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Biblioteca

MARC Lista (tabellare)
Advances in Conceptual Modeling [[electronic resource] ] : ER 2018 Workshops Emp-ER, MoBiD, MREBA, QMMQ, SCME, Xi’an, China, October 22-25, 2018, Proceedings / / edited by Carson Woo, Jiaheng Lu, Zhanhuai Li, Tok Wang Ling, Guoliang Li, Mong Li Lee
Advances in Conceptual Modeling [[electronic resource] ] : ER 2018 Workshops Emp-ER, MoBiD, MREBA, QMMQ, SCME, Xi’an, China, October 22-25, 2018, Proceedings / / edited by Carson Woo, Jiaheng Lu, Zhanhuai Li, Tok Wang Ling, Guoliang Li, Mong Li Lee
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XX, 348 p. 97 illus.)
Disciplina 005.74
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Software engineering
Application software
Database management
Data mining
Information storage and retrieval
Software Engineering
Information Systems Applications (incl. Internet)
Database Management
Data Mining and Knowledge Discovery
Information Storage and Retrieval
ISBN 3-030-01391-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Keynotes -- Conceptual modeling studies -- Conceptual modeling studies II -- Ontological modeling -- Semi-structured data modeling -- Process modeling and management -- Spatio-temporal modeling -- Cloud-based modeling -- Schema and view modeling -- Languages and models -- NoSQL modeling -- Conceptual modeling for machine learning and reasoning -- Conceptual modeling for machine learning and reasoning II -- Applications of conceptual modeling.
Record Nr. UNINA-9910349399203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Conceptual Modeling [[electronic resource] ] : ER 2018 Workshops Emp-ER, MoBiD, MREBA, QMMQ, SCME, Xi’an, China, October 22-25, 2018, Proceedings / / edited by Carson Woo, Jiaheng Lu, Zhanhuai Li, Tok Wang Ling, Guoliang Li, Mong Li Lee
Advances in Conceptual Modeling [[electronic resource] ] : ER 2018 Workshops Emp-ER, MoBiD, MREBA, QMMQ, SCME, Xi’an, China, October 22-25, 2018, Proceedings / / edited by Carson Woo, Jiaheng Lu, Zhanhuai Li, Tok Wang Ling, Guoliang Li, Mong Li Lee
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XX, 348 p. 97 illus.)
Disciplina 005.74
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Software engineering
Application software
Database management
Data mining
Information storage and retrieval
Software Engineering
Information Systems Applications (incl. Internet)
Database Management
Data Mining and Knowledge Discovery
Information Storage and Retrieval
ISBN 3-030-01391-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Keynotes -- Conceptual modeling studies -- Conceptual modeling studies II -- Ontological modeling -- Semi-structured data modeling -- Process modeling and management -- Spatio-temporal modeling -- Cloud-based modeling -- Schema and view modeling -- Languages and models -- NoSQL modeling -- Conceptual modeling for machine learning and reasoning -- Conceptual modeling for machine learning and reasoning II -- Applications of conceptual modeling.
Record Nr. UNISA-996466427903316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Conceptual Modeling [[electronic resource] ] : 37th International Conference, ER 2018, Xi'an, China, October 22–25, 2018, Proceedings / / edited by Juan C. Trujillo, Karen C. Davis, Xiaoyong Du, Zhanhuai Li, Tok Wang Ling, Guoliang Li, Mong Li Lee
Conceptual Modeling [[electronic resource] ] : 37th International Conference, ER 2018, Xi'an, China, October 22–25, 2018, Proceedings / / edited by Juan C. Trujillo, Karen C. Davis, Xiaoyong Du, Zhanhuai Li, Tok Wang Ling, Guoliang Li, Mong Li Lee
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XIX, 636 p. 229 illus.)
Disciplina 005.74
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Software engineering
Application software
Database management
Data mining
Mathematical logic
Artificial intelligence
Software Engineering
Information Systems Applications (incl. Internet)
Database Management
Data Mining and Knowledge Discovery
Mathematical Logic and Formal Languages
Artificial Intelligence
ISBN 3-030-00847-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Keynotes -- Conceptual modeling studies -- Conceptual modeling studies II -- Ontological modeling -- Semi-structured data modeling -- Process modeling and management -- Spatio-temporal modeling -- Cloud-based modeling -- Schema and view modeling -- Languages and models -- NoSQL modeling -- Conceptual modeling for machine learning and reasoning -- Conceptual modeling for machine learning and reasoning II -- Applications of conceptual modeling.
Record Nr. UNINA-9910349405003321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Conceptual Modeling [[electronic resource] ] : 37th International Conference, ER 2018, Xi'an, China, October 22–25, 2018, Proceedings / / edited by Juan C. Trujillo, Karen C. Davis, Xiaoyong Du, Zhanhuai Li, Tok Wang Ling, Guoliang Li, Mong Li Lee
Conceptual Modeling [[electronic resource] ] : 37th International Conference, ER 2018, Xi'an, China, October 22–25, 2018, Proceedings / / edited by Juan C. Trujillo, Karen C. Davis, Xiaoyong Du, Zhanhuai Li, Tok Wang Ling, Guoliang Li, Mong Li Lee
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XIX, 636 p. 229 illus.)
Disciplina 005.74
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Software engineering
Application software
Database management
Data mining
Mathematical logic
Artificial intelligence
Software Engineering
Information Systems Applications (incl. Internet)
Database Management
Data Mining and Knowledge Discovery
Mathematical Logic and Formal Languages
Artificial Intelligence
ISBN 3-030-00847-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Keynotes -- Conceptual modeling studies -- Conceptual modeling studies II -- Ontological modeling -- Semi-structured data modeling -- Process modeling and management -- Spatio-temporal modeling -- Cloud-based modeling -- Schema and view modeling -- Languages and models -- NoSQL modeling -- Conceptual modeling for machine learning and reasoning -- Conceptual modeling for machine learning and reasoning II -- Applications of conceptual modeling.
Record Nr. UNISA-996466206003316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Database Systems for Advanced Applications [[electronic resource] ] : 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22–25, 2019, Proceedings, Part II / / edited by Guoliang Li, Jun Yang, Joao Gama, Juggapong Natwichai, Yongxin Tong
Database Systems for Advanced Applications [[electronic resource] ] : 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22–25, 2019, Proceedings, Part II / / edited by Guoliang Li, Jun Yang, Joao Gama, Juggapong Natwichai, Yongxin Tong
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XXIII, 785 p. 334 illus., 195 illus. in color.)
Disciplina 005.74
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Database management
Data mining
Information storage and retrieval
Artificial intelligence
Application software
Computer communication systems
Database Management
Data Mining and Knowledge Discovery
Information Storage and Retrieval
Artificial Intelligence
Computer Appl. in Social and Behavioral Sciences
Computer Communication Networks
ISBN 3-030-18579-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Machine Learning -- An Approach Based on Bayesian Networks for Query Selectivity Estimation -- An Exploration of Cross-Modal Retrieval for Unseen Concepts -- Continuous Patient-centric Sequence Generation via Sequentially Coupled Adversarial Learning -- DMMAM: A Deep Multi-source Multi-task Attention Model for Intensive Care Unit Diagnosis -- Learning k-Occurrence Regular Expressions with Interleaving -- Learning from User Social Relation for Document Sentiment Classification -- Reinforcement Learning to Diversify Recommendations -- Retweeting Prediction using Matrix Factorization with Binomial Distribution and Contextual Information -- Sparse Gradient Compression for Distributed SGD -- STDR: A Deep Learning Method for Travel Time Estimation -- Using Fractional Latent Topic to Enhance Recurrent Neural Network in Text Similarity Modeling -- Efficiently Mining Maximal Diverse Frequent Itemsets -- Privacy and Graph -- Efficient Local Search for Minimum Dominating Sets in Large Graphs -- Multi-level Graph Compression for Fast Reachability Detection -- Multiple Privacy Regimes Mechanism For Local Differential Privacy -- Privacy Preserving Elastic Stream Processing with Clouds using Homomorphic Encryption -- Select the Best for Me: Privacy-preserving Polynomial Evaluation Algorithm over Road Network -- Recommendation -- AdaCML: Adaptive Collaborative Metric Learning for Recommendation -- Adaptive Attention-Aware Gated Recurrent Unit for Sequential Recommendation -- Attention and Convolution Enhanced Memory Network for Sequential Recommendation -- Attention-based Neural Tag Recommender System -- Density Matrix based Preference Evolution Networks for E-commerce Recommendation -- Multi-Source Multi-Net Micro-Video Recommendation with Hidden Item Category Discovery -- Incorporating Task-oriented Representation in Text Classification -- Music Playlist Recommendation with Long Short-Term Memory -- Online Collaborative Filtering with Implicit Feedback -- Subspace Ensemble-based Neighbor User Searching for Neighborhood-based Collaborative Filtering -- Towards Both Local and Global Query Result Diversification -- Social Network -- Structured Spectral Clustering of PurTree Data -- Dynamic stochastic block model with scale-free characteristic for temporal complex networks -- In Good Company: Efficient Retrieval of the Top-k Most Relevant Event-Partner Pairs -- Local Experts Finding across Multiple Social Networks -- SBRNE: An Improved Unified Framework for Social and Behavior Recommendations with Network Embedding -- User Intention-based Document Summarization on Heterogeneous Sentence Networks -- Spatial -- A Hierarchical Index Structure for Region-aware Spatial Keyword Search with Edit Distance Constraint -- Collective POI Querying Based on Multiple Keywords and User Preference -- DPSCAN: Structural Graph Clustering Based on Density Peaks -- Efficient Processing of Spatial Group Preference Queries -- Reverse-Auction-Based Competitive Order Assignment for Mobile Taxi-Hailing Systems -- Top-k Spatio-Topic Query on Social Media Data -- Spatio-temporal -- A Frequency-aware Spatio-Temporal Network for Traffic Flow Prediction -- Efficient Algorithms for Solving Aggregate Keyword Routing Problems -- Perceiving Topic Bubbles: Local Topic Detection in Spatio-temporal Tweet Stream -- Real-Time Route Planning and Online Order Dispatch for Bus-Booking Platforms -- STL: Online Detection of Taxi Trajectory Anomaly based on Spatial-Temporal Laws.
Record Nr. UNINA-9910337561803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Database Systems for Advanced Applications [[electronic resource] ] : DASFAA 2019 International Workshops: BDMS, BDQM, and GDMA, Chiang Mai, Thailand, April 22–25, 2019, Proceedings / / edited by Guoliang Li, Jun Yang, Joao Gama, Juggapong Natwichai, Yongxin Tong
Database Systems for Advanced Applications [[electronic resource] ] : DASFAA 2019 International Workshops: BDMS, BDQM, and GDMA, Chiang Mai, Thailand, April 22–25, 2019, Proceedings / / edited by Guoliang Li, Jun Yang, Joao Gama, Juggapong Natwichai, Yongxin Tong
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XXI, 607 p. 241 illus., 154 illus. in color.)
Disciplina 005.7565
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Database management
Data mining
Application software
Artificial intelligence
Computer communication systems
Data protection
Database Management
Data Mining and Knowledge Discovery
Information Systems Applications (incl. Internet)
Artificial Intelligence
Computer Communication Networks
Security
ISBN 3-030-18590-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The 6th International Workshop on Big Data Management and Service (BDSM 2019) -- A Probabilistic Approach for Inferring Latent Entity Associations in Textual Web Contents -- UHRP Uncertainty-Based Pruning Method for Anonymized Data Linear Regression -- Meta-path based MiRNA-disease Association Prediction -- Medical Question Retrieval based on Siamese Neural Network and Transfer learning method -- An adaptive Kalman filter based Ocean Wave Prediction Model using Motion Reference Unit Data -- ASLM: Adaptive Single Layer Model for Learned Index -- SparseMAAC: Sparse Attention for Multi-Agent Reinforcement Learning -- The 4th International Workshop on Big Data Quality Management (BDQM 2019) -- Identifying Reference Relationship of Desktop Files Based on Access Logs -- Visualization of Photo Album: Selecting a Representative Photo of a Specific Event -- Data Quality Management in Institutional Research Output Data Center -- Generalized Bayesian Structure Learning from Noisy Datasets -- The Third International Workshop on Graph Data Management and Analysis (GDMA 2019) -- ANDMC: An Algorithm for Author Name Disambiguation Based on Molecular Cross Clustering -- Graph Based Aspect Extraction and Rating Classification of Customer Review Data -- Streaming Massive Electric Power Data Analysis Based on Spark Streaming -- Short Papers -- Deletion Robust k-Coverage Queries -- Episodic Memory Network with Self-Attention for Emotion Detection -- Detecting Suicidal Ideation with Data Protection in Online Communities -- Hierarchical Conceptual Labeling -- Anomaly Detection in Time-Evolving Attributed Networks -- A Multi-task Learning Framework for Automatic Early Detection of Alzheimer’s -- Top-k Spatial Keyword Query with Typicality and Semantics -- Align Reviews with Topics in Attention Network for Rating Prediction -- PSMSP: A Parallelized Sampling-based Approach for Mining Top-k Sequential Patterns in Database Graphs -- Value-Oriented Ranking of Online Reviews Based on Reviewer-influenced Graph -- Ancient Chinese Landscape Painting Composition Classification by Using Semantic Variational Autoencoder -- Learning Time-Aware Distributed Representations of Locations from Spatio-Temporal Trajectories -- Hyper2vec: Biased Random Walk for Hyper-Network Embedding -- Privacy-preserving and dynamic spatial range aggregation query processing in wireless sensor networks -- Adversarial Discriminative Denoising for Distant Supervision Relation Extraction -- Nonnegative Spectral Clustering for Large-Scale Semi-Supervised Learning -- Distributed PARAFAC Decomposition Method based on In-Memory Big Data System -- GPU-Accelerated Dynamic Graph Coloring -- Relevance-based Entity Embedding -- An Iterative Map-Trajectory Co-Optimisation Framework Based on Map-Matching and Map Update -- Exploring Regularity in Traditional Chinese Medicine Clinical Data Using Heterogeneous Weighted Networks Embedding -- AGREE: Attentive Tour Group Recommendation with Multi-Modal Data -- Random Decision DAG: An Entropy Based Compression Approach for Random Forest -- Generating Behavior Features for Cold-Start Spam Review Detection -- TCL: Tensor-CNN-LSTM for Travel Time Prediction with Sparse Trajectory Data -- A Semi-supervised Classification Approach for Multiple Time-varying Networks with Total Variation -- Multidimensional Skylines Over Streaming Data -- A domain adaptation approach for multistream classification -- Gradient Boosting Censored Regression for Winning Price Prediction in Real-Time Bidding -- Deep Sequential Multi-task Modeling for Next Check-in Time and Location Prediction -- SemiSync: Semi-supervised Clustering by Synchronization -- Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors -- MVS-match: An Efficient Subsequence Matching Approach Based on the Series Synopsis -- Temporal-Spatial Recommendation for On-demand Cinemas -- Finding the key influences on the house price by Finite Mixture Model based on the real estate data in Changchun -- Semi-supervised Clustering with Deep Metric Learning -- Spatial Bottleneck Minimum Task Assignment with Time-delay -- A Mimic Learning Method for Disease Risk Prediction with Incomplete Initial Data -- Hospitalization Behavior Prediction Based on Attention and Time Adjustment Factors in Bidirectional LSTM -- Modeling Item Category for Effective Recommendation -- Distributed Reachability Queries on Massive Graphs -- Edge-Based Shortest Path Caching in Road Networks -- Extracting Definitions and Hypernyms with a Two-Phase Framework -- Tag Recommendation by Word-Level Tag Sequence Modeling -- A New Statistics Collecting Method with Adaptive Strategy -- Word Sense Disambiguation with Massive Contextual Texts -- Learning DMEs from Positive and Negative Examples -- Serial and Parallel Recurrent Convolutional Neural Networks for Biomedical Named Entity Recognition -- DRGAN: A GAN-based Framework for Doctor Recommendation in Chinese On-line QA Communities -- Attention-based Abnormal-Aware Fusion Network for Radiology Report Generation -- LearningTour: A Machine Learning Approach for Tour Recommendation based on Users’ Historical Travel Experience -- TF-Miner: Topic-specific Facet Mining by Label Propagation -- Fast Raft Replication for Transactional Database Systems over Unreliable Networks -- Parallelizing Big De Bruijn Graph Traversal for Genome Assembly on GPU Clusters -- GScan: Exploiting Sequential Scans for Subgraph Matching -- SIMD Accelerates the Probe Phase of Star Joins in Main Memory Databases -- A Deep Recommendation Model Incorporating Adaptive Knowledge-based Representations -- BLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation -- Spatiotemporal-Aware Region Recommendation with Deep Metric Learning -- On the Impact of the Length of Subword Vectors on Word Embeddings -- Using Dilated Residual Network to Model Distant Supervision Relation Extraction -- Modeling More Globally: A Hierarchical Attention Network via Multi-Task Learning for Aspect-Based Sentiment Analysis -- A Sparse Matrix-based Join for SPARQL Query Processing -- Change Point Detection for Streaming High-Dimensional time series -- Demo Papers -- Distributed Query Engine for Multiple-Query Optimization over Data Stream -- Adding Value by Combining Business and Sensor Data: An Industry 4.0 Use Case -- AgriKG: An Agricultural Knowledge Graph and Its Applications -- KGVis: An Interactive Visual Query Language for Knowledge Graphs -- OperaMiner: Extracting Character Relations from Opera Scripts using Deep Neural Networks -- GparMiner: A System to mine Graph Pattern Association Rules -- A Data Publishing System Based on Privacy Preservation -- Privacy as a Service: Publishing Data and Models -- Dynamic Bus Route Adjustment Based on Hot Bus Stop Pair Extraction -- DHDSearch: A Framework for Batch Time Series Searching on MapReduce -- Bus Stop Refinement based on Hot Spot Extraction -- Adaptive Transaction Scheduling for Highly Contended Workloads -- IMOptimizer: An Online Interactive Parameter Optimization System based on Big Data -- Tutorial Papers -- Cohesive Subgraphs with Hierarchical Decomposition on Big Graphs -- Tracking User Behaviours: Laboratory-Based and In-The-Wild User S -- Mining Knowledge Graphs for Vision Tasks -- Enterprise Knowledge Graph From Specific Business Task to Enterprise Knowledge Management -- Knowledge Graph Data Management -- Deep learning for Healthcare Data Processing.
Record Nr. UNINA-9910337562303321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Database Systems for Advanced Applications [[electronic resource] ] : 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22–25, 2019, Proceedings, Part I / / edited by Guoliang Li, Jun Yang, Joao Gama, Juggapong Natwichai, Yongxin Tong
Database Systems for Advanced Applications [[electronic resource] ] : 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22–25, 2019, Proceedings, Part I / / edited by Guoliang Li, Jun Yang, Joao Gama, Juggapong Natwichai, Yongxin Tong
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XXIV, 817 p.)
Disciplina 005.7565
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Database management
Data mining
Information storage and retrieval
Artificial intelligence
Application software
Computer communication systems
Database Management
Data Mining and Knowledge Discovery
Information Storage and Retrieval
Artificial Intelligence
Computer Appl. in Social and Behavioral Sciences
Computer Communication Networks
ISBN 3-030-18576-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Big Data -- Accelerating Real-time Tracking Applications over Big Data Stream with Constrained Space -- A Frequency Scaling based Performance Indicator Framework for Big Data Systems -- A Time-Series Sockpuppet Detection Method for Dynamic Social Relationships -- Accelerating Hybrid Transactional/Analytical Processing using Consistent Dual-Snapshot -- HSDS: an Abstractive Model for Automatic Survey Generation -- PU-Shapelets: Towards Pattern-based Positive Unlabeled Classification of Time Series -- Clustering and Classification -- Discovering Relationship Patterns among Associated Temporal Event Sequences -- Efficient Mining of Event Periodicity in Data Series -- EPPADS: An Enhanced Phase-based Performance-Aware Dynamic Scheduler for High Job Execution Performance in Large Scale Data Clusters -- Incremental Discovery of Order Dependencies on Tuple Insertions -- Multi-view Spectral Clustering via Weighted-view Consensus Similarity and Matrix-decomposition based Discretization -- SIRCS: Slope-intercept-residual Compression by Correlation Sequencing for Multi-stream High Variation Data -- Crowdsourcing -- Fast Quorum-based Log Replication and Replay for Fast Databases -- PDCS: A Privacy-preserving Distinct Counting Scheme for Mobile Sensing -- Reinforced Reliable Worker Selection for Spatial Crowdsensing Networks -- SeqST-ResNet: A Sequential Spatial Temporal ResNet for Task Prediction in Spatial Crowdsourcing -- Towards Robust Arbitrarily Oriented Subspace Clustering -- Truthful Crowdsensed Data Trading Based on Reverse Auction and Blockchain -- Data Integration -- Selective Matrix Factorization for Multi-Relational Data Fusion -- Selectivity Estimation on Set Containment Search -- Typicality-based Across-time Mapping of Entity Sets in Document Archives -- Unsupervised Entity Alignment using Attribute Triples and Relation Triples -- Combining Meta-Graph and Attention for Recommendation over Heterogeneous Information Network -- Efficient Search of the Most Cohesive Co-Located Community in Attributed Networks -- Embedding -- A Weighted Word Embedding Model for Text Classification -- Bipartite Network Embedding via Effective Integration of Explicit and Implicit Relations -- Enhancing Network Embedding with Implicit Clustering -- MDAL: Multi-task Dual Attention LSTM Model for Semi-supervised Network Embedding -- Net2Text: An Edge Labelling Language Model for Personalized Comment Generation -- Understanding Information Diffusion via Heterogeneous Information Network Embeddings -- Graphs -- Distributed Parallel Structural Hole Detection on Big Graphs -- DynGraphGAN: Dynamic Graph Embedding via Generative Adversarial Networks -- Evaluating Mixed Patterns on Large Data Graphs Using Bitmap Views -- Heterogeneous Information Network Hashing for Fast Nearest Neighbor Search -- Learning Fine-grained Patient Similarity with Dynamic Bayesian Network Embedded RNNs -- Towards Efficient k-TriPeak Decomposition on Large Graphs -- Knowledge Graph -- Evaluating the Choice of Tags in CQA Sites -- Fast Maximal Clique Enumeration for Real-world Graphs -- Leveraging Knowledge Graph Embeddings for Natural Language Question Answering -- Measuring Semantic Relatedness with Knowledge Association Network -- SINE: Side Information Network Embedding -- A Knowledge Graph Enhanced Topic Modeling Approach for Herb Recommendation -- Knowledge Base Error Detection with Relation Sensitive Embedding -- Leon: A Distributed RDF Engine for Multi-query Processing -- MathGraph: A knowledge graph for solving mathematical exercises -- Multi-Hop Path Queries over Knowledge Graphs with Neural Memory Networks -- Sentiment Classification by Leveraging the Shared Knowledge.
Record Nr. UNINA-9910337562003321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Database Systems for Advanced Applications [[electronic resource] ] : 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22–25, 2019, Proceedings, Part II / / edited by Guoliang Li, Jun Yang, Joao Gama, Juggapong Natwichai, Yongxin Tong
Database Systems for Advanced Applications [[electronic resource] ] : 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22–25, 2019, Proceedings, Part II / / edited by Guoliang Li, Jun Yang, Joao Gama, Juggapong Natwichai, Yongxin Tong
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XXIII, 785 p. 334 illus., 195 illus. in color.)
Disciplina 005.74
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Database management
Data mining
Information storage and retrieval
Artificial intelligence
Application software
Computer communication systems
Database Management
Data Mining and Knowledge Discovery
Information Storage and Retrieval
Artificial Intelligence
Computer Appl. in Social and Behavioral Sciences
Computer Communication Networks
ISBN 3-030-18579-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Machine Learning -- An Approach Based on Bayesian Networks for Query Selectivity Estimation -- An Exploration of Cross-Modal Retrieval for Unseen Concepts -- Continuous Patient-centric Sequence Generation via Sequentially Coupled Adversarial Learning -- DMMAM: A Deep Multi-source Multi-task Attention Model for Intensive Care Unit Diagnosis -- Learning k-Occurrence Regular Expressions with Interleaving -- Learning from User Social Relation for Document Sentiment Classification -- Reinforcement Learning to Diversify Recommendations -- Retweeting Prediction using Matrix Factorization with Binomial Distribution and Contextual Information -- Sparse Gradient Compression for Distributed SGD -- STDR: A Deep Learning Method for Travel Time Estimation -- Using Fractional Latent Topic to Enhance Recurrent Neural Network in Text Similarity Modeling -- Efficiently Mining Maximal Diverse Frequent Itemsets -- Privacy and Graph -- Efficient Local Search for Minimum Dominating Sets in Large Graphs -- Multi-level Graph Compression for Fast Reachability Detection -- Multiple Privacy Regimes Mechanism For Local Differential Privacy -- Privacy Preserving Elastic Stream Processing with Clouds using Homomorphic Encryption -- Select the Best for Me: Privacy-preserving Polynomial Evaluation Algorithm over Road Network -- Recommendation -- AdaCML: Adaptive Collaborative Metric Learning for Recommendation -- Adaptive Attention-Aware Gated Recurrent Unit for Sequential Recommendation -- Attention and Convolution Enhanced Memory Network for Sequential Recommendation -- Attention-based Neural Tag Recommender System -- Density Matrix based Preference Evolution Networks for E-commerce Recommendation -- Multi-Source Multi-Net Micro-Video Recommendation with Hidden Item Category Discovery -- Incorporating Task-oriented Representation in Text Classification -- Music Playlist Recommendation with Long Short-Term Memory -- Online Collaborative Filtering with Implicit Feedback -- Subspace Ensemble-based Neighbor User Searching for Neighborhood-based Collaborative Filtering -- Towards Both Local and Global Query Result Diversification -- Social Network -- Structured Spectral Clustering of PurTree Data -- Dynamic stochastic block model with scale-free characteristic for temporal complex networks -- In Good Company: Efficient Retrieval of the Top-k Most Relevant Event-Partner Pairs -- Local Experts Finding across Multiple Social Networks -- SBRNE: An Improved Unified Framework for Social and Behavior Recommendations with Network Embedding -- User Intention-based Document Summarization on Heterogeneous Sentence Networks -- Spatial -- A Hierarchical Index Structure for Region-aware Spatial Keyword Search with Edit Distance Constraint -- Collective POI Querying Based on Multiple Keywords and User Preference -- DPSCAN: Structural Graph Clustering Based on Density Peaks -- Efficient Processing of Spatial Group Preference Queries -- Reverse-Auction-Based Competitive Order Assignment for Mobile Taxi-Hailing Systems -- Top-k Spatio-Topic Query on Social Media Data -- Spatio-temporal -- A Frequency-aware Spatio-Temporal Network for Traffic Flow Prediction -- Efficient Algorithms for Solving Aggregate Keyword Routing Problems -- Perceiving Topic Bubbles: Local Topic Detection in Spatio-temporal Tweet Stream -- Real-Time Route Planning and Online Order Dispatch for Bus-Booking Platforms -- STL: Online Detection of Taxi Trajectory Anomaly based on Spatial-Temporal Laws.
Record Nr. UNISA-996466316803316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Database Systems for Advanced Applications [[electronic resource] ] : 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22–25, 2019, Proceedings, Part I / / edited by Guoliang Li, Jun Yang, Joao Gama, Juggapong Natwichai, Yongxin Tong
Database Systems for Advanced Applications [[electronic resource] ] : 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22–25, 2019, Proceedings, Part I / / edited by Guoliang Li, Jun Yang, Joao Gama, Juggapong Natwichai, Yongxin Tong
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XXIV, 817 p.)
Disciplina 005.7565
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Database management
Data mining
Information storage and retrieval
Artificial intelligence
Application software
Computer communication systems
Database Management
Data Mining and Knowledge Discovery
Information Storage and Retrieval
Artificial Intelligence
Computer Appl. in Social and Behavioral Sciences
Computer Communication Networks
ISBN 3-030-18576-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Big Data -- Accelerating Real-time Tracking Applications over Big Data Stream with Constrained Space -- A Frequency Scaling based Performance Indicator Framework for Big Data Systems -- A Time-Series Sockpuppet Detection Method for Dynamic Social Relationships -- Accelerating Hybrid Transactional/Analytical Processing using Consistent Dual-Snapshot -- HSDS: an Abstractive Model for Automatic Survey Generation -- PU-Shapelets: Towards Pattern-based Positive Unlabeled Classification of Time Series -- Clustering and Classification -- Discovering Relationship Patterns among Associated Temporal Event Sequences -- Efficient Mining of Event Periodicity in Data Series -- EPPADS: An Enhanced Phase-based Performance-Aware Dynamic Scheduler for High Job Execution Performance in Large Scale Data Clusters -- Incremental Discovery of Order Dependencies on Tuple Insertions -- Multi-view Spectral Clustering via Weighted-view Consensus Similarity and Matrix-decomposition based Discretization -- SIRCS: Slope-intercept-residual Compression by Correlation Sequencing for Multi-stream High Variation Data -- Crowdsourcing -- Fast Quorum-based Log Replication and Replay for Fast Databases -- PDCS: A Privacy-preserving Distinct Counting Scheme for Mobile Sensing -- Reinforced Reliable Worker Selection for Spatial Crowdsensing Networks -- SeqST-ResNet: A Sequential Spatial Temporal ResNet for Task Prediction in Spatial Crowdsourcing -- Towards Robust Arbitrarily Oriented Subspace Clustering -- Truthful Crowdsensed Data Trading Based on Reverse Auction and Blockchain -- Data Integration -- Selective Matrix Factorization for Multi-Relational Data Fusion -- Selectivity Estimation on Set Containment Search -- Typicality-based Across-time Mapping of Entity Sets in Document Archives -- Unsupervised Entity Alignment using Attribute Triples and Relation Triples -- Combining Meta-Graph and Attention for Recommendation over Heterogeneous Information Network -- Efficient Search of the Most Cohesive Co-Located Community in Attributed Networks -- Embedding -- A Weighted Word Embedding Model for Text Classification -- Bipartite Network Embedding via Effective Integration of Explicit and Implicit Relations -- Enhancing Network Embedding with Implicit Clustering -- MDAL: Multi-task Dual Attention LSTM Model for Semi-supervised Network Embedding -- Net2Text: An Edge Labelling Language Model for Personalized Comment Generation -- Understanding Information Diffusion via Heterogeneous Information Network Embeddings -- Graphs -- Distributed Parallel Structural Hole Detection on Big Graphs -- DynGraphGAN: Dynamic Graph Embedding via Generative Adversarial Networks -- Evaluating Mixed Patterns on Large Data Graphs Using Bitmap Views -- Heterogeneous Information Network Hashing for Fast Nearest Neighbor Search -- Learning Fine-grained Patient Similarity with Dynamic Bayesian Network Embedded RNNs -- Towards Efficient k-TriPeak Decomposition on Large Graphs -- Knowledge Graph -- Evaluating the Choice of Tags in CQA Sites -- Fast Maximal Clique Enumeration for Real-world Graphs -- Leveraging Knowledge Graph Embeddings for Natural Language Question Answering -- Measuring Semantic Relatedness with Knowledge Association Network -- SINE: Side Information Network Embedding -- A Knowledge Graph Enhanced Topic Modeling Approach for Herb Recommendation -- Knowledge Base Error Detection with Relation Sensitive Embedding -- Leon: A Distributed RDF Engine for Multi-query Processing -- MathGraph: A knowledge graph for solving mathematical exercises -- Multi-Hop Path Queries over Knowledge Graphs with Neural Memory Networks -- Sentiment Classification by Leveraging the Shared Knowledge.
Record Nr. UNISA-996466317503316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
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Database Systems for Advanced Applications [[electronic resource] ] : DASFAA 2019 International Workshops: BDMS, BDQM, and GDMA, Chiang Mai, Thailand, April 22–25, 2019, Proceedings / / edited by Guoliang Li, Jun Yang, Joao Gama, Juggapong Natwichai, Yongxin Tong
Database Systems for Advanced Applications [[electronic resource] ] : DASFAA 2019 International Workshops: BDMS, BDQM, and GDMA, Chiang Mai, Thailand, April 22–25, 2019, Proceedings / / edited by Guoliang Li, Jun Yang, Joao Gama, Juggapong Natwichai, Yongxin Tong
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XXI, 607 p. 241 illus., 154 illus. in color.)
Disciplina 005.7565
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Database management
Data mining
Application software
Artificial intelligence
Computer communication systems
Data protection
Database Management
Data Mining and Knowledge Discovery
Information Systems Applications (incl. Internet)
Artificial Intelligence
Computer Communication Networks
Security
ISBN 3-030-18590-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The 6th International Workshop on Big Data Management and Service (BDSM 2019) -- A Probabilistic Approach for Inferring Latent Entity Associations in Textual Web Contents -- UHRP Uncertainty-Based Pruning Method for Anonymized Data Linear Regression -- Meta-path based MiRNA-disease Association Prediction -- Medical Question Retrieval based on Siamese Neural Network and Transfer learning method -- An adaptive Kalman filter based Ocean Wave Prediction Model using Motion Reference Unit Data -- ASLM: Adaptive Single Layer Model for Learned Index -- SparseMAAC: Sparse Attention for Multi-Agent Reinforcement Learning -- The 4th International Workshop on Big Data Quality Management (BDQM 2019) -- Identifying Reference Relationship of Desktop Files Based on Access Logs -- Visualization of Photo Album: Selecting a Representative Photo of a Specific Event -- Data Quality Management in Institutional Research Output Data Center -- Generalized Bayesian Structure Learning from Noisy Datasets -- The Third International Workshop on Graph Data Management and Analysis (GDMA 2019) -- ANDMC: An Algorithm for Author Name Disambiguation Based on Molecular Cross Clustering -- Graph Based Aspect Extraction and Rating Classification of Customer Review Data -- Streaming Massive Electric Power Data Analysis Based on Spark Streaming -- Short Papers -- Deletion Robust k-Coverage Queries -- Episodic Memory Network with Self-Attention for Emotion Detection -- Detecting Suicidal Ideation with Data Protection in Online Communities -- Hierarchical Conceptual Labeling -- Anomaly Detection in Time-Evolving Attributed Networks -- A Multi-task Learning Framework for Automatic Early Detection of Alzheimer’s -- Top-k Spatial Keyword Query with Typicality and Semantics -- Align Reviews with Topics in Attention Network for Rating Prediction -- PSMSP: A Parallelized Sampling-based Approach for Mining Top-k Sequential Patterns in Database Graphs -- Value-Oriented Ranking of Online Reviews Based on Reviewer-influenced Graph -- Ancient Chinese Landscape Painting Composition Classification by Using Semantic Variational Autoencoder -- Learning Time-Aware Distributed Representations of Locations from Spatio-Temporal Trajectories -- Hyper2vec: Biased Random Walk for Hyper-Network Embedding -- Privacy-preserving and dynamic spatial range aggregation query processing in wireless sensor networks -- Adversarial Discriminative Denoising for Distant Supervision Relation Extraction -- Nonnegative Spectral Clustering for Large-Scale Semi-Supervised Learning -- Distributed PARAFAC Decomposition Method based on In-Memory Big Data System -- GPU-Accelerated Dynamic Graph Coloring -- Relevance-based Entity Embedding -- An Iterative Map-Trajectory Co-Optimisation Framework Based on Map-Matching and Map Update -- Exploring Regularity in Traditional Chinese Medicine Clinical Data Using Heterogeneous Weighted Networks Embedding -- AGREE: Attentive Tour Group Recommendation with Multi-Modal Data -- Random Decision DAG: An Entropy Based Compression Approach for Random Forest -- Generating Behavior Features for Cold-Start Spam Review Detection -- TCL: Tensor-CNN-LSTM for Travel Time Prediction with Sparse Trajectory Data -- A Semi-supervised Classification Approach for Multiple Time-varying Networks with Total Variation -- Multidimensional Skylines Over Streaming Data -- A domain adaptation approach for multistream classification -- Gradient Boosting Censored Regression for Winning Price Prediction in Real-Time Bidding -- Deep Sequential Multi-task Modeling for Next Check-in Time and Location Prediction -- SemiSync: Semi-supervised Clustering by Synchronization -- Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors -- MVS-match: An Efficient Subsequence Matching Approach Based on the Series Synopsis -- Temporal-Spatial Recommendation for On-demand Cinemas -- Finding the key influences on the house price by Finite Mixture Model based on the real estate data in Changchun -- Semi-supervised Clustering with Deep Metric Learning -- Spatial Bottleneck Minimum Task Assignment with Time-delay -- A Mimic Learning Method for Disease Risk Prediction with Incomplete Initial Data -- Hospitalization Behavior Prediction Based on Attention and Time Adjustment Factors in Bidirectional LSTM -- Modeling Item Category for Effective Recommendation -- Distributed Reachability Queries on Massive Graphs -- Edge-Based Shortest Path Caching in Road Networks -- Extracting Definitions and Hypernyms with a Two-Phase Framework -- Tag Recommendation by Word-Level Tag Sequence Modeling -- A New Statistics Collecting Method with Adaptive Strategy -- Word Sense Disambiguation with Massive Contextual Texts -- Learning DMEs from Positive and Negative Examples -- Serial and Parallel Recurrent Convolutional Neural Networks for Biomedical Named Entity Recognition -- DRGAN: A GAN-based Framework for Doctor Recommendation in Chinese On-line QA Communities -- Attention-based Abnormal-Aware Fusion Network for Radiology Report Generation -- LearningTour: A Machine Learning Approach for Tour Recommendation based on Users’ Historical Travel Experience -- TF-Miner: Topic-specific Facet Mining by Label Propagation -- Fast Raft Replication for Transactional Database Systems over Unreliable Networks -- Parallelizing Big De Bruijn Graph Traversal for Genome Assembly on GPU Clusters -- GScan: Exploiting Sequential Scans for Subgraph Matching -- SIMD Accelerates the Probe Phase of Star Joins in Main Memory Databases -- A Deep Recommendation Model Incorporating Adaptive Knowledge-based Representations -- BLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation -- Spatiotemporal-Aware Region Recommendation with Deep Metric Learning -- On the Impact of the Length of Subword Vectors on Word Embeddings -- Using Dilated Residual Network to Model Distant Supervision Relation Extraction -- Modeling More Globally: A Hierarchical Attention Network via Multi-Task Learning for Aspect-Based Sentiment Analysis -- A Sparse Matrix-based Join for SPARQL Query Processing -- Change Point Detection for Streaming High-Dimensional time series -- Demo Papers -- Distributed Query Engine for Multiple-Query Optimization over Data Stream -- Adding Value by Combining Business and Sensor Data: An Industry 4.0 Use Case -- AgriKG: An Agricultural Knowledge Graph and Its Applications -- KGVis: An Interactive Visual Query Language for Knowledge Graphs -- OperaMiner: Extracting Character Relations from Opera Scripts using Deep Neural Networks -- GparMiner: A System to mine Graph Pattern Association Rules -- A Data Publishing System Based on Privacy Preservation -- Privacy as a Service: Publishing Data and Models -- Dynamic Bus Route Adjustment Based on Hot Bus Stop Pair Extraction -- DHDSearch: A Framework for Batch Time Series Searching on MapReduce -- Bus Stop Refinement based on Hot Spot Extraction -- Adaptive Transaction Scheduling for Highly Contended Workloads -- IMOptimizer: An Online Interactive Parameter Optimization System based on Big Data -- Tutorial Papers -- Cohesive Subgraphs with Hierarchical Decomposition on Big Graphs -- Tracking User Behaviours: Laboratory-Based and In-The-Wild User S -- Mining Knowledge Graphs for Vision Tasks -- Enterprise Knowledge Graph From Specific Business Task to Enterprise Knowledge Management -- Knowledge Graph Data Management -- Deep learning for Healthcare Data Processing.
Record Nr. UNISA-996466308403316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui