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Database and Expert Systems Applications : 35th International Conference, DEXA 2024, Naples, Italy, August 26–28, 2024, Proceedings, Part II / / edited by Christine Strauss, Toshiyuki Amagasa, Giuseppe Manco, Gabriele Kotsis, A Min Tjoa, Ismail Khalil
| Database and Expert Systems Applications : 35th International Conference, DEXA 2024, Naples, Italy, August 26–28, 2024, Proceedings, Part II / / edited by Christine Strauss, Toshiyuki Amagasa, Giuseppe Manco, Gabriele Kotsis, A Min Tjoa, Ismail Khalil |
| Autore | Strauss Christine |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (337 pages) |
| Disciplina | 005.74 |
| Altri autori (Persone) |
AmagasaToshiyuki
MancoGiuseppe KotsisGabriele TjoaA. Min KhalilIsmail |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Database management
Artificial intelligence Information technology - Management Software engineering Information storage and retrieval systems Data mining Database Management Artificial Intelligence Computer Application in Administrative Data Processing Software Engineering Information Storage and Retrieval Data Mining and Knowledge Discovery |
| ISBN |
9783031683121
9783031683114 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910881087703321 |
Strauss Christine
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Database and Expert Systems Applications : 35th International Conference, DEXA 2024, Naples, Italy, August 26–28, 2024, Proceedings, Part I / / edited by Christine Strauss, Toshiyuki Amagasa, Giuseppe Manco, Gabriele Kotsis, A Min Tjoa, Ismail Khalil
| Database and Expert Systems Applications : 35th International Conference, DEXA 2024, Naples, Italy, August 26–28, 2024, Proceedings, Part I / / edited by Christine Strauss, Toshiyuki Amagasa, Giuseppe Manco, Gabriele Kotsis, A Min Tjoa, Ismail Khalil |
| Autore | Strauss Christine |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (289 pages) |
| Disciplina | 005.74 |
| Altri autori (Persone) |
AmagasaToshiyuki
MancoGiuseppe KotsisGabriele TjoaA. Min KhalilIsmail |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Database management
Artificial intelligence Information technology - Management Software engineering Information storage and retrieval systems Data mining Database Management Artificial Intelligence Computer Application in Administrative Data Processing Software Engineering Information Storage and Retrieval Data Mining and Knowledge Discovery |
| ISBN |
9783031683091
9783031683084 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Abstracts of Keynote Talks -- Multimodal Deep Learning in Medical Imaging -- Digital Humanism as an Enabler for a Holistic Socio-Technical Approach to the Latest Developments in Computer Science and Artificial Intelligence -- Deep Entity Processing in the Era of Large Language Models: Challenges and Opportunities -- Contents - Part I -- Contents - Part II -- Financial and Economic Data Analysis -- CSPRD: A Financial Policy Retrieval Dataset for Chinese Stock Market -- 1 Introduction -- 2 Related Work -- 2.1 Retrieval Augmented Generation -- 2.2 Dense Retrievers -- 2.3 Specialised Financial Datasets -- 3 The Policy Retrieval Dataset for Stock Market in China -- 3.1 Data Collection -- 3.2 Data Processing -- 3.3 Unsupervised MoE Selection -- 3.4 Expert Annotation -- 3.5 Dataset Release -- 4 CSPR-MQA Pre-training -- 4.1 Data Preprocessing -- 4.2 Encoding -- 4.3 Decoding -- 5 Experiments -- 5.1 Models -- 5.2 Evaluation Metrics -- 5.3 Results and Analysis -- 6 Limitations -- 6.1 Compromise Between Labor Costs and Decision Comprehensiveness -- 6.2 Limited Experiments on Pre-Trained Language Models -- 7 Conclusion -- References -- Leveraging Heterogeneous Text Data for Reinforcement Learning-Based Stock Trading Strategies -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Terms -- 3.2 Problem Definition -- 3.3 Base Model -- 4 Proposed Method -- 4.1 Encording -- 4.2 Feature Generation -- 4.3 Action Determination -- 5 Experiment -- 5.1 Datasets -- 5.2 Experimental Setup -- 5.3 Experimental Results -- 5.4 Comparison with Index-Based Method -- 5.5 Effects of Periods and Initial Assets -- 6 Conclusion -- References -- TCMIDP: A Comprehensive Database of Traditional Chinese Medicine for Network Pharmacology Research -- 1 Introduction -- 2 Database Contents and Access -- 3 Data Mining -- 4 User Evaluation.
5 Conclusion -- References -- Graph Theory and Network Analysis -- Fast Subgraph Search with Graph Code Indices -- 1 Introduction -- 2 Preliminaries -- 3 Related Work -- 4 Basic Concept of the Proposed Method -- 5 Graph Representation and Indexing of Databases -- 6 Subgraph Search with the Code Tree -- 7 Experimental Evaluation -- 7.1 Experimental Settings -- 7.2 Experimental Results -- 8 Conclusion -- References -- Completing Predicates Based on Alignment Rules from Knowledge Graphs -- 1 Introduction -- 2 Motivating Example -- 3 The SYRUP Approach -- 4 Experimental Study -- 5 Related Work -- 6 Conclusions and Future Work -- References -- Enriching Hierarchical Navigable Small World Searches with Result Diversification -- 1 Introduction -- 2 Preliminaries and Related Work -- 3 Material and Methods -- 4 Empirical Evaluation -- 5 Conclusions -- References -- An Efficient Indexing Method for Dynamic Graph kNN -- 1 Introduction -- 1.1 Existing Approaches and Challenges -- 1.2 Our Approaches and Contributions -- 2 Preliminary -- 2.1 Problem Definition -- 2.2 Previous Method: CT Index -- 3 Proposed Method: Dynamic CT -- 3.1 Ideas -- 3.2 Adding Nodes and Edges -- 3.3 Removing Nodes and Edges -- 3.4 Complexity Analysis -- 4 Experimental Evaluation -- 4.1 Efficiency for Updating -- 4.2 Efficiency for Adding/Removing Edges -- 5 Conclusion -- References -- Database Management and Query Optimization -- Improving the Accuracy of Text-to-SQL Tools Based on Large Language Models for Real-World Relational Databases -- 1 Introduction -- 2 Related Work -- 3 A Real-World Benchmark for the Text-to-SQL Task -- 3.1 The Real-World Relational Database -- 3.2 The Sets of Views -- 3.3 The Test Questions and Their Ground Truth SQL Translations -- 4 The Proposed RAG-Based Technique -- 4.1 Generation of the Synthetic Dataset -- 4.2 The Proposed RAG-Based Techniques. 5 Experiments with an RW-RDB -- 5.1 Experimental Setup -- 5.2 Results -- 6 Experiments with Mondial -- 7 Conclusions -- References -- QPSEncoder: A Database Workload Encoder with Deep Learning -- 1 Introduction -- 2 Related Work -- 3 QPSEncoder Framework -- 3.1 Physical Plan Encoding -- 3.2 SQL Query Encoding -- 3.3 Database Schema Encoding -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Effectiveness of QPSEncoder on Numeric Predicates. -- 4.3 Effectiveness of QPSEncoder on Mixed Predicates. -- 4.4 Effectiveness of Model Components -- 5 Conclusion -- References -- Efficient Random Sampling from Very Large Databases -- 1 Introduction -- 2 Related Work -- 3 The Proposed Algorithms -- 3.1 Random Sampling in B+Tree of Height Three -- 3.2 Random Sampling in B+Tree of Height Four -- 3.3 Generalization to Any B+Tree Height -- 4 Analysis -- 5 Simulation Study -- 5.1 Experiments Framework -- 5.2 Experiments Setup -- 5.3 Implementation Details -- 5.4 Results -- 6 Summary and Future Work -- References -- SQL-to-Schema Enhances Schema Linking in Text-to-SQL -- 1 Introduction -- 2 Related Work -- 2.1 Customized Machine Learning Fine-Tuned Methods -- 2.2 Stimulating General LLM with Prompting -- 3 Methodology -- 3.1 Evaluation Metrics -- 3.2 Introduction to Each Module -- 4 Experiments and Analysis -- 4.1 Experiment One -- 4.2 Experiment Two -- 4.3 Experiment Three -- 5 Conclusion -- References -- Efficient Algorithms for Top-k Stabbing Queries on Weighted Interval Data -- 1 Introduction -- 2 Preliminary -- 3 Algorithm Based on Interval Forest -- 3.1 Data Structure and Construction -- 3.2 Query Processing Algorithm -- 4 Algorithm Based on a Variant of Segment Tree -- 4.1 Variant of Segment Tree and Its Construction -- 4.2 Query Processing Algorithm -- 5 Conclusion -- References -- A Hierarchical Storage Mechanism for Hot and Cold Data Based on Temperature Model. 1 Introduction -- 2 Related Work -- 3 System Architecture -- 3.1 Data Temperature Model -- 3.2 Data Hierarchical Storage Mechanism -- 4 Experimentation and Analysis -- 4.1 Experimental Environment and Configuration -- 4.2 Experiment on Local Hot and Cold Data Migration Management -- 4.3 Experiment on Local and Remote Data Migration Management -- 5 Conclusion -- References -- Machine Learning and Large Language Models -- A Pre-trained Knowledge Tracing Model with Limited Data -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Transformer-Based Knowledge Tracing Model -- 3.2 BERT-Based Knowledge Tracing Model -- 4 Experiments -- 4.1 Datasets -- 4.2 Experimental Setup -- 4.3 Experiment Results and Analysis -- 5 Conclusions and Future Work -- References -- Chorus: More Efficient Machine Learning on Serverless Platform -- 1 Introduction -- 2 Background and Motivation -- 3 Lambda Synchronous Parallel (LSP) Model -- 4 Buffering in Parameter Server Model -- 5 Design of Chorus -- 5.1 Architecture Overview -- 6 Evaluation -- 6.1 Methodology -- 6.2 Lambda Synchronous Parallel (LSP) Model -- 6.3 Buffering System -- 6.4 Comparison -- 7 Conclusion -- References -- Evaluating Performance of LLaMA2 Large Language Model Enhanced by QLoRA Fine-Tuning for English Grammatical Error Correction -- 1 Introduction -- 2 Related Work -- 2.1 Grammar Error Correction -- 2.2 LLaMA2 Large Language Model -- 3 Methodology -- 3.1 Data Preparation -- 3.2 Prompts and Learning Strategies -- 3.3 Parameter Efficient Fine-Tuning via QLoRA -- 4 Experiments -- 4.1 Text Generation Settings -- 4.2 Parameter Settings of Training -- 4.3 Experimental Results -- 4.4 Error Type Analysis -- 4.5 Performance Evaluation of Open Source Language Tools -- 5 Conclusion -- References -- A Label Embedding Algorithm Based on Maximizing Normalized Cross-Covariance Operator -- 1 Introduction. 2 Preliminaries -- 3 The Proposed Method -- 4 Experiments -- 4.1 Benchmark Data Sets and Evaluation Metrics -- 4.2 Compared Methods and Experimental Settings -- 4.3 Performance Evaluation and Analysis -- 5 Conclusion -- References -- Analyzing the Efficacy of Large Language Models: A Comparative Study -- 1 Introduction -- 2 Literature Review -- 3 Datasets and Preprocessing -- 3.1 Dataset Construction by Question-Answer Pair Generation -- 3.2 Fine-Tuning the LLM -- 3.3 Document Parsing and Text Comprehension -- 4 Methodology -- 4.1 Integrated Evaluation: BLEU, ROUGE, and Cosine Similarity -- 4.2 Accuracy Assessment Through Z-Score Outlier Detection -- 5 Observations and Results -- 5.1 Classification of Errors -- 5.2 Comparison of Performance of Our Framework -- 6 Conclusion and Future Directions -- References -- Leveraging Large Language Models for Flexible and Robust Table-to-Text Generation -- 1 Introduction -- 2 Related Work -- 3 Methods and Experiment Settings -- 4 Experiments Results -- 5 Conclusion -- References -- Recommender Systems and Personalization -- Collaborative Filtering for the Imputation of Patient Reported Outcomes -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 MDASI-HN Data -- 3.2 Collaborative Filtering (CF) for MDASI-HN -- 4 Evaluation -- 4.1 Evaluation Metrics: -- 5 Experimental Results -- 5.1 Experimental Setup -- 5.2 Data Statistics -- 5.3 CF Techniques Comparison -- 5.4 Effect of k on CF-SYM-PCC Imputation -- 5.5 Comparing CF-SYM-PCC Against Other Methods -- 5.6 Comparing CF-SYM-PCC and LI Techniques Per Symptom -- 5.7 PCC Correlation Symptom Clusters -- 6 Conclusion -- References -- Category-Aware Sequential Recommendation with Time Intervals of Purchases -- 1 Introduction -- 2 Method -- 2.1 Problem Setup -- 2.2 Category and Time Interval Aware Sequence Recommendation -- 2.3 Framework of the Dual Model. 3 Performance Evaluation. |
| Record Nr. | UNINA-9910881098903321 |
|
Strauss Christine
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Database and Expert Systems Applications [[electronic resource] ] : 34th International Conference, DEXA 2023, Penang, Malaysia, August 28–30, 2023, Proceedings, Part I / / edited by Christine Strauss, Toshiyuki Amagasa, Gabriele Kotsis, A Min Tjoa, Ismail Khalil
| Database and Expert Systems Applications [[electronic resource] ] : 34th International Conference, DEXA 2023, Penang, Malaysia, August 28–30, 2023, Proceedings, Part I / / edited by Christine Strauss, Toshiyuki Amagasa, Gabriele Kotsis, A Min Tjoa, Ismail Khalil |
| Autore | Strauss Christine |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (561 pages) |
| Disciplina | 005.74 |
| Altri autori (Persone) |
AmagasaToshiyuki
KotsisGabriele TjoaA. Min KhalilIsmail |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Database management
Artificial intelligence Application software Software engineering Information storage and retrieval systems Data mining Database Management Artificial Intelligence Computer and Information Systems Applications Software Engineering Information Storage and Retrieval Data Mining and Knowledge Discovery |
| ISBN | 3-031-39847-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Paper -- Data integration revitalized: from Data Warehouse through Data Lake to Data Mesh -- Data Modeling -- Scalable Summarization for Knowledge Graphs with Controlled Utility Loss -- Commonsense-aware Attentive Modeling for Humor Recognition -- A study on Vulnerability Code Labeling Method in Open-Source C Programs -- Adding result diversification to kNN-based joins in a Map-Reduce framework -- Effective and Efficient Heuristic Algorithms for Supporting Optimal Location of Hubs over Networks with Demand Uncertainty -- DMIS: Dual Model Index Structure for Enhanced Performance on Complexly Distributed Datasets -- Streaming Data Analytics for Feature Importance Measures in Concept Drift Detection and Adaptation -- An approach for efficient processing of machine operational data -- PrivSketch: A Private Sketch-based Frequency Estimation Protocol for Data Streams -- On tuning the sorted neighborhood method for record comparisons in a data deduplicaton pipeline -- Managing Semantic Evolutions in Semi-Structured Data -- Co-location pattern mining under the spatial structure constraint -- Database Design -- Enhancing Online Index Tuning with a Learned Tuning Diagnostic -- NoGar: A non-cooperative game for thread pinning in array databases -- LHKV: A Key-Value Data Collection Mechanism under Local Differential Privacy -- Investigating Lakehouse-Backbones for Vehicle Sensor Data -- Assessing the Effectiveness of Intrinsic Dimension Estimators for Uncovering the Phase Space Dimensionality of Dynamical Systems from State Observations - A Comparative Analysis -- Towards a Workload Mapping Model for Tuning Backing Services in Cloud Systems -- Compliance and Data Lifecycle Management in Databases and Backups -- A Real-time Parallel Information Processing Method for Signal Sorting -- Learning Optimal Tree-based Index Placement for Autonomous Database -- Social Links Enhanced Microblog Sentiment Analysis: Integrating Link Predic-tion and Sentiment Connection Weights -- Discovering Diverse Information Considering User Acceptability -- Confidential Truth Finding with Multi-Party Computation -- A Key-Value Based Approach to Scalable Graph Database -- Bitwise Algorithms to Compute the Transitive Closure of Graphs in Python -- Discovering Top-K Partial Periodic Patterns in Big Temporal Databases -- Query Optimization -- Dexteris: Data Exploration and Transformation with a Guided Query Builder Approach -- A Neighborhood Encoding for Subgraph Queries in Graph Databases -- MIRS: [MASK] Insertion based Retrieval Stabilizer for Query Variations -- Parallel Pattern Enumeration in Large Graphs -- S2CTrans: Building a Bridge from SPARQL to Cypher -- Rewriting Graph-DB Queries to Enforce Attribute-based Access Control -- A Polystore Querying System applied to heterogeneous and horizontally distrib-uted data -- Knowledge Representation. -Semantically Constitutive Entities in Knowledge Graphs -- KBQA: Accelerate Fuzzy Path Query on Knowledge Graph -- Tour Route Generation Considering Spot Congestion -- A Knowledge-based Approach to Business Process Analysis: from Informal to Formal -- Evaluating Prompt-based Question Answering for Object Prediction in the Open Research Knowledge Graph -- Variables are a Curse in Software Vulnerability Prediction -- Feature Selection for Aero-Engine Fault Detection -- Tracking Clusters of Links in Dynamic Social Networks -- Mind In Action: Cognitive Assessment using Action Recognition. -- Data integration revitalized: from Data Warehouse through Data Lake to Data Mesh -- Data Modeling -- Scalable Summarization for Knowledge Graphs with Controlled Utility Loss -- Commonsense-aware Attentive Modeling for Humor Recognition -- A study on Vulnerability Code Labeling Method in Open-Source C Programs -- Adding result diversification to kNN-based joins in a Map-Reduce framework -- Effective and Efficient Heuristic Algorithms for Supporting Optimal Location of Hubs over Networks with Demand Uncertainty -- DMIS: Dual Model Index Structure for Enhanced Performance on Complexly Distributed Datasets -- Streaming Data Analytics for Feature Importance Measures in Concept Drift Detection and Adaptation -- An approach for efficient processing of machine operational data -- PrivSketch: A Private Sketch-based Frequency Estimation Protocol for Data Streams -- On tuning the sorted neighborhood method for record comparisons in a data deduplicaton pipeline -- Managing Semantic Evolutions in Semi-Structured Data -- Co-location pattern mining under the spatial structure constraint -- Database Design -- Enhancing Online Index Tuning with a Learned Tuning Diagnostic -- NoGar: A non-cooperative game for thread pinning in array databases -- LHKV: A Key-Value Data Collection Mechanism under Local Differential Privacy -- Investigating Lakehouse-Backbones for Vehicle Sensor Data -- Assessing the Effectiveness of Intrinsic Dimension Estimators for Uncovering the Phase Space Dimensionality of Dynamical Systems from State Observations - A Comparative Analysis -- Towards a Workload Mapping Model for Tuning Backing Services in Cloud Systems -- Compliance and Data Lifecycle Management in Databases and Backups -- A Real-time Parallel Information Processing Method for Signal Sorting -- Learning Optimal Tree-based Index Placement for Autonomous Database -- Social Links Enhanced Microblog Sentiment Analysis: Integrating Link Predic-tion and Sentiment Connection Weights -- Discovering Diverse Information Considering User Acceptability -- Confidential Truth Finding with Multi-Party Computation -- A Key-Value Based Approach to Scalable Graph Database -- Bitwise Algorithms to Compute the Transitive Closure of Graphs in Python -- Discovering Top-K Partial Periodic Patterns in Big Temporal Databases -- Query Optimization -- Dexteris: Data Exploration and Transformation with a Guided Query Builder Approach -- A Neighborhood Encoding for Subgraph Queries in Graph Databases -- MIRS: [MASK] Insertion based Retrieval Stabilizer for Query Variations -- Parallel Pattern Enumeration in Large Graphs -- S2CTrans: Building a Bridge from SPARQL to Cypher -- Rewriting Graph-DB Queries to Enforce Attribute-based Access Control -- A Polystore Querying System applied to heterogeneous and horizontally distrib-uted data -- Knowledge Representation. -Semantically Constitutive Entities in Knowledge Graphs -- KBQA: Accelerate Fuzzy Path Query on Knowledge Graph -- Tour Route Generation Considering Spot Congestion -- A Knowledge-based Approach to Business Process Analysis: from Informal to Formal -- Evaluating Prompt-based Question Answering for Object Prediction in the Open Research Knowledge Graph -- Variables are a Curse in Software Vulnerability Prediction -- Feature Selection for Aero-Engine Fault Detection -- Tracking Clusters of Links in Dynamic Social Networks -- Mind In Action: Cognitive Assessment using Action Recognition. |
| Record Nr. | UNISA-996546852603316 |
|
Strauss Christine
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Database and Expert Systems Applications [[electronic resource] ] : 34th International Conference, DEXA 2023, Penang, Malaysia, August 28–30, 2023, Proceedings, Part II / / edited by Christine Strauss, Toshiyuki Amagasa, Gabriele Kotsis, A Min Tjoa, Ismail Khalil
| Database and Expert Systems Applications [[electronic resource] ] : 34th International Conference, DEXA 2023, Penang, Malaysia, August 28–30, 2023, Proceedings, Part II / / edited by Christine Strauss, Toshiyuki Amagasa, Gabriele Kotsis, A Min Tjoa, Ismail Khalil |
| Autore | Strauss Christine |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (497 pages) |
| Disciplina | 005.7 |
| Altri autori (Persone) |
AmagasaToshiyuki
KotsisGabriele TjoaA. Min KhalilIsmail |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Database management
Artificial intelligence Application software Software engineering Information storage and retrieval systems Data mining Database Management System Artificial Intelligence Computer and Information Systems Applications Software Engineering Information Storage and Retrieval Data Mining and Knowledge Discovery |
| ISBN | 3-031-39821-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Rule-Based Systems -- RD-Classifier: Reduced Dimensionality Classifier for Alzheimer‘s Diagnosis Sup-port System -- User Interactions-aware Knowledge Graphs for Recommender Systems -- How Does the System Perceive Me? --- A Transparent and Tunable Recommender System -- MERIHARI-Area Tour Planning by Considering Regional Characteristics. -Financial Argument Quality Assessment in Earnings Conference Calls -- Explaining Decisions of Black-box Models using BARBE -- Efficient Video Captioning with Frame Similarity-based Filtering -- Trace-based Anomaly Detection with Contextual Sequential Invocations -- Fusing Fine-grained Information of Sequential News for Personalized News Recommendation -- A Finite- Domain Constraint-based Approach on the Stockyard Planning Problem -- Data Analytics Framework for Smart Waste Management Optimisation: A Key to Sustainable Future for Councils and Communities -- Natural Language Processing -- Hierarchy-aware Bilateral-Branch Network for Imbalanced Hierarchical Text Classification -- Multi-Feature and Multi-Channel GCNs for Aspect Based Sentiment Analysis -- Knowledge Injection for Aspect-Based Sentiment Classification -- Towards Ensemble-based Imbalanced Text Classification using Metric Learning -- Target and Precursor named entities recognition from scientific texts of high-temperature steel using deep neural network -- Enabling PII Discovery in Textual Data via Outlier Detection. -Deep Learning -- An Efficient Embedding Framework for Uncertain Attribute Graph -- Double-layer Attention for Long Sequence Time-Series Forecasting -- Multi-core Adaptive Merging of the Secondary Index for LSM-based Stores -- CAGAIN: Column Attention Generative Adversarial Imputation Networks -- CF-SAFF: Collaborative Filtering based on Self-Attention Mechanism and Feature Fusion -- Except-Condition Generative Adversarial Network for Generating Trajectory Data. - Next POIs Prediction for Group Recommendations: Influence-based Deep Learning Model. - Interpreting Deep Text Quantification Models -- NExtGCN: Modeling Node Importance of Graph Convolution Network by Neighbor Excitation for Recommendation -- Dual Congestion-aware Route Planning for Tourists by Multi-agent Reinforcement Learning -- Subspace Clustering Technique Using Multi-Objective Functions for Multi-class Categorical Data -- Neural Networks -- Multi-task Graph Neural Network for Optimizing the Structure Fairness -- Few-Shot Multi-Label Aspect Category Detection Utilizing Prototypical Network with Sentence-Level Weighting and Label Augmentation -- Toward Healthy Aging: Temporal Regression for Disability Prediction and Warning Decision-Making -- A Label Embedding Method via Conditional Covariance Maximization for Mul-ti-label Classification -- Integrally Private Model Selection for Deep Neural Networks -- Gaussian Process Component Mining with the Apriori Algorithm -- Learnable Filter Components For Social Recommendation -- Efficient Machine Learning-Based Prediction of CYP450 Inhibition -- A Machine-Learning Framework for Supporting Content Recommendation via User Feedback Data and Content Profiles in Content Managements Systems -- Fine-tuning Pre-Trained Model for Consumer Fraud Detection from Consumer Reviews -- Deep Multi-Interaction Hidden Interest Evolution Network for Click-through Rate Prediction -- Temporal Semantic Attention Network for Aspect-Based Sentiment Analysis -- Celestial Machine Learning from Data to Mars and Beyond with AI Feynman. |
| Record Nr. | UNISA-996546852903316 |
|
Strauss Christine
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Database and Expert Systems Applications [[electronic resource] ] : 34th International Conference, DEXA 2023, Penang, Malaysia, August 28–30, 2023, Proceedings, Part II / / edited by Christine Strauss, Toshiyuki Amagasa, Gabriele Kotsis, A Min Tjoa, Ismail Khalil
| Database and Expert Systems Applications [[electronic resource] ] : 34th International Conference, DEXA 2023, Penang, Malaysia, August 28–30, 2023, Proceedings, Part II / / edited by Christine Strauss, Toshiyuki Amagasa, Gabriele Kotsis, A Min Tjoa, Ismail Khalil |
| Autore | Strauss Christine |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (497 pages) |
| Disciplina | 005.7 |
| Altri autori (Persone) |
AmagasaToshiyuki
KotsisGabriele TjoaA. Min KhalilIsmail |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Database management
Artificial intelligence Application software Software engineering Information storage and retrieval systems Data mining Database Management System Artificial Intelligence Computer and Information Systems Applications Software Engineering Information Storage and Retrieval Data Mining and Knowledge Discovery |
| ISBN | 3-031-39821-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Rule-Based Systems -- RD-Classifier: Reduced Dimensionality Classifier for Alzheimer‘s Diagnosis Sup-port System -- User Interactions-aware Knowledge Graphs for Recommender Systems -- How Does the System Perceive Me? --- A Transparent and Tunable Recommender System -- MERIHARI-Area Tour Planning by Considering Regional Characteristics. -Financial Argument Quality Assessment in Earnings Conference Calls -- Explaining Decisions of Black-box Models using BARBE -- Efficient Video Captioning with Frame Similarity-based Filtering -- Trace-based Anomaly Detection with Contextual Sequential Invocations -- Fusing Fine-grained Information of Sequential News for Personalized News Recommendation -- A Finite- Domain Constraint-based Approach on the Stockyard Planning Problem -- Data Analytics Framework for Smart Waste Management Optimisation: A Key to Sustainable Future for Councils and Communities -- Natural Language Processing -- Hierarchy-aware Bilateral-Branch Network for Imbalanced Hierarchical Text Classification -- Multi-Feature and Multi-Channel GCNs for Aspect Based Sentiment Analysis -- Knowledge Injection for Aspect-Based Sentiment Classification -- Towards Ensemble-based Imbalanced Text Classification using Metric Learning -- Target and Precursor named entities recognition from scientific texts of high-temperature steel using deep neural network -- Enabling PII Discovery in Textual Data via Outlier Detection. -Deep Learning -- An Efficient Embedding Framework for Uncertain Attribute Graph -- Double-layer Attention for Long Sequence Time-Series Forecasting -- Multi-core Adaptive Merging of the Secondary Index for LSM-based Stores -- CAGAIN: Column Attention Generative Adversarial Imputation Networks -- CF-SAFF: Collaborative Filtering based on Self-Attention Mechanism and Feature Fusion -- Except-Condition Generative Adversarial Network for Generating Trajectory Data. - Next POIs Prediction for Group Recommendations: Influence-based Deep Learning Model. - Interpreting Deep Text Quantification Models -- NExtGCN: Modeling Node Importance of Graph Convolution Network by Neighbor Excitation for Recommendation -- Dual Congestion-aware Route Planning for Tourists by Multi-agent Reinforcement Learning -- Subspace Clustering Technique Using Multi-Objective Functions for Multi-class Categorical Data -- Neural Networks -- Multi-task Graph Neural Network for Optimizing the Structure Fairness -- Few-Shot Multi-Label Aspect Category Detection Utilizing Prototypical Network with Sentence-Level Weighting and Label Augmentation -- Toward Healthy Aging: Temporal Regression for Disability Prediction and Warning Decision-Making -- A Label Embedding Method via Conditional Covariance Maximization for Mul-ti-label Classification -- Integrally Private Model Selection for Deep Neural Networks -- Gaussian Process Component Mining with the Apriori Algorithm -- Learnable Filter Components For Social Recommendation -- Efficient Machine Learning-Based Prediction of CYP450 Inhibition -- A Machine-Learning Framework for Supporting Content Recommendation via User Feedback Data and Content Profiles in Content Managements Systems -- Fine-tuning Pre-Trained Model for Consumer Fraud Detection from Consumer Reviews -- Deep Multi-Interaction Hidden Interest Evolution Network for Click-through Rate Prediction -- Temporal Semantic Attention Network for Aspect-Based Sentiment Analysis -- Celestial Machine Learning from Data to Mars and Beyond with AI Feynman. |
| Record Nr. | UNINA-9910741153303321 |
|
Strauss Christine
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Database and Expert Systems Applications : 34th International Conference, DEXA 2023, Penang, Malaysia, August 28–30, 2023, Proceedings, Part I / / edited by Christine Strauss, Toshiyuki Amagasa, Gabriele Kotsis, A Min Tjoa, Ismail Khalil
| Database and Expert Systems Applications : 34th International Conference, DEXA 2023, Penang, Malaysia, August 28–30, 2023, Proceedings, Part I / / edited by Christine Strauss, Toshiyuki Amagasa, Gabriele Kotsis, A Min Tjoa, Ismail Khalil |
| Autore | Strauss Christine |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (561 pages) |
| Disciplina | 005.74 |
| Altri autori (Persone) |
AmagasaToshiyuki
KotsisGabriele TjoaA. Min KhalilIsmail |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Database management
Artificial intelligence Application software Software engineering Information storage and retrieval systems Data mining Database Management Artificial Intelligence Computer and Information Systems Applications Software Engineering Information Storage and Retrieval Data Mining and Knowledge Discovery |
| ISBN | 3-031-39847-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Paper -- Data integration revitalized: from Data Warehouse through Data Lake to Data Mesh -- Data Modeling -- Scalable Summarization for Knowledge Graphs with Controlled Utility Loss -- Commonsense-aware Attentive Modeling for Humor Recognition -- A study on Vulnerability Code Labeling Method in Open-Source C Programs -- Adding result diversification to kNN-based joins in a Map-Reduce framework -- Effective and Efficient Heuristic Algorithms for Supporting Optimal Location of Hubs over Networks with Demand Uncertainty -- DMIS: Dual Model Index Structure for Enhanced Performance on Complexly Distributed Datasets -- Streaming Data Analytics for Feature Importance Measures in Concept Drift Detection and Adaptation -- An approach for efficient processing of machine operational data -- PrivSketch: A Private Sketch-based Frequency Estimation Protocol for Data Streams -- On tuning the sorted neighborhood method for record comparisons in a data deduplicaton pipeline -- Managing Semantic Evolutions in Semi-Structured Data -- Co-location pattern mining under the spatial structure constraint -- Database Design -- Enhancing Online Index Tuning with a Learned Tuning Diagnostic -- NoGar: A non-cooperative game for thread pinning in array databases -- LHKV: A Key-Value Data Collection Mechanism under Local Differential Privacy -- Investigating Lakehouse-Backbones for Vehicle Sensor Data -- Assessing the Effectiveness of Intrinsic Dimension Estimators for Uncovering the Phase Space Dimensionality of Dynamical Systems from State Observations - A Comparative Analysis -- Towards a Workload Mapping Model for Tuning Backing Services in Cloud Systems -- Compliance and Data Lifecycle Management in Databases and Backups -- A Real-time Parallel Information Processing Method for Signal Sorting -- Learning Optimal Tree-based Index Placement for Autonomous Database -- Social Links Enhanced Microblog Sentiment Analysis: Integrating Link Predic-tion and Sentiment Connection Weights -- Discovering Diverse Information Considering User Acceptability -- Confidential Truth Finding with Multi-Party Computation -- A Key-Value Based Approach to Scalable Graph Database -- Bitwise Algorithms to Compute the Transitive Closure of Graphs in Python -- Discovering Top-K Partial Periodic Patterns in Big Temporal Databases -- Query Optimization -- Dexteris: Data Exploration and Transformation with a Guided Query Builder Approach -- A Neighborhood Encoding for Subgraph Queries in Graph Databases -- MIRS: [MASK] Insertion based Retrieval Stabilizer for Query Variations -- Parallel Pattern Enumeration in Large Graphs -- S2CTrans: Building a Bridge from SPARQL to Cypher -- Rewriting Graph-DB Queries to Enforce Attribute-based Access Control -- A Polystore Querying System applied to heterogeneous and horizontally distrib-uted data -- Knowledge Representation. -Semantically Constitutive Entities in Knowledge Graphs -- KBQA: Accelerate Fuzzy Path Query on Knowledge Graph -- Tour Route Generation Considering Spot Congestion -- A Knowledge-based Approach to Business Process Analysis: from Informal to Formal -- Evaluating Prompt-based Question Answering for Object Prediction in the Open Research Knowledge Graph -- Variables are a Curse in Software Vulnerability Prediction -- Feature Selection for Aero-Engine Fault Detection -- Tracking Clusters of Links in Dynamic Social Networks -- Mind In Action: Cognitive Assessment using Action Recognition. -- Data integration revitalized: from Data Warehouse through Data Lake to Data Mesh -- Data Modeling -- Scalable Summarization for Knowledge Graphs with Controlled Utility Loss -- Commonsense-aware Attentive Modeling for Humor Recognition -- A study on Vulnerability Code Labeling Method in Open-Source C Programs -- Adding result diversification to kNN-based joins in a Map-Reduce framework -- Effective and Efficient Heuristic Algorithms for Supporting Optimal Location of Hubs over Networks with Demand Uncertainty -- DMIS: Dual Model Index Structure for Enhanced Performance on Complexly Distributed Datasets -- Streaming Data Analytics for Feature Importance Measures in Concept Drift Detection and Adaptation -- An approach for efficient processing of machine operational data -- PrivSketch: A Private Sketch-based Frequency Estimation Protocol for Data Streams -- On tuning the sorted neighborhood method for record comparisons in a data deduplicaton pipeline -- Managing Semantic Evolutions in Semi-Structured Data -- Co-location pattern mining under the spatial structure constraint -- Database Design -- Enhancing Online Index Tuning with a Learned Tuning Diagnostic -- NoGar: A non-cooperative game for thread pinning in array databases -- LHKV: A Key-Value Data Collection Mechanism under Local Differential Privacy -- Investigating Lakehouse-Backbones for Vehicle Sensor Data -- Assessing the Effectiveness of Intrinsic Dimension Estimators for Uncovering the Phase Space Dimensionality of Dynamical Systems from State Observations - A Comparative Analysis -- Towards a Workload Mapping Model for Tuning Backing Services in Cloud Systems -- Compliance and Data Lifecycle Management in Databases and Backups -- A Real-time Parallel Information Processing Method for Signal Sorting -- Learning Optimal Tree-based Index Placement for Autonomous Database -- Social Links Enhanced Microblog Sentiment Analysis: Integrating Link Predic-tion and Sentiment Connection Weights -- Discovering Diverse Information Considering User Acceptability -- Confidential Truth Finding with Multi-Party Computation -- A Key-Value Based Approach to Scalable Graph Database -- Bitwise Algorithms to Compute the Transitive Closure of Graphs in Python -- Discovering Top-K Partial Periodic Patterns in Big Temporal Databases -- Query Optimization -- Dexteris: Data Exploration and Transformation with a Guided Query Builder Approach -- A Neighborhood Encoding for Subgraph Queries in Graph Databases -- MIRS: [MASK] Insertion based Retrieval Stabilizer for Query Variations -- Parallel Pattern Enumeration in Large Graphs -- S2CTrans: Building a Bridge from SPARQL to Cypher -- Rewriting Graph-DB Queries to Enforce Attribute-based Access Control -- A Polystore Querying System applied to heterogeneous and horizontally distrib-uted data -- Knowledge Representation. -Semantically Constitutive Entities in Knowledge Graphs -- KBQA: Accelerate Fuzzy Path Query on Knowledge Graph -- Tour Route Generation Considering Spot Congestion -- A Knowledge-based Approach to Business Process Analysis: from Informal to Formal -- Evaluating Prompt-based Question Answering for Object Prediction in the Open Research Knowledge Graph -- Variables are a Curse in Software Vulnerability Prediction -- Feature Selection for Aero-Engine Fault Detection -- Tracking Clusters of Links in Dynamic Social Networks -- Mind In Action: Cognitive Assessment using Action Recognition. |
| Record Nr. | UNINA-9910741150703321 |
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Strauss Christine
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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