top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part IV / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma
Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part IV / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (XXIV, 471 p. 124 illus., 112 illus. in color.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computer engineering
Computer networks
Computers
Information technology - Management
Social sciences - Data processing
Application software
Artificial Intelligence
Computer Engineering and Networks
Computing Milieux
Computer Application in Administrative Data Processing
Computer Application in Social and Behavioral Sciences
Computer and Information Systems Applications
ISBN 3-031-40292-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Emerging technologies for Knowledge science, engineering and management -- Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering -- Advancing Domain Adaptation of BERT by Learning Domain Term Semantics -- Deep Reinforcement Learning for Group-Aware Robot Navigation in Crowds -- An Enhanced Distributed Algorithm for Area Skyline Computation based on Apache Spark -- TCMCoRep: Traditional Chinese Medicine data mining with Contrastive Graph Representation Learning -- Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models -- PRACM: Predictive Rewards for Actor-Critic with Mixing Function in Multi-Agent Reinforcement Learning -- A Cybersecurity Knowledge Graph Completion Method for Scalable Scenarios -- Research on remote sensing image classification based on Transfer learning and Data Augmentation -- Multivariate Long-Term Traffic Forecasting with Graph Convolutional Network and Historical Attention Mechanism -- Multi-hop Reading Comprehension Learning Method Based on Answer Contrastive Learning -- Importance-based Neuron Selective Distillation for Interference Mitigation in Multilingual Neural Machine Translation -- Are GPT Embeddings Useful for Ads and Recommendation? -- Modal interaction-enhanced Prompt Learning by transformer decoder for Vision-Language Models -- Unveiling Cybersecurity Threats from Online Chat Groups: A Triple Extraction Approach -- KSRL: Knowledge Selection based Reinforcement Learning for Knowledge-Grounded Dialogue -- Prototype-Augmented Contrastive Learning for Few-shot Unsupervised Domain Adaptation -- Style Augmentation and Domain-aware Parametric Contrastive Learning for Domain Generalization -- Recent Progress on Text Summarisation Based on BERT and GPT -- Ensemble Strategy Based on Deep Reinforcement Learning for Portfolio Optimization -- A Legal Multi-Choice Question Answering Model Based on BERT and Attention -- Offline Reinforcement Learning with Diffusion-Based Behavior Cloning Term -- Evolutionary Verbalizer Search for Prompt-based Few Shot Text Classification -- Graph Contrastive Learning Method with Sample Disparity Constraint and Feature Structure Graph for Node Classification -- Learning Category Discriminability for Active Domain Adaptation -- Multi-Level Contrastive Learning for Commonsense Question Answering -- Efficient Hash Coding for Image Retrieval based on Improved Center Generation and Contrastive Pre-training Knowledge Model -- Univarite Time Series Forecasting via Interactive Learning -- Task Inference for Offline Meta Reinforcement Learning via Latent Shared Knowledge -- A Quantitative Spectra Analysis Framework Combining Mixup and Band Attention for Predicting Soluble Solid Content of Blueberries -- Contextualized Hybrid Prompt-Tuning for Generation-Based Event Extraction -- udPINNs: An Enhanced PDE Solving Algorithm Incorporating Domain of Dependence Knowledge -- Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning -- A Reinforcement Learning-based Approach for Continuous Knowledge Graph Construction -- A Multifactorial Evolutionary Algorithm based on Model Knowledge Transfer -- Knowledge Leadership, AI Technology Adoption and Big Data Application Ability -- RFLSem: A lightweight model for textual sentiment analysis.
Record Nr. UNISA-996546854103316
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part III / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma
Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part III / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (XXIV, 438 p. 120 illus., 115 illus. in color.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computer engineering
Computer networks
Computers
Information technology - Management
Social sciences - Data processing
Application software
Artificial Intelligence
Computer Engineering and Networks
Computing Milieux
Computer Application in Administrative Data Processing
Computer Application in Social and Behavioral Sciences
Computer and Information Systems Applications
ISBN 3-031-40289-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Knowledge Management Systems -- Explainable Multi-type Item Recommendation System based on Knowledge Graph -- A 2D Entity Pair Tagging Scheme for Relation Triplet Extraction -- MVARN: Multi-view attention relation network for figure question answering -- MAGNN-GC: Multi-Head Attentive Graph Neural Networks with Global Context for Session-based Recommendation -- Chinese Relation Extraction with Bi-directional Context-based Lattice LSTM -- MA-TGNN: Multiple Aggregators Graph-Based Model for Text Classification -- Multi-Display Graph Attention Network for Text Classification -- Debiased Contrastive Loss for Collaborative Filtering -- ParaSum: Contrastive Paraphrasing for Low-resource Extractive Text Summarization -- Degree-aware embedding and Interactive feature fusion-based Graph Convolution Collaborative Filtering -- Hypergraph Enhanced Contrastive Learning for News Recommendation -- Reinforcement Learning-Based Recommendation with User Reviews on Knowledge Graphs -- A Session Recommendation Model based on Heterogeneous Graph Neural Network -- Dialogue State Tracking with a Dialogue-aware Slot-Level Schema Graph Approach -- FedDroidADP: An Adaptive Privacy-Preserving Framework for Federated-Learning-based Android Malware Classification System -- Multi-level and Multi-interest User Interest Modeling for News Recommendation -- CoMeta: Enhancing Meta Embeddings with Collaborative Information in Cold-start Problem of Recommendation -- A Graph Neural Network for Cross-Domain Recommendation Based on Transfer and Inter-Domain Contrastive Learning -- A Hypergraph Augmented and Information Supplementary Network for Session-based Recommendation -- Candidate-aware Attention Enhanced Graph Neural Network for News Recommendation -- Heavy Weighting for Potential Important Clauses -- Knowledge-Aware Two-Stream Decoding for Outline-Conditioned Chinese Story Generation -- Multi-Path based Self-Adaptive Cross-Lingual Summarization -- Temporal Repetition Counting Based on Multi-Stride Collaboration -- Multi-layer Attention Social Recommendation System based on Deep Reinforcement Learning -- SPOAHA: Spark program optimizer based on Artificial Hummingbird Algorithm -- TGKT-based Personalized Learning Path Recommendation with Reinforcement Learning -- Fusion High-Order information with Nonnegative Matrix Factorization Based Community Infomax for Community Detection -- Multi-task learning based skin segmentation -- User Feedback-based Counterfactual Data Augmentation for Sequential Recommendation -- Citation Recommendation Based on Knowledge Graph and Multi-task Learning -- A Pairing Enhancement Approach for Aspect Sentiment Triplet Extraction -- The Minimal Negated Model Semantics of Assumable Logic Programs -- MT-BICN: Multi-task Balanced Information Cascade Network for Recommendation.
Record Nr. UNISA-996546854003316
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part II / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma
Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part II / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (XXIV, 461 p. 159 illus., 141 illus. in color.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Data structures (Computer science)
Information theory
Application software
Computer science
Information technology - Management
Social sciences - Data processing
Artificial Intelligence
Data Structures and Information Theory
Computer and Information Systems Applications
Theory of Computation
Computer Application in Administrative Data Processing
Computer Application in Social and Behavioral Sciences
ISBN 3-031-40286-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Knowledge Engineering Research and Applications -- Knowing before Seeing: Incorporating Post-Retrieval Information into Pre-Retrieval Query Intention Classification -- LSRN: Live-Streaming Identification Based on Reasoning Network with Core Traffic Set -- Implicit Offensive Speech Detection Based on Multi-feature Fusion -- SIE-YOLOv5: Improved YOLOv5 for Small Object Detection in Drone-Captured-Scenarios -- Learning-based Dichotomy Graph Sketch for Summarizing Graph Streams with High Accuracy -- SNAFA-Net: Squared Normalization Attention and Feature Alignment for Visible-Infrared Person Re-identification -- A comparative study of chatbot response generation: traditional approaches versus large language models -- Investigating the Impact of Product Contours on User Perception of Product Attributes -- Conf-UNet: A model for speculation on unknown Oracle Bone Characters -- An Efficient One-Shot Network and Robust Data Associations in Multi-Pedestrian Tracking -- Sampling Spatial-Temporal Attention Network for Traffic Forecasting -- ST-MAN: Spatio-Temporal Multimodal Attention Network for Traffic Prediction -- Sparse-view CT Reconstruction via Implicit Neural Intensity Functions -- Tennis action recognition based on multi-branch mixed attention -- Cascade Sampling via Dual Uncertainty for Active Entity Alignment -- Template Shift and Background Suppression for Visual Object Tracking -- Reversible Data Hiding in Encrypted Images Based on A Multi-Granularity Adaptive Classification Mechanism -- Enhanced Entity Interaction Modeling for Multi-modal Entity Alignment -- Monte Carlo Medical Volume Rendering Denoising via Auxiliary Feature Guided Self-Attention and Convolution Integrated -- View Distribution Alignment with Progressive Adversarial Learning for UAV Visual Geo-Localization -- HBay: Predicting Human Mobility via Hyperspherical Bayesian Learning -- Spatial-Temporal Diffusion Probabilistic Learning for Crime Prediction -- DBA: An Efficient Approach to Boost Transfer-based Adversarial Attack Performance through Information Deletion -- A Graph Partitioning Algorithm Based on Graph Structure and Label Propagation for Citation Network Prediction -- Hybrid Heterogeneous Graph Neural Networks for Fund Performance Prediction -- WGCN: A Novel Wavelet Graph Neural Network for Metro Ridership Prediction -- GMiRec: A Multi-image Visual Recommendation Model based on a Gated Neural Network -- Semi-supervised entity alignment via noisy student-based self training -- Modeling Chinese Ancient Book Catalog -- JOINT EXTRACTION OF NESTED ENTITIES AND RELATIONS BASED ON MULTI-TASK LEARNING -- A Grasping System with Structured Light 3D Machine Vision Guided Strategy Optimization -- A Cognitive Knowledge Enriched Joint Framework for Social Emotion and Cause Mining -- TKSP: Long-term Stance Prediction for Social Media Users by Fusing Time Series Features and Event Dynamic Evolution Knowledge -- A Cross-Document Coreference Resolution Approach to Low-Resource Languages -- Network Flow Based IoT Anomaly Detection Using Graph Neural Network -- Disentangled Multi-factor Graph Neural Network for Non-coding RNA-drug Resistance Association Prediction. .
Record Nr. UNISA-996546854203316
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part I / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma
Knowledge Science, Engineering and Management [[electronic resource] ] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part I / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (XXIV, 457 p. 124 illus., 108 illus. in color.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computer engineering
Computer networks
Computers
Social sciences - Data processing
Computer science
Artificial Intelligence
Computer Engineering and Networks
Computing Milieux
Computer Application in Social and Behavioral Sciences
Computer Science
ISBN 3-031-40283-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Knowledge Science with Learning and AI -- Joint Feature Selection and Classifier Parameter Optimization: A Bio-inspired Approach -- Automatic Gaussian Bandwidth Selection for Kernel Principal Component Analysis -- Boosting LightWeight Depth Estimation Via Knowledge Distillation -- Graph Neural Network with Neighborhood Reconnection -- Critical Node Privacy Protection Based on Random Pruning of Critical Trees -- DSEAformer: Forecasting by De-stationary Autocorrelation with Edgebound -- Multitask-based Cluster Transmission for Few-Shot Text Classification -- Hyperplane Knowledge Graph Embedding with Path Neighborhoods and Mapping Properties -- RTAD-TP: Real- Time Anomaly Detection Algorithm for Univariate Time Series Data Based on Two- Parameter Estimation -- Multi-Sampling Item Response Ranking Neural Cognitive Diagnosis with Bilinear Feature Interaction -- A Sparse Matrix Optimization Method for Graph Neural Networks Training -- Dual-dimensional Refinement of Knowledge Graph Embedding Representation -- Contextual Information Augmented Few-Shot Relation Extraction -- Dynamic and Static Feature-aware Microservices Decomposition via Graph Neural Networks -- An Enhanced Fitness-distance Balance Slime Mould Algorithm and Its Application in Feature Selection -- Low Redundancy Learning for Unsupervised Multi-view Feature Selection -- Dynamic Feed-Forward LSTM -- Black-box Adversarial Attack on Graph Neural Networks Based on Node Domain Knowledge -- Role and Relationship-Aware Representation Learning for Complex Coupled Dynamic Heterogeneous Networks -- Twin Graph Attention Network with Evolution Pattern Learner for Few-Shot Temporal Knowledge Graph Completion -- Subspace Clustering with Feature Grouping for Categorical Data -- Learning Graph Neural Networks on Feature-Missing Graphs -- Dealing with Over-reliance on Background Graph for Few-shot Knowledge Graph Completion -- Kernel-based feature extraction for time series clustering -- Cluster Robust Inference for embedding-based Knowledge Graph Completion -- Community-enhanced Contrastive Siamese networks for Graph Representation Learning -- Distant Supervision Relation Extraction with Improved PCNN and Multi-level Attention -- Enhancing Adversarial Robustness via Anomaly-aware Adversarial Training -- An Improved Cross-Validated Adversarial Validation Method -- EACCNet: Enhanced Auto-Cross Correlation Network for Few-Shot Classification -- Joint Label-Structure Estimation from Multifaceted Graph Data -- Dual Channel Knowledge Graph Embedding with Ontology Guided Data Augmentation -- Multi-Dimensional Graph Rule Learner -- MixUNet: A Hybrid Retinal Vessels Segmentation Model Combining The Latest CNN and MLPs -- Robust Few-shot Graph Anomaly Detection via Graph Coarsening -- An Evaluation Metric for Prediction Stability with Imprecise Data -- Reducing The Teacher-Student Gap Via Elastic Student.
Record Nr. UNISA-996546853603316
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Knowledge Science, Engineering and Management : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part I / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma
Knowledge Science, Engineering and Management : 16th International Conference, KSEM 2023, Guangzhou, China, August 16–18, 2023, Proceedings, Part I / / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (XXIV, 457 p. 124 illus., 108 illus. in color.)
Disciplina 006.312
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computer engineering
Computer networks
Computers
Social sciences - Data processing
Computer science
Artificial Intelligence
Computer Engineering and Networks
Computing Milieux
Computer Application in Social and Behavioral Sciences
Computer Science
ISBN 3-031-40283-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Knowledge Science with Learning and AI -- Joint Feature Selection and Classifier Parameter Optimization: A Bio-inspired Approach -- Automatic Gaussian Bandwidth Selection for Kernel Principal Component Analysis -- Boosting LightWeight Depth Estimation Via Knowledge Distillation -- Graph Neural Network with Neighborhood Reconnection -- Critical Node Privacy Protection Based on Random Pruning of Critical Trees -- DSEAformer: Forecasting by De-stationary Autocorrelation with Edgebound -- Multitask-based Cluster Transmission for Few-Shot Text Classification -- Hyperplane Knowledge Graph Embedding with Path Neighborhoods and Mapping Properties -- RTAD-TP: Real- Time Anomaly Detection Algorithm for Univariate Time Series Data Based on Two- Parameter Estimation -- Multi-Sampling Item Response Ranking Neural Cognitive Diagnosis with Bilinear Feature Interaction -- A Sparse Matrix Optimization Method for Graph Neural Networks Training -- Dual-dimensional Refinement of Knowledge Graph Embedding Representation -- Contextual Information Augmented Few-Shot Relation Extraction -- Dynamic and Static Feature-aware Microservices Decomposition via Graph Neural Networks -- An Enhanced Fitness-distance Balance Slime Mould Algorithm and Its Application in Feature Selection -- Low Redundancy Learning for Unsupervised Multi-view Feature Selection -- Dynamic Feed-Forward LSTM -- Black-box Adversarial Attack on Graph Neural Networks Based on Node Domain Knowledge -- Role and Relationship-Aware Representation Learning for Complex Coupled Dynamic Heterogeneous Networks -- Twin Graph Attention Network with Evolution Pattern Learner for Few-Shot Temporal Knowledge Graph Completion -- Subspace Clustering with Feature Grouping for Categorical Data -- Learning Graph Neural Networks on Feature-Missing Graphs -- Dealing with Over-reliance on Background Graph for Few-shot Knowledge Graph Completion -- Kernel-based feature extraction for time series clustering -- Cluster Robust Inference for embedding-based Knowledge Graph Completion -- Community-enhanced Contrastive Siamese networks for Graph Representation Learning -- Distant Supervision Relation Extraction with Improved PCNN and Multi-level Attention -- Enhancing Adversarial Robustness via Anomaly-aware Adversarial Training -- An Improved Cross-Validated Adversarial Validation Method -- EACCNet: Enhanced Auto-Cross Correlation Network for Few-Shot Classification -- Joint Label-Structure Estimation from Multifaceted Graph Data -- Dual Channel Knowledge Graph Embedding with Ontology Guided Data Augmentation -- Multi-Dimensional Graph Rule Learner -- MixUNet: A Hybrid Retinal Vessels Segmentation Model Combining The Latest CNN and MLPs -- Robust Few-shot Graph Anomaly Detection via Graph Coarsening -- An Evaluation Metric for Prediction Stability with Imprecise Data -- ReducingThe Teacher-Student Gap Via Elastic Student.
Record Nr. UNINA-9910741152703321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Knowledge Science, Engineering and Management [[electronic resource] ] : 10th International Conference, KSEM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Proceedings / / edited by Gang Li, Yong Ge, Zili Zhang, Zhi Jin, Michael Blumenstein
Knowledge Science, Engineering and Management [[electronic resource] ] : 10th International Conference, KSEM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Proceedings / / edited by Gang Li, Yong Ge, Zili Zhang, Zhi Jin, Michael Blumenstein
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XVII, 563 p. 150 illus.)
Disciplina 006.33
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Data mining
Application software
Information storage and retrieval
Optical data processing
Computer communication systems
Artificial Intelligence
Data Mining and Knowledge Discovery
Computer Applications
Information Storage and Retrieval
Computer Imaging, Vision, Pattern Recognition and Graphics
Computer Communication Networks
ISBN 3-319-63558-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Learning from Non-stationary Distributions (Invited Speech) -- Contents -- Text Mining and Document Analysis -- Learning Sparse Overcomplete Word Vectors Without Intermediate Dense Representations -- 1 Introduction -- 2 Related Work -- 3 Our Model -- 3.1 Parameter Estimation -- 3.2 Optimization Algorithm -- 4 Evaluation -- 4.1 Experimental Settings -- 4.2 Word Analogy -- 4.3 Word Similarity -- 4.4 Interpretability -- 5 Conclusion -- References -- A Study of Distributed Semantic Representations for Automated Essay Scoring -- 1 Introduction -- 2 Common Text Features -- 3 Semantic Representations for AES -- 3.1 Methods for Vector Representations -- 3.2 Semantic Features -- 4 Experimental Settings -- 4.1 Dataset -- 4.2 Evaluation Metrics and Learning Algorithms -- 5 Evaluation Design and Results -- 5.1 Evaluation Design -- 5.2 Evaluation Results -- 6 Conclusions and Future Work -- References -- Weakly Supervised Feature Compression Based Topic Model for Sentiment Classification -- 1 Introduction -- 2 Related Work -- 3 Hidden Topic Analysis Model -- 4 Weakly Supervised Feature Compression Based ELDA -- 5 Experiment Results -- 5.1 Data Preparation -- 5.2 Performance Evaluation -- 5.3 Results with Different Topics -- 5.4 Results with Different Gibbs Sampling Iterations -- 6 Conclusion -- References -- An Effective Gated and Attention-Based Neural Network Model for Fine-Grained Financial Target-Dependent Sentiment Analysis -- 1 Introduction -- 2 Related Work -- 3 The Proposed Neural Network Model GABi-LSTM -- 3.1 Motivation -- 3.2 The Overview of Model Architecture -- 3.3 Word Representation with Gated Char- and Word- Embedding -- 3.4 Sentence Representation with Attention-Based Bi-LSTM -- 3.5 Linear Regression -- 3.6 Parameter Learning -- 4 Experiments -- 4.1 Datasets -- 4.2 Evaluation Measure.
4.3 Experimental Results -- 4.4 Comparison with the State-of-the-Art Systems -- 4.5 Qualitative Visualization Analysis -- 5 Concluding Remarks -- References -- A Hidden Astroturfing Detection Approach Base on Emotion Analysis -- 1 Introduction -- 2 Related Work -- 3 Hidden Astroturfing Detection Method -- 3.1 Data Preparation -- 3.2 Pre-processing Operations -- 3.3 Bag-of-Word Module Construction -- 3.4 Emotion Mining and Analysis -- 3.5 Matching -- 3.6 Summary -- 4 Experiment and Evaluation -- 4.1 Experiment Setup -- 4.2 Evaluation Result -- 5 Conclusion -- References -- Leveraging Term Co-occurrence Distance and Strong Classification Features for Short Text Feature Selection -- Abstract -- 1 Introduction -- 2 Problem Preliminaries -- 2.1 Correlation of Two Terms in a Text -- 2.2 Expected Cross Entropy -- 3 The Proposed Approach -- 3.1 Terming Weighting Method Based on Co-occurrence Distance -- 3.2 Feature Dictionary Construction -- 4 Experiments and Results Analysis -- 4.1 Data Sets and Evaluation Metrics -- 4.2 Experimental Results and Analysis -- 4.2.1 Comparison of Feature Dictionaries -- 4.2.2 Effect of Variation of Dictionary Size for Short Text Classification -- 4.2.3 Classification Performance of Different Feature Selection Methods -- 5 Conclusions and Future Work -- Acknowledgement -- References -- Formal Semantics and Fuzzy Logic -- A Fuzzy Logic Based Policy Negotiation Model -- 1 Introduction -- 2 Preliminaries -- 3 Model Definition -- 4 Fuzzy Rules -- 5 Experiment -- 6 Related Work -- 7 Conclusions -- References -- f-ALC(D)-LTL: A Fuzzy Spatio-Temporal Description Logic -- 1 Introduction -- 2 Spatial Fuzzy Description Logic -- 3 Fuzzy Spatio-Temporal Description Logic f-ALC(D)-LTL -- 3.1 Syntax -- 3.2 Models -- 4 Hintikka Structures for f-ALC(D)-LTL -- 5 Reasoning in f-ALC(D)-LTL -- 5.1 Tableau Rules -- 5.2 Tableau Construction.
5.3 Tableau Elimination -- 5.4 Correctness -- 6 Conclusion and Future Work -- References -- R-Calculus for the Primitive Statements in Description Logic ALC -- 1 Introduction -- 2 Description Logic ALC -- 3 R-Calculus for Subset-Minimal Change -- 3.1 SDL: R-Calculus for a Statement -- 3.2 SDL: R-Calculus for a Set of Statements -- 4 Conclusions and Further Works -- References -- A Multi-objective Attribute Reduction Method in Decision-Theoretic Rough Set Model -- 1 Introduction -- 2 Preliminaries -- 2.1 Decision-Theoretic Rough Set Model -- 2.2 Three Kinds of Criteria in Decision-Theoretic Rough Set Model -- 3 Multi-objective Attribute Reduction in Decision-Theoretic Rough Set Model -- 3.1 Multi-objective Attribute Reduct -- 3.2 Multi-objective Attribute Reduction Algorithm -- 4 Experiments -- 4.1 Dataset -- 4.2 Experimental Setting -- 4.3 Experimental Results -- 5 Conclusion -- References -- A Behavior-Based Method for Distinction of Flooding DDoS and Flash Crowds -- 1 Introduction -- 2 Proposed Method -- 3 Experiments -- 4 Conclusion -- References -- Knowledge Management -- Analyzing Customer's Product Preference Using Wireless Signals -- 1 Introduction -- 2 Channel State Information -- 3 Analyzing Customer's Product Preference Using CSI -- 3.1 CSI Preprocessing -- 3.2 Feature Extraction -- 3.3 Classification -- 4 Performance Evaluation -- 4.1 Experimental Methodology -- 4.2 Feasibility of Customer's Product Preference Analysis -- 5 Related Work -- 5.1 Device-Based Activity Sensing -- 5.2 Device-Free Activity Sensing Using WiFi -- 6 Conclusion -- References -- Improved Knowledge Base Completion by the Path-Augmented TransR Model -- 1 Introduction -- 2 Our Approach -- 2.1 Base Model: TransR -- 2.2 Path-Augmented TransR: PTransR -- 2.3 Training Details -- 3 Evaluation -- 3.1 Dataset -- 3.2 Experimental Settings -- 3.3 Overall Performance.
3.4 In-Depth Analysis and Discussion -- 4 Related Work -- 5 Conclusion -- References -- Balancing Between Cognitive and Semantic Acceptability of Arguments -- 1 Introduction -- 2 Preliminaries -- 3 Equilibrium-Based Resolutions -- 3.1 Semantic and Cognitive Acceptabilities -- 3.2 Satisfiability Resolution -- 3.3 Entailment Resolution -- 3.4 Semantic Equivalence Resolution -- 4 Generality and Applicability -- 4.1 Characterising Existence of Resolutions -- 4.2 Application Illustration in Online Forum -- 5 Conclusions and Discussion -- A Proofs -- References -- Discovery of Jump Breaks in Joint Volatility for Volume and Price of High-Frequency Trading Data in China -- Abstract -- 1 Introduction -- 2 Bivariate Normal Distribution -- 3 Realized Trading Volatility of Price and Volume -- 3.1 Price Volatility -- 3.2 Volume Volatility -- 3.3 Volatility Rate of Price and Volume of Realized Trading -- 4 The Jump Point Model for High-Frequency Trading Volatility Break -- 5 The Algorithm of Point-by-Point Test for Jump Critical Points -- 6 The Empirical Analysis of Jump Critical Points -- 7 Conclusion -- Acknowledgments -- References -- Device-Free Intruder Sensing Leveraging Fine-Grained Physical Layer Signatures -- 1 Introduction -- 2 Related Work -- 2.1 Gait Based Human Identification -- 2.2 WiFi Based Activity Recognition -- 3 System Design -- 3.1 Channel State Information Extration -- 3.2 Data Prepocessing -- 3.3 Step Analysis -- 3.4 Device-Free Intruder Sensing -- 4 Experimentation Evaluation -- 4.1 Equipment -- 4.2 Experimental Results -- 5 Conclusion -- References -- Understanding Knowledge Management in Agile Software Development Practice -- Abstract -- 1 Introduction -- 2 Background and Related Work -- 2.1 Knowledge Classifications -- 2.2 Prior Reviews on Knowledge Management in ASD -- 3 Review Method.
3.1 Planning the Review and Identifying Relevant Literature -- 3.2 Publication Selection -- 3.3 Data Extraction and Synthesis -- 4 Results -- 4.1 Agile Practices Supporting Knowledge Management -- 4.2 Knowledge Involved in Agile Practices -- 5 Discussion -- 5.1 Implications -- 5.2 Limitations -- 6 Conclusion -- Acknowledgement -- References -- Knowledge Integration -- Multi-view Unit Intact Space Learning -- 1 Introduction -- 2 The Proposed Model -- 2.1 Background -- 2.2 Multi-view Unit Intact Space Learning -- 3 Optimization -- 3.1 Update Latent Feature Vectors in Unit Intact Space -- 3.2 Update View Generation Matrices -- 3.3 Convergence Analysis -- 3.4 Complexity Analysis -- 4 Experiments -- 4.1 Datasets and Evaluation Measures -- 4.2 Parameter Analysis -- 4.3 Comparison Results -- 5 Conclusion -- References -- A Novel Blemish Detection Algorithm for Camera Quality Testing -- Abstract -- 1 Introduction -- 2 Related Works -- 2.1 Traditional Methods Based on Image Filtering -- 2.2 Image Size Reduction by Scaling -- 2.3 Median Filtering -- 2.4 Image Subtraction -- 2.5 Thresholding -- 3 Novel Filtering Method -- 3.1 Influences of Image Noises -- 3.2 Proposed Multi-directional Median Filter -- 3.3 Adaptive Threshold with Bias -- 4 Results and Discussion -- 4.1 Low Noise Samples -- 4.2 High Noise Samples -- 5 Conclusion -- Acknowledgments -- References -- Learning to Infer API Mappings from API Documents -- 1 Introduction -- 2 Related Work -- 3 Approach -- 3.1 Overview -- 3.2 Understanding API Documents -- 3.3 Computing Similarity Between APIs -- 4 Evaluation -- 4.1 Dataset -- 4.2 Experimental Settings -- 4.3 Results -- 5 Conclusion -- References -- Super-Resolution for Images with Barrel Lens Distortions -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Pretreatment Process -- 3.2 Training Stage -- 3.3 Testing Stage.
4 Experiments.
Record Nr. UNISA-996466472203316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Knowledge Science, Engineering and Management : 10th International Conference, KSEM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Proceedings / / edited by Gang Li, Yong Ge, Zili Zhang, Zhi Jin, Michael Blumenstein
Knowledge Science, Engineering and Management : 10th International Conference, KSEM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Proceedings / / edited by Gang Li, Yong Ge, Zili Zhang, Zhi Jin, Michael Blumenstein
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XVII, 563 p. 150 illus.)
Disciplina 006.33
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Data mining
Application software
Information storage and retrieval systems
Image processing - Digital techniques
Computer vision
Computer networks
Artificial Intelligence
Data Mining and Knowledge Discovery
Computer and Information Systems Applications
Information Storage and Retrieval
Computer Imaging, Vision, Pattern Recognition and Graphics
Computer Communication Networks
ISBN 3-319-63558-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Learning from Non-stationary Distributions (Invited Speech) -- Contents -- Text Mining and Document Analysis -- Learning Sparse Overcomplete Word Vectors Without Intermediate Dense Representations -- 1 Introduction -- 2 Related Work -- 3 Our Model -- 3.1 Parameter Estimation -- 3.2 Optimization Algorithm -- 4 Evaluation -- 4.1 Experimental Settings -- 4.2 Word Analogy -- 4.3 Word Similarity -- 4.4 Interpretability -- 5 Conclusion -- References -- A Study of Distributed Semantic Representations for Automated Essay Scoring -- 1 Introduction -- 2 Common Text Features -- 3 Semantic Representations for AES -- 3.1 Methods for Vector Representations -- 3.2 Semantic Features -- 4 Experimental Settings -- 4.1 Dataset -- 4.2 Evaluation Metrics and Learning Algorithms -- 5 Evaluation Design and Results -- 5.1 Evaluation Design -- 5.2 Evaluation Results -- 6 Conclusions and Future Work -- References -- Weakly Supervised Feature Compression Based Topic Model for Sentiment Classification -- 1 Introduction -- 2 Related Work -- 3 Hidden Topic Analysis Model -- 4 Weakly Supervised Feature Compression Based ELDA -- 5 Experiment Results -- 5.1 Data Preparation -- 5.2 Performance Evaluation -- 5.3 Results with Different Topics -- 5.4 Results with Different Gibbs Sampling Iterations -- 6 Conclusion -- References -- An Effective Gated and Attention-Based Neural Network Model for Fine-Grained Financial Target-Dependent Sentiment Analysis -- 1 Introduction -- 2 Related Work -- 3 The Proposed Neural Network Model GABi-LSTM -- 3.1 Motivation -- 3.2 The Overview of Model Architecture -- 3.3 Word Representation with Gated Char- and Word- Embedding -- 3.4 Sentence Representation with Attention-Based Bi-LSTM -- 3.5 Linear Regression -- 3.6 Parameter Learning -- 4 Experiments -- 4.1 Datasets -- 4.2 Evaluation Measure.
4.3 Experimental Results -- 4.4 Comparison with the State-of-the-Art Systems -- 4.5 Qualitative Visualization Analysis -- 5 Concluding Remarks -- References -- A Hidden Astroturfing Detection Approach Base on Emotion Analysis -- 1 Introduction -- 2 Related Work -- 3 Hidden Astroturfing Detection Method -- 3.1 Data Preparation -- 3.2 Pre-processing Operations -- 3.3 Bag-of-Word Module Construction -- 3.4 Emotion Mining and Analysis -- 3.5 Matching -- 3.6 Summary -- 4 Experiment and Evaluation -- 4.1 Experiment Setup -- 4.2 Evaluation Result -- 5 Conclusion -- References -- Leveraging Term Co-occurrence Distance and Strong Classification Features for Short Text Feature Selection -- Abstract -- 1 Introduction -- 2 Problem Preliminaries -- 2.1 Correlation of Two Terms in a Text -- 2.2 Expected Cross Entropy -- 3 The Proposed Approach -- 3.1 Terming Weighting Method Based on Co-occurrence Distance -- 3.2 Feature Dictionary Construction -- 4 Experiments and Results Analysis -- 4.1 Data Sets and Evaluation Metrics -- 4.2 Experimental Results and Analysis -- 4.2.1 Comparison of Feature Dictionaries -- 4.2.2 Effect of Variation of Dictionary Size for Short Text Classification -- 4.2.3 Classification Performance of Different Feature Selection Methods -- 5 Conclusions and Future Work -- Acknowledgement -- References -- Formal Semantics and Fuzzy Logic -- A Fuzzy Logic Based Policy Negotiation Model -- 1 Introduction -- 2 Preliminaries -- 3 Model Definition -- 4 Fuzzy Rules -- 5 Experiment -- 6 Related Work -- 7 Conclusions -- References -- f-ALC(D)-LTL: A Fuzzy Spatio-Temporal Description Logic -- 1 Introduction -- 2 Spatial Fuzzy Description Logic -- 3 Fuzzy Spatio-Temporal Description Logic f-ALC(D)-LTL -- 3.1 Syntax -- 3.2 Models -- 4 Hintikka Structures for f-ALC(D)-LTL -- 5 Reasoning in f-ALC(D)-LTL -- 5.1 Tableau Rules -- 5.2 Tableau Construction.
5.3 Tableau Elimination -- 5.4 Correctness -- 6 Conclusion and Future Work -- References -- R-Calculus for the Primitive Statements in Description Logic ALC -- 1 Introduction -- 2 Description Logic ALC -- 3 R-Calculus for Subset-Minimal Change -- 3.1 SDL: R-Calculus for a Statement -- 3.2 SDL: R-Calculus for a Set of Statements -- 4 Conclusions and Further Works -- References -- A Multi-objective Attribute Reduction Method in Decision-Theoretic Rough Set Model -- 1 Introduction -- 2 Preliminaries -- 2.1 Decision-Theoretic Rough Set Model -- 2.2 Three Kinds of Criteria in Decision-Theoretic Rough Set Model -- 3 Multi-objective Attribute Reduction in Decision-Theoretic Rough Set Model -- 3.1 Multi-objective Attribute Reduct -- 3.2 Multi-objective Attribute Reduction Algorithm -- 4 Experiments -- 4.1 Dataset -- 4.2 Experimental Setting -- 4.3 Experimental Results -- 5 Conclusion -- References -- A Behavior-Based Method for Distinction of Flooding DDoS and Flash Crowds -- 1 Introduction -- 2 Proposed Method -- 3 Experiments -- 4 Conclusion -- References -- Knowledge Management -- Analyzing Customer's Product Preference Using Wireless Signals -- 1 Introduction -- 2 Channel State Information -- 3 Analyzing Customer's Product Preference Using CSI -- 3.1 CSI Preprocessing -- 3.2 Feature Extraction -- 3.3 Classification -- 4 Performance Evaluation -- 4.1 Experimental Methodology -- 4.2 Feasibility of Customer's Product Preference Analysis -- 5 Related Work -- 5.1 Device-Based Activity Sensing -- 5.2 Device-Free Activity Sensing Using WiFi -- 6 Conclusion -- References -- Improved Knowledge Base Completion by the Path-Augmented TransR Model -- 1 Introduction -- 2 Our Approach -- 2.1 Base Model: TransR -- 2.2 Path-Augmented TransR: PTransR -- 2.3 Training Details -- 3 Evaluation -- 3.1 Dataset -- 3.2 Experimental Settings -- 3.3 Overall Performance.
3.4 In-Depth Analysis and Discussion -- 4 Related Work -- 5 Conclusion -- References -- Balancing Between Cognitive and Semantic Acceptability of Arguments -- 1 Introduction -- 2 Preliminaries -- 3 Equilibrium-Based Resolutions -- 3.1 Semantic and Cognitive Acceptabilities -- 3.2 Satisfiability Resolution -- 3.3 Entailment Resolution -- 3.4 Semantic Equivalence Resolution -- 4 Generality and Applicability -- 4.1 Characterising Existence of Resolutions -- 4.2 Application Illustration in Online Forum -- 5 Conclusions and Discussion -- A Proofs -- References -- Discovery of Jump Breaks in Joint Volatility for Volume and Price of High-Frequency Trading Data in China -- Abstract -- 1 Introduction -- 2 Bivariate Normal Distribution -- 3 Realized Trading Volatility of Price and Volume -- 3.1 Price Volatility -- 3.2 Volume Volatility -- 3.3 Volatility Rate of Price and Volume of Realized Trading -- 4 The Jump Point Model for High-Frequency Trading Volatility Break -- 5 The Algorithm of Point-by-Point Test for Jump Critical Points -- 6 The Empirical Analysis of Jump Critical Points -- 7 Conclusion -- Acknowledgments -- References -- Device-Free Intruder Sensing Leveraging Fine-Grained Physical Layer Signatures -- 1 Introduction -- 2 Related Work -- 2.1 Gait Based Human Identification -- 2.2 WiFi Based Activity Recognition -- 3 System Design -- 3.1 Channel State Information Extration -- 3.2 Data Prepocessing -- 3.3 Step Analysis -- 3.4 Device-Free Intruder Sensing -- 4 Experimentation Evaluation -- 4.1 Equipment -- 4.2 Experimental Results -- 5 Conclusion -- References -- Understanding Knowledge Management in Agile Software Development Practice -- Abstract -- 1 Introduction -- 2 Background and Related Work -- 2.1 Knowledge Classifications -- 2.2 Prior Reviews on Knowledge Management in ASD -- 3 Review Method.
3.1 Planning the Review and Identifying Relevant Literature -- 3.2 Publication Selection -- 3.3 Data Extraction and Synthesis -- 4 Results -- 4.1 Agile Practices Supporting Knowledge Management -- 4.2 Knowledge Involved in Agile Practices -- 5 Discussion -- 5.1 Implications -- 5.2 Limitations -- 6 Conclusion -- Acknowledgement -- References -- Knowledge Integration -- Multi-view Unit Intact Space Learning -- 1 Introduction -- 2 The Proposed Model -- 2.1 Background -- 2.2 Multi-view Unit Intact Space Learning -- 3 Optimization -- 3.1 Update Latent Feature Vectors in Unit Intact Space -- 3.2 Update View Generation Matrices -- 3.3 Convergence Analysis -- 3.4 Complexity Analysis -- 4 Experiments -- 4.1 Datasets and Evaluation Measures -- 4.2 Parameter Analysis -- 4.3 Comparison Results -- 5 Conclusion -- References -- A Novel Blemish Detection Algorithm for Camera Quality Testing -- Abstract -- 1 Introduction -- 2 Related Works -- 2.1 Traditional Methods Based on Image Filtering -- 2.2 Image Size Reduction by Scaling -- 2.3 Median Filtering -- 2.4 Image Subtraction -- 2.5 Thresholding -- 3 Novel Filtering Method -- 3.1 Influences of Image Noises -- 3.2 Proposed Multi-directional Median Filter -- 3.3 Adaptive Threshold with Bias -- 4 Results and Discussion -- 4.1 Low Noise Samples -- 4.2 High Noise Samples -- 5 Conclusion -- Acknowledgments -- References -- Learning to Infer API Mappings from API Documents -- 1 Introduction -- 2 Related Work -- 3 Approach -- 3.1 Overview -- 3.2 Understanding API Documents -- 3.3 Computing Similarity Between APIs -- 4 Evaluation -- 4.1 Dataset -- 4.2 Experimental Settings -- 4.3 Results -- 5 Conclusion -- References -- Super-Resolution for Images with Barrel Lens Distortions -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Pretreatment Process -- 3.2 Training Stage -- 3.3 Testing Stage.
4 Experiments.
Record Nr. UNINA-9910484354603321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Knowledge science, engineering and management : third international conference, ksem 2009, vienna, austria, november 25-27, 2009, proceedings / / edited by Dimitris Karagiannis, Zhi Jin
Knowledge science, engineering and management : third international conference, ksem 2009, vienna, austria, november 25-27, 2009, proceedings / / edited by Dimitris Karagiannis, Zhi Jin
Edizione [1st ed. 2009.]
Pubbl/distr/stampa Berlin, Germany ; ; New York, United States : , : Springer, , [2009]
Descrizione fisica 1 online resource (XII, 472 p.)
Disciplina 006.331
Collana Lecture notes in computer science. Lecture notes in artificial intelligence ;5914
Soggetto topico Knowledge acquisition (Expert systems)
Decision making - Data processing
Problem solving - Data processing
Knowledge management
ISBN 3-642-10488-6
Classificazione DAT 616f
DAT 620f
DAT 700f
DAT 703f
SS 4800
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Models in Knowledge Management -- Two Applications of Computer-Aided Theorem Discovery and Verification -- Knowware: The Third Star after Hardware and Software -- Required Knowledge for Delivering Services -- Mapping Relational Databases to the Semantic Web with Original Meaning -- Computing Knowledge-Based Semantic Similarity from the Web: An Application to the Biomedical Domain -- An Anytime Algorithm for Computing Inconsistency Measurement -- Forwarding Credible Information in Multi-agent Systems -- Convergence Analysis of Affinity Propagation -- Propagation of Random Perturbations under Fuzzy Algebraic Operators -- Two Approaches to Iterated Belief Contraction -- The Dual Spatial Connectives of Separation Logic -- Knowledge Engineering in Future Internet -- Developing Diagnostic DSSs Based on a Novel Data Collection Methodology -- Data Integration for Business Analytics: A Conceptual Approach -- New Labeling Strategy for Semi-supervised Document Categorization -- A Competitive Learning Approach to Instance Selection for Support Vector Machines -- Knowledge Discovery from Academic Search Engine -- Interactive Visualization in Knowledge Discovery for Academic Evaluation and Accreditation -- Aggregation Models for People Finding in Enterprise Corpora -- Debt Detection in Social Security by Adaptive Sequence Classification -- Ontology Based Opinion Mining for Movie Reviews -- Concept-Based, Personalized Web Information Gathering: A Survey -- The Online Market Observatory: A Domain Model Approach -- Data Driven Rank Ordering and Its Application to Financial Portfolio Construction -- Prioritizing Non-functional Concerns in MAMIE Methodology -- Verifying Software Requirements Based on Answer Set Programming -- Blending the Sketched Use Case Scenario with License Agreements Using Semantics -- A Comparative Analysis for Detecting Seismic Anomalies in Data Sequences of Outgoing Longwave Radiation -- On Optimization of Predictions in Ontology-Driven Situation Awareness -- On Undecidability of Cyclic Scheduling Problems -- Combination of Two KM Strategies by Web 2.0 -- Measuring KM Success and KM Service Quality with KnowMetrix – First Experiences from a Case Study in a Software Company -- Knowledge Creation Spaces: The Power of Project Teams -- Competence Management in Knowledge-Based Organisation: Case Study Based on Higher Education Organisation -- Knowledge Maturing Services: Supporting Knowledge Maturing in Organisational Environments -- How Much Well Does Organizational Knowledge Transfer Work with Domain and Rule Ontologies? -- Ontology Evaluation through Assessment of Inferred Statements: Study of a Prototypical Implementation of an Ontology Questionnaire for OWL DL Ontologies -- Knowledge-Based Process Modelling for Nuclear Inspection -- Two Dependency Modeling Approaches for Business Process Adaptation -- The IT-Socket: Model-Based Business and IT Alignment -- Identifying and Supporting Collaborative Architectures -- An Examination of Talent Management Concepts in Knowledge Intensive Settings -- A ‘Soft’ Approach to TLM Requirements Capture to Support Through-Life Management.
Record Nr. UNISA-996466314803316
Berlin, Germany ; ; New York, United States : , : Springer, , [2009]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Knowledge Science, Engineering and Management : Third International Conference, KSEM 2009, Vienna, Austria, November 25-27, 2009, Proceedings / / edited by Dimitris Karagiannis, Zhi Jin
Knowledge Science, Engineering and Management : Third International Conference, KSEM 2009, Vienna, Austria, November 25-27, 2009, Proceedings / / edited by Dimitris Karagiannis, Zhi Jin
Edizione [1st ed. 2009.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009
Descrizione fisica 1 online resource (XII, 472 p.)
Disciplina 006.331
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Data mining
Artificial intelligence
Information storage and retrieval systems
Application software
Database management
Pattern recognition systems
Data Mining and Knowledge Discovery
Artificial Intelligence
Information Storage and Retrieval
Computer and Information Systems Applications
Database Management
Automated Pattern Recognition
ISBN 3-642-10488-6
Classificazione DAT 616f
DAT 620f
DAT 700f
DAT 703f
SS 4800
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Models in Knowledge Management -- Two Applications of Computer-Aided Theorem Discovery and Verification -- Knowware: The Third Star after Hardware and Software -- Required Knowledge for Delivering Services -- Mapping Relational Databases to the Semantic Web with Original Meaning -- Computing Knowledge-Based Semantic Similarity from the Web: An Application to the Biomedical Domain -- An Anytime Algorithm for Computing Inconsistency Measurement -- Forwarding Credible Information in Multi-agent Systems -- Convergence Analysis of Affinity Propagation -- Propagation of Random Perturbations under Fuzzy Algebraic Operators -- Two Approaches to Iterated Belief Contraction -- The Dual Spatial Connectives of Separation Logic -- Knowledge Engineering in Future Internet -- Developing Diagnostic DSSs Based on a Novel Data Collection Methodology -- Data Integration for Business Analytics: A Conceptual Approach -- New Labeling Strategy for Semi-supervised Document Categorization -- A Competitive Learning Approach to Instance Selection for Support Vector Machines -- Knowledge Discovery from Academic Search Engine -- Interactive Visualization in Knowledge Discovery for Academic Evaluation and Accreditation -- Aggregation Models for People Finding in Enterprise Corpora -- Debt Detection in Social Security by Adaptive Sequence Classification -- Ontology Based Opinion Mining for Movie Reviews -- Concept-Based, Personalized Web Information Gathering: A Survey -- The Online Market Observatory: A Domain Model Approach -- Data Driven Rank Ordering and Its Application to Financial Portfolio Construction -- Prioritizing Non-functional Concerns in MAMIE Methodology -- Verifying Software Requirements Based on Answer Set Programming -- Blending the Sketched Use Case Scenario with License Agreements Using Semantics -- A Comparative Analysis for Detecting Seismic Anomalies in Data Sequences of Outgoing Longwave Radiation -- On Optimization of Predictions in Ontology-Driven Situation Awareness -- On Undecidability of Cyclic Scheduling Problems -- Combination of Two KM Strategies by Web 2.0 -- Measuring KM Success and KM Service Quality with KnowMetrix – First Experiences from a Case Study in a Software Company -- Knowledge Creation Spaces: The Power of Project Teams -- Competence Management in Knowledge-Based Organisation: Case Study Based on Higher Education Organisation -- Knowledge Maturing Services: Supporting Knowledge Maturing in Organisational Environments -- How Much Well Does Organizational Knowledge Transfer Work with Domain and Rule Ontologies? -- Ontology Evaluation through Assessment of Inferred Statements: Study of a Prototypical Implementation of an Ontology Questionnaire for OWL DL Ontologies -- Knowledge-Based Process Modelling for Nuclear Inspection -- Two Dependency Modeling Approaches for Business Process Adaptation -- The IT-Socket: Model-Based Business and IT Alignment -- Identifying and Supporting Collaborative Architectures -- An Examination of Talent Management Concepts in Knowledge Intensive Settings -- A ‘Soft’ Approach to TLM Requirements Capture to Support Through-Life Management.
Record Nr. UNINA-9910739410203321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Principles of Practice in Multi-Agent Systems [[electronic resource] ] : 12th International Conference, PRIMA 2009, Nagoya, Japan, December 14-16, 2009, Proceedings / / edited by Jung-Jin Yang, Makoto Yokoo, Takayuki Ito, Zhi Jin, Paul Scerri
Principles of Practice in Multi-Agent Systems [[electronic resource] ] : 12th International Conference, PRIMA 2009, Nagoya, Japan, December 14-16, 2009, Proceedings / / edited by Jung-Jin Yang, Makoto Yokoo, Takayuki Ito, Zhi Jin, Paul Scerri
Edizione [1st ed. 2009.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009
Descrizione fisica 1 online resource (XV, 658 p.)
Disciplina 004
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
User interfaces (Computer systems)
Software engineering
Computer organization
Computer simulation
Artificial Intelligence
User Interfaces and Human Computer Interaction
Software Engineering/Programming and Operating Systems
Computer Systems Organization and Communication Networks
Simulation and Modeling
Software Engineering
Soggetto genere / forma Kongress.
Nagoya (2009)
ISBN 1-280-38341-0
9786613561336
3-642-11161-0
Classificazione DAT 709f
SS 4800
54.72
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Technical Papers -- A Market-Based Multi-Issue Negotiation Model Considering Multiple Preferences in Dynamic E-Marketplaces -- Designing Protocols for Collaborative Translation -- An Affective Agent Playing Tic-Tac-Toe as Part of a Healing Environment -- A Multi-agent Model for Emotion Contagion Spirals Integrated within a Supporting Ambient Agent Model -- Statistical Utterance Selection Using Word Co-occurrence for a Dialogue Agent -- On the Impact of Witness-Based Collusion in Agent Societies -- Efficient Methods for Multi-agent Multi-issue Negotiation: Allocating Resources -- Token Based Resource Sharing in Heterogeneous Multi-agent Teams -- Gaia Agents Implementation through Models Transformation -- ONTOMO: Development of Ontology Building Service -- Syncretic Argumentation by Means of Lattice Homomorphism -- Adaptive Adjustment of Starting Price for Agents in Continuous Double Auctions -- SIM-MADARP: An Agent-Based Tool for Dial-a-Ride Simulation -- An Empirical Study of Agent Programs -- A Multiagent Model for Provider-Centered Trust in Composite Web Services -- Memory Complexity of Automated Trust Negotiation Strategies -- Layered Distributed Constraint Optimization Problem for Resource Allocation Problem in Distributed Sensor Networks -- NegoExplorer: A Region-Based Recursive Approach to Bilateral Multi-attribute Negotiation -- Applying User Feedback and Query Learning Methods to Multiple Communities -- An Adaptive Human-Aware Software Agent Supporting Attention-Demanding Tasks -- Designing a Two-Sided Matching Protocol under Asymmetric Information -- Emotion Detection from Body Motion of Human Form Robot Based on Laban Movement Analysis -- HoneySpam 2.0: Profiling Web Spambot Behaviour -- Multimedia Papers -- A Modeling Tool for Service-Oriented Open Multiagent Systems -- Analysis, Comparison and Selection of MAS Software Engineering Processes and Tools -- A Synchronous Model of Mental Rhythm Using Paralanguage for Communication Robots -- Generating Association-Based Motion through Human-Robot Interaction -- SmartContractor: A Distributed Task Assignment System Based on the Simple Contract Net Protocol -- Participatory Simulation Environment gumonji/Q: A Network Game Empowered by Agents -- Industrial Papers -- A Multi-Agent System Based Approach to Intelligent Process Automation Systems -- Non-equity Joints among Small and Medium Enterprises and Innovation Management: An Empirical Analysis Based on Simulation -- Wide-Area Traffic Simulation Based on Driving Behavior Model -- An Agent-Based Framework for Healthcare Support System -- Interpolation System of Traffic Condition by Estimation/Learning Agents -- Poster Papers -- A Fuzzy Rule-Based System for Ontology Mapping -- Where Are All the Agents? On the Gap between Theory and Practice of Agent-Based Referral Networks -- SADE: A Development Environment for Adaptive Multi-Agent Systems -- Recursive Adaptation of Stepsize Parameter for Non-stationary Environments -- Mechanism Design Simulation for Healthcare Reform in China -- Case Learning in CBR-Based Agent Systems for Ship Collision Avoidance -- An Adaptive Agent Model for Emotion Reading by Mirroring Body States and Hebbian Learning -- Agent Evacuation Simulation Using a Hybrid Network and Free Space Models -- Designing Agent Behaviour in Agent-Based Simulation through Participatory Method -- Influence of Social Networks on Recovering Large Scale Distributed Systems -- Dynamic Evolution of Role Taxonomies through Multidimensional Clustering in Multiagent Organizations -- Adaptation and Validation of an Agent Model of Functional State and Performance for Individuals -- A Cooperation Trading Method with Hybrid Traders -- GPGCloud: Model Sharing and Execution Environment Service for Simulation of International Politics and Economics -- Creating and Using Reputation-Based Agreements in Organisational Environments -- Directory Service in the Language Grid for System Integration -- SBDO: A New Robust Approach to Dynamic Distributed Constraint Optimisation -- Evacuation Planning Assist System with Network Model-Based Pedestrian Simulator.
Record Nr. UNISA-996465896103316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui