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2007 International Conference on Parallel Processing Workshops : 10-14 September 2007, Xi'an, China / / edited by Makota Takizawa and A. Min Tjoa ; sponsored by International Association of Computers and Communications (IACC) ; in cooperation with the Ohio State University, USA and Xidian University, China
| 2007 International Conference on Parallel Processing Workshops : 10-14 September 2007, Xi'an, China / / edited by Makota Takizawa and A. Min Tjoa ; sponsored by International Association of Computers and Communications (IACC) ; in cooperation with the Ohio State University, USA and Xidian University, China |
| Pubbl/distr/stampa | New York : , : IEEE, , 2007 |
| Descrizione fisica | 1 online resource (645 pages) |
| Soggetto topico |
Parallel processing (Electronic computers)
Electronic data processing - Distributed processing |
| ISBN | 1-5090-8907-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996211392103316 |
| New York : , : IEEE, , 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
2007 International Conference on Parallel Processing Workshops : 10-14 September 2007, Xi'an, China / / edited by Makota Takizawa and A. Min Tjoa ; sponsored by International Association of Computers and Communications (IACC) ; in cooperation with the Ohio State University, USA and Xidian University, China
| 2007 International Conference on Parallel Processing Workshops : 10-14 September 2007, Xi'an, China / / edited by Makota Takizawa and A. Min Tjoa ; sponsored by International Association of Computers and Communications (IACC) ; in cooperation with the Ohio State University, USA and Xidian University, China |
| Pubbl/distr/stampa | New York : , : IEEE, , 2007 |
| Descrizione fisica | 1 online resource (645 pages) |
| Soggetto topico |
Parallel processing (Electronic computers)
Electronic data processing - Distributed processing |
| ISBN | 1-5090-8907-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910142976903321 |
| New York : , : IEEE, , 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
2015 26th International Workshop on Database and Expert Systems Applications : DEXA 2015 : 1-4 September 2015, Valencia, Spain : proceedings / / edited by Marcus Spies, Roland R. Wagner, A Min Tjoa
| 2015 26th International Workshop on Database and Expert Systems Applications : DEXA 2015 : 1-4 September 2015, Valencia, Spain : proceedings / / edited by Marcus Spies, Roland R. Wagner, A Min Tjoa |
| Pubbl/distr/stampa | Piscataway, NJ : , : IEEE, , [2015] |
| Descrizione fisica | 1 online resource (xxvi, 314 pages) : illustrations |
| Disciplina | 005.74 |
| Soggetto topico |
Database management
Expert systems (Computer science) |
| ISBN | 1-4673-7582-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | BIOKDD 2015 - 6th International Workshop on Biological Knowledge Discovery and Data Mining -- Session 1 -- Session 2 -- Session 3 -- IATEM 2015 - 4th International Workshop on Artificial Intelligence Techniques for Power Systems and Energy Markets -- Session 1: Multi-agent Electricity Markets -- Session 2: Intelligent Energy Systems and Energy Markets -- IPCK-FF 2015 - 1st DEXA Workshop on Integrated Processing, Control and Knowledge Systems for Sustainable Production in Farms and Forests -- ISSASiM 2015 - 5th DEXA Workshop on Information Systems for Situation Awareness and Situation Management -- Situation Awareness and Management for Disaster Management -- Data Science in Situation Awareness and Management -- KDCloudApps 2015 - First International Workshop on Knowledge Discovery and Cloud Computing Applications -- Session 1 -- Session 2 -- Session 3 -- NoSQL-Net 2015 - 2nd International Workshop on NoSQL Databases, Emerging Database Technologies and Applications -- TIR 2015 - 12th International Workshop on Text-Based Information Retrieval -- Text Mining and Classification -- Web Search -- Natural Language Processing -- Author Index. |
| Altri titoli varianti |
2015 26th International Workshop on Database and Expert Systems Applications (DEXA)
2015 26th International Workshop on Database and Expert Systems Applications Database and Expert Systems Applications |
| Record Nr. | UNINA-9910136439203321 |
| Piscataway, NJ : , : IEEE, , [2015] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
2015 26th International Workshop on Database and Expert Systems Applications : DEXA 2015 : 1-4 September 2015, Valencia, Spain : proceedings / / edited by Marcus Spies, Roland R. Wagner, A Min Tjoa
| 2015 26th International Workshop on Database and Expert Systems Applications : DEXA 2015 : 1-4 September 2015, Valencia, Spain : proceedings / / edited by Marcus Spies, Roland R. Wagner, A Min Tjoa |
| Pubbl/distr/stampa | Piscataway, NJ : , : IEEE, , [2015] |
| Descrizione fisica | 1 online resource (xxvi, 314 pages) : illustrations |
| Disciplina | 005.74 |
| Soggetto topico |
Database management
Expert systems (Computer science) |
| ISBN | 1-4673-7582-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | BIOKDD 2015 - 6th International Workshop on Biological Knowledge Discovery and Data Mining -- Session 1 -- Session 2 -- Session 3 -- IATEM 2015 - 4th International Workshop on Artificial Intelligence Techniques for Power Systems and Energy Markets -- Session 1: Multi-agent Electricity Markets -- Session 2: Intelligent Energy Systems and Energy Markets -- IPCK-FF 2015 - 1st DEXA Workshop on Integrated Processing, Control and Knowledge Systems for Sustainable Production in Farms and Forests -- ISSASiM 2015 - 5th DEXA Workshop on Information Systems for Situation Awareness and Situation Management -- Situation Awareness and Management for Disaster Management -- Data Science in Situation Awareness and Management -- KDCloudApps 2015 - First International Workshop on Knowledge Discovery and Cloud Computing Applications -- Session 1 -- Session 2 -- Session 3 -- NoSQL-Net 2015 - 2nd International Workshop on NoSQL Databases, Emerging Database Technologies and Applications -- TIR 2015 - 12th International Workshop on Text-Based Information Retrieval -- Text Mining and Classification -- Web Search -- Natural Language Processing -- Author Index. |
| Altri titoli varianti |
2015 26th International Workshop on Database and Expert Systems Applications (DEXA)
2015 26th International Workshop on Database and Expert Systems Applications Database and Expert Systems Applications |
| Record Nr. | UNISA-996280077403316 |
| Piscataway, NJ : , : IEEE, , [2015] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Big Data Analytics and Knowledge Discovery [[electronic resource] ] : 25th International Conference, DaWaK 2023, Penang, Malaysia, August 28–30, 2023, Proceedings / / edited by Robert Wrembel, Johann Gamper, Gabriele Kotsis, A Min Tjoa, Ismail Khalil
| Big Data Analytics and Knowledge Discovery [[electronic resource] ] : 25th International Conference, DaWaK 2023, Penang, Malaysia, August 28–30, 2023, Proceedings / / edited by Robert Wrembel, Johann Gamper, Gabriele Kotsis, A Min Tjoa, Ismail Khalil |
| Autore | Wrembel Robert |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (407 pages) |
| Disciplina |
001.422
005.7 |
| Altri autori (Persone) |
GamperJohann
KotsisGabriele TjoaA. Min KhalilIsmail |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Quantitative research
Data mining Application software Artificial intelligence Data Analysis and Big Data Data Mining and Knowledge Discovery Computer and Information Systems Applications Artificial Intelligence |
| ISBN | 3-031-39831-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- From an Interpretable Predictive Model to a Model Agnostic Explanation (Abstract of Keynote Talk) -- Contents -- Data Quality -- Using Ontologies as Context for Data Warehouse Quality Assessment -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Running Example -- 3.2 Data Warehouse Formal Specification -- 3.3 Context Formal Specification -- 4 Data Warehouse to Ontology Mapping -- 5 Context-Based Data Quality Rules -- 6 Experimentation -- 6.1 Implementation -- 6.2 Validation -- 7 Conclusions and Future Work -- References -- Preventing Technical Errors in Data Lake Analyses with Type Theory -- 1 Introduction -- 2 Related Works -- 3 Type-Theoretical Framework -- 4 Conclusion -- References -- EXOS: Explaining Outliers in Data Streams -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 The Proposed Algorithm: EXOS -- 4.1 Estimator -- 4.2 Temporal Neighbor Clustering -- 4.3 Outlying Attribute Generators -- 5 Evaluation -- 5.1 Experimental Setup -- 5.2 Results and Analysis -- 6 Conclusions -- References -- Motif Alignment for Time Series Data Augmentation -- 1 Introduction -- 2 Preliminaries -- 2.1 Matrix Profile -- 2.2 Pan-Matrix Profile -- 2.3 DTW Alignment for Time Series Data Augmentation -- 3 Proposed Method -- 3.1 Motif Mapping -- 3.2 Time Series Augmentation -- 4 Experimental Evaluation -- 4.1 Setup -- 4.2 Aligning Time Series Using MotifDTW -- 4.3 Performance Gain -- 5 Conclusion -- References -- State-Transition-Aware Anomaly Detection Under Concept Drifts -- 1 Introduction -- 2 Related Works -- 3 Problem Definition -- 3.1 Terminology -- 3.2 Problem Statement -- 4 State-Transition-Aware Anomaly Detection -- 4.1 Reconstruction and Latent Representation Learning -- 4.2 Drift Detection in the Latent Space -- 4.3 State Transition Model -- 5 Experiment -- 5.1 Experiment Setup -- 5.2 Performance.
6 Conclusion -- References -- Anomaly Detection in Financial Transactions Via Graph-Based Feature Aggregations -- 1 Introduction -- 2 Related Work -- 2.1 Graph Embedding -- 2.2 Anomaly Detection -- 3 Problem Formalization -- 4 Proposed Method -- 4.1 PFA: Proximal Feature Aggregation -- 4.2 AFA: Anomaly Feature Aggregation -- 5 Experiment -- 5.1 Experimental Setup -- 5.2 Effectiveness Evaluation -- 5.3 Scalability Evaluation -- 6 Conclusion -- References -- The Synergies of Context and Data Aging in Recommendations -- 1 Introduction -- 2 ALBA: Adding Aging to LookBack Apriori -- 3 Context Modeling -- 4 Evaluation -- 4.1 Contexts -- 4.2 Methodology -- 4.3 Fitbit Validation -- 4.4 Auditel Validation -- 5 Conclusions and Future Work -- References -- Advanced Analytics and Pattern Discovery -- Hypergraph Embedding Based on Random Walk with Adjusted Transition Probabilities -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Notation -- 3.2 Hypergraph Projection -- 3.3 Random Walk and Stationary Distribution -- 3.4 Skip-Gram -- 4 Proposed Method -- 4.1 Random Walk -- 5 Experiment -- 5.1 Transition Probabilities in Steady State -- 5.2 Node Label Estimation -- 5.3 Parameter Dependence of F1 Score -- 6 Conclusion -- References -- Contextual Shift Method (CSM) -- 1 Introduction -- 2 Contextual Shifts -- 3 Contextual Shift Method -- 4 Experiments -- 5 Conclusion -- References -- Utility-Oriented Gradual Itemsets Mining Using High Utility Itemsets Mining -- 1 Introduction -- 2 Preliminary Definitions -- 3 High Utility Gradual Itemsets Mining -- 3.1 Database Encoding -- 3.2 High Utility Gradual Itemsets Extraction -- 4 Experimental Study -- 5 Conclusion -- References -- Discovery of Contrast Itemset with Statistical Background Between Two Continuous Variables -- 1 Introduction -- 2 Contrast ItemSB -- 3 Experimental Results -- 4 Conclusions -- References. DBGAN: A Data Balancing Generative Adversarial Network for Mobility Pattern Recognition -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Reproducing Kernel Hilbert Space Embeddings -- 3.2 Attention Mechanism -- 3.3 Generative Adversarial Network -- 4 DBGAN Mobility Pattern Classification Model -- 4.1 Attributes of Travel Trajectories Utilized for Classification -- 4.2 Sequences to Images with Kernel Embedding -- 4.3 Classification Using Self Attention-Based Generative Adversarial Network -- 5 Evaluation -- 6 Conclusion -- References -- Bitwise Vertical Mining of Minimal Rare Patterns -- 1 Introduction -- 2 Background and Related Works -- 3 Our RP-VIPER Algorithm -- 4 Evaluation -- 5 Conclusions -- References -- Inter-item Time Intervals in Sequential Patterns -- 1 Introduction -- 2 Related Work -- 3 Representing Time in Sequences -- 3.1 Preliminaries -- 3.2 Integrating Intervals in Sequences -- 4 Experiments -- 4.1 Datasets and Models -- 4.2 Results -- 5 Conclusion -- References -- Fair-DSP: Fair Dynamic Survival Prediction on Longitudinal Electronic Health Record -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Fair Dynamic Survival Model -- 3.2 Individual Fairness -- 3.3 Group Fairness -- 4 Experiments -- 4.1 Quantitative Analysis -- 4.2 Sensitivity Study -- 5 Conclusions -- References -- Machine Learning -- DAT@Z21: A Comprehensive Multimodal Dataset for Rumor Classification in Microblogs -- 1 Introduction -- 2 Related Works -- 2.1 Fake Health News Datasets -- 2.2 Fake News Datasets -- 3 Data Collection -- 3.1 News Articles and Ground Truth Collection -- 3.2 Preparing the Tweets Collection -- 3.3 Tweets Collection -- 4 Rumor Classification Using DAT@Z21 -- 4.1 Baselines -- 4.2 Experiment Settings -- 4.3 Experimental Results -- 5 Conclusion and Perspectives -- References. Dealing with Data Bias in Classification: Can Generated Data Ensure Representation and Fairness? -- 1 Introduction -- 2 Related Work -- 3 Measuring Discrimination -- 4 Problem Formulation -- 5 Methodology -- 6 Evaluation -- 6.1 Comparing Pre-processors -- 6.2 Investigating the Fairness-Agnostic Property -- 7 Conclusion -- 8 Discussion and Future Work -- A Proof of Time Complexity -- References -- Random Hypergraph Model Preserving Two-Mode Clustering Coefficient -- 1 Introduction -- 2 Preliminaries -- 3 Extending the Hyper dK-Series to the Case of dv = 2.5+ -- 4 Experiments -- 5 Conclusion -- References -- A Non-overlapping Community Detection Approach Based on -Structural Similarity -- 1 Introduction -- 2 Preliminaries -- 3 A Hierarchical Clustering Approach Based on -Structural Similarity -- 4 Experiments -- 5 Conclusion and Future Work -- A Appendix a -- B Appendix B -- References -- Improving Stochastic Gradient Descent Initializing with Data Summarization -- 1 Introduction -- 2 Definitions -- 2.1 Input Data Set -- 2.2 LR Model -- 3 System and Algorithms -- 3.1 Gamma Summarization () -- 3.2 Mini-batch SGD -- 3.3 Mini-batch SGD Initialization Using Gamma -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Experimental Results -- 5 Related Work -- 6 Conclusions -- References -- Feature Analysis of Regional Behavioral Facilitation Information Based on Source Location and Target People in Disaster -- 1 Introduction -- 2 Related Work -- 3 Basic Concept of RBF Tweet Classification -- 3.1 Extraction of BF Tweets -- 3.2 RBF Tweet Extraction and Classification -- 4 Analysis of RBF Tweets -- 4.1 Training and Test Data -- 4.2 Research Question -- 4.3 Results and Discussion of Research Questions -- 5 Conclusion -- References -- Exploring Dialog Act Recognition in Open Domain Conversational Agents -- 1 Introduction -- 2 Related Works. 3 Proposed Dialog Act Taxonomy -- 3.1 Data Sources -- 4 Proposed Dialog Act Classifier -- 4.1 Experimental Setup -- 4.2 Performance Evaluation -- 4.3 Generalizability of Model -- 5 Conclusion -- References -- UniCausal: Unified Benchmark and Repository for Causal Text Mining -- 1 Introduction -- 2 Related Work -- 2.1 Tasks -- 2.2 Datasets -- 2.3 Other Large Causal Resources -- 3 Methodology -- 3.1 Creation of UniCausal -- 3.2 Baseline Model -- 4 Experiments -- 4.1 Baseline Performance -- 4.2 Impact of Datasets -- 4.3 Adding CauseNet to Investigate the Importance of Linguistic Variation in Examples -- 5 Conclusion -- References -- Deep Learning -- Accounting for Imputation Uncertainty During Neural Network Training -- 1 Introduction -- 2 Related Works -- 3 Contributions -- 3.1 Single-Hotpatching -- 3.2 Multiple-Hotpatching -- 4 Experiments -- 4.1 Experimental Protocol -- 4.2 Results -- 5 Discussion and Conclusion -- References -- Supervised Hybrid Model for Rumor Classification: A Comparative Study of Machine and Deep Learning Approaches -- 1 Introduction -- 2 Related Work -- 3 Datasets and Preprocessing -- 4 Implementation -- 4.1 Traditional ML Approaches -- 4.2 DL Approaches -- 4.3 The Ensemble Stack ML Model -- 4.4 The Hybrid ML-DL Model -- 5 Results and Analysis -- 6 Conclusion and Future Work -- References -- Attention-Based Counterfactual Explanation for Multivariate Time Series -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Notation -- 3.2 Proposed Method -- 4 Experiments -- 4.1 Datasets -- 4.2 Baseline Methods -- 4.3 Experimental Result -- 5 Conclusion -- References -- DRUM: A Real Time Detector for Regime Shifts in Data Streams via an Unsupervised, Multivariate Framework -- 1 Introduction -- 2 Related Work -- 3 DRUM -- 4 Evaluation -- 5 Conclusion -- References. Hierarchical Graph Neural Network with Cross-Attention for Cross-Device User Matching. |
| Record Nr. | UNISA-996546854503316 |
Wrembel Robert
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Big Data Analytics and Knowledge Discovery : 25th International Conference, DaWaK 2023, Penang, Malaysia, August 28–30, 2023, Proceedings / / edited by Robert Wrembel, Johann Gamper, Gabriele Kotsis, A Min Tjoa, Ismail Khalil
| Big Data Analytics and Knowledge Discovery : 25th International Conference, DaWaK 2023, Penang, Malaysia, August 28–30, 2023, Proceedings / / edited by Robert Wrembel, Johann Gamper, Gabriele Kotsis, A Min Tjoa, Ismail Khalil |
| Autore | Wrembel Robert |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (407 pages) |
| Disciplina |
001.422
005.7 005.745 |
| Altri autori (Persone) |
GamperJohann
KotsisGabriele TjoaA. Min KhalilIsmail |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Quantitative research
Data mining Application software Artificial intelligence Data Analysis and Big Data Data Mining and Knowledge Discovery Computer and Information Systems Applications Artificial Intelligence |
| ISBN | 3-031-39831-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- From an Interpretable Predictive Model to a Model Agnostic Explanation (Abstract of Keynote Talk) -- Contents -- Data Quality -- Using Ontologies as Context for Data Warehouse Quality Assessment -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Running Example -- 3.2 Data Warehouse Formal Specification -- 3.3 Context Formal Specification -- 4 Data Warehouse to Ontology Mapping -- 5 Context-Based Data Quality Rules -- 6 Experimentation -- 6.1 Implementation -- 6.2 Validation -- 7 Conclusions and Future Work -- References -- Preventing Technical Errors in Data Lake Analyses with Type Theory -- 1 Introduction -- 2 Related Works -- 3 Type-Theoretical Framework -- 4 Conclusion -- References -- EXOS: Explaining Outliers in Data Streams -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 The Proposed Algorithm: EXOS -- 4.1 Estimator -- 4.2 Temporal Neighbor Clustering -- 4.3 Outlying Attribute Generators -- 5 Evaluation -- 5.1 Experimental Setup -- 5.2 Results and Analysis -- 6 Conclusions -- References -- Motif Alignment for Time Series Data Augmentation -- 1 Introduction -- 2 Preliminaries -- 2.1 Matrix Profile -- 2.2 Pan-Matrix Profile -- 2.3 DTW Alignment for Time Series Data Augmentation -- 3 Proposed Method -- 3.1 Motif Mapping -- 3.2 Time Series Augmentation -- 4 Experimental Evaluation -- 4.1 Setup -- 4.2 Aligning Time Series Using MotifDTW -- 4.3 Performance Gain -- 5 Conclusion -- References -- State-Transition-Aware Anomaly Detection Under Concept Drifts -- 1 Introduction -- 2 Related Works -- 3 Problem Definition -- 3.1 Terminology -- 3.2 Problem Statement -- 4 State-Transition-Aware Anomaly Detection -- 4.1 Reconstruction and Latent Representation Learning -- 4.2 Drift Detection in the Latent Space -- 4.3 State Transition Model -- 5 Experiment -- 5.1 Experiment Setup -- 5.2 Performance.
6 Conclusion -- References -- Anomaly Detection in Financial Transactions Via Graph-Based Feature Aggregations -- 1 Introduction -- 2 Related Work -- 2.1 Graph Embedding -- 2.2 Anomaly Detection -- 3 Problem Formalization -- 4 Proposed Method -- 4.1 PFA: Proximal Feature Aggregation -- 4.2 AFA: Anomaly Feature Aggregation -- 5 Experiment -- 5.1 Experimental Setup -- 5.2 Effectiveness Evaluation -- 5.3 Scalability Evaluation -- 6 Conclusion -- References -- The Synergies of Context and Data Aging in Recommendations -- 1 Introduction -- 2 ALBA: Adding Aging to LookBack Apriori -- 3 Context Modeling -- 4 Evaluation -- 4.1 Contexts -- 4.2 Methodology -- 4.3 Fitbit Validation -- 4.4 Auditel Validation -- 5 Conclusions and Future Work -- References -- Advanced Analytics and Pattern Discovery -- Hypergraph Embedding Based on Random Walk with Adjusted Transition Probabilities -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Notation -- 3.2 Hypergraph Projection -- 3.3 Random Walk and Stationary Distribution -- 3.4 Skip-Gram -- 4 Proposed Method -- 4.1 Random Walk -- 5 Experiment -- 5.1 Transition Probabilities in Steady State -- 5.2 Node Label Estimation -- 5.3 Parameter Dependence of F1 Score -- 6 Conclusion -- References -- Contextual Shift Method (CSM) -- 1 Introduction -- 2 Contextual Shifts -- 3 Contextual Shift Method -- 4 Experiments -- 5 Conclusion -- References -- Utility-Oriented Gradual Itemsets Mining Using High Utility Itemsets Mining -- 1 Introduction -- 2 Preliminary Definitions -- 3 High Utility Gradual Itemsets Mining -- 3.1 Database Encoding -- 3.2 High Utility Gradual Itemsets Extraction -- 4 Experimental Study -- 5 Conclusion -- References -- Discovery of Contrast Itemset with Statistical Background Between Two Continuous Variables -- 1 Introduction -- 2 Contrast ItemSB -- 3 Experimental Results -- 4 Conclusions -- References. DBGAN: A Data Balancing Generative Adversarial Network for Mobility Pattern Recognition -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Reproducing Kernel Hilbert Space Embeddings -- 3.2 Attention Mechanism -- 3.3 Generative Adversarial Network -- 4 DBGAN Mobility Pattern Classification Model -- 4.1 Attributes of Travel Trajectories Utilized for Classification -- 4.2 Sequences to Images with Kernel Embedding -- 4.3 Classification Using Self Attention-Based Generative Adversarial Network -- 5 Evaluation -- 6 Conclusion -- References -- Bitwise Vertical Mining of Minimal Rare Patterns -- 1 Introduction -- 2 Background and Related Works -- 3 Our RP-VIPER Algorithm -- 4 Evaluation -- 5 Conclusions -- References -- Inter-item Time Intervals in Sequential Patterns -- 1 Introduction -- 2 Related Work -- 3 Representing Time in Sequences -- 3.1 Preliminaries -- 3.2 Integrating Intervals in Sequences -- 4 Experiments -- 4.1 Datasets and Models -- 4.2 Results -- 5 Conclusion -- References -- Fair-DSP: Fair Dynamic Survival Prediction on Longitudinal Electronic Health Record -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Fair Dynamic Survival Model -- 3.2 Individual Fairness -- 3.3 Group Fairness -- 4 Experiments -- 4.1 Quantitative Analysis -- 4.2 Sensitivity Study -- 5 Conclusions -- References -- Machine Learning -- DAT@Z21: A Comprehensive Multimodal Dataset for Rumor Classification in Microblogs -- 1 Introduction -- 2 Related Works -- 2.1 Fake Health News Datasets -- 2.2 Fake News Datasets -- 3 Data Collection -- 3.1 News Articles and Ground Truth Collection -- 3.2 Preparing the Tweets Collection -- 3.3 Tweets Collection -- 4 Rumor Classification Using DAT@Z21 -- 4.1 Baselines -- 4.2 Experiment Settings -- 4.3 Experimental Results -- 5 Conclusion and Perspectives -- References. Dealing with Data Bias in Classification: Can Generated Data Ensure Representation and Fairness? -- 1 Introduction -- 2 Related Work -- 3 Measuring Discrimination -- 4 Problem Formulation -- 5 Methodology -- 6 Evaluation -- 6.1 Comparing Pre-processors -- 6.2 Investigating the Fairness-Agnostic Property -- 7 Conclusion -- 8 Discussion and Future Work -- A Proof of Time Complexity -- References -- Random Hypergraph Model Preserving Two-Mode Clustering Coefficient -- 1 Introduction -- 2 Preliminaries -- 3 Extending the Hyper dK-Series to the Case of dv = 2.5+ -- 4 Experiments -- 5 Conclusion -- References -- A Non-overlapping Community Detection Approach Based on -Structural Similarity -- 1 Introduction -- 2 Preliminaries -- 3 A Hierarchical Clustering Approach Based on -Structural Similarity -- 4 Experiments -- 5 Conclusion and Future Work -- A Appendix a -- B Appendix B -- References -- Improving Stochastic Gradient Descent Initializing with Data Summarization -- 1 Introduction -- 2 Definitions -- 2.1 Input Data Set -- 2.2 LR Model -- 3 System and Algorithms -- 3.1 Gamma Summarization () -- 3.2 Mini-batch SGD -- 3.3 Mini-batch SGD Initialization Using Gamma -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Experimental Results -- 5 Related Work -- 6 Conclusions -- References -- Feature Analysis of Regional Behavioral Facilitation Information Based on Source Location and Target People in Disaster -- 1 Introduction -- 2 Related Work -- 3 Basic Concept of RBF Tweet Classification -- 3.1 Extraction of BF Tweets -- 3.2 RBF Tweet Extraction and Classification -- 4 Analysis of RBF Tweets -- 4.1 Training and Test Data -- 4.2 Research Question -- 4.3 Results and Discussion of Research Questions -- 5 Conclusion -- References -- Exploring Dialog Act Recognition in Open Domain Conversational Agents -- 1 Introduction -- 2 Related Works. 3 Proposed Dialog Act Taxonomy -- 3.1 Data Sources -- 4 Proposed Dialog Act Classifier -- 4.1 Experimental Setup -- 4.2 Performance Evaluation -- 4.3 Generalizability of Model -- 5 Conclusion -- References -- UniCausal: Unified Benchmark and Repository for Causal Text Mining -- 1 Introduction -- 2 Related Work -- 2.1 Tasks -- 2.2 Datasets -- 2.3 Other Large Causal Resources -- 3 Methodology -- 3.1 Creation of UniCausal -- 3.2 Baseline Model -- 4 Experiments -- 4.1 Baseline Performance -- 4.2 Impact of Datasets -- 4.3 Adding CauseNet to Investigate the Importance of Linguistic Variation in Examples -- 5 Conclusion -- References -- Deep Learning -- Accounting for Imputation Uncertainty During Neural Network Training -- 1 Introduction -- 2 Related Works -- 3 Contributions -- 3.1 Single-Hotpatching -- 3.2 Multiple-Hotpatching -- 4 Experiments -- 4.1 Experimental Protocol -- 4.2 Results -- 5 Discussion and Conclusion -- References -- Supervised Hybrid Model for Rumor Classification: A Comparative Study of Machine and Deep Learning Approaches -- 1 Introduction -- 2 Related Work -- 3 Datasets and Preprocessing -- 4 Implementation -- 4.1 Traditional ML Approaches -- 4.2 DL Approaches -- 4.3 The Ensemble Stack ML Model -- 4.4 The Hybrid ML-DL Model -- 5 Results and Analysis -- 6 Conclusion and Future Work -- References -- Attention-Based Counterfactual Explanation for Multivariate Time Series -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Notation -- 3.2 Proposed Method -- 4 Experiments -- 4.1 Datasets -- 4.2 Baseline Methods -- 4.3 Experimental Result -- 5 Conclusion -- References -- DRUM: A Real Time Detector for Regime Shifts in Data Streams via an Unsupervised, Multivariate Framework -- 1 Introduction -- 2 Related Work -- 3 DRUM -- 4 Evaluation -- 5 Conclusion -- References. Hierarchical Graph Neural Network with Cross-Attention for Cross-Device User Matching. |
| Record Nr. | UNINA-9910741143403321 |
|
Wrembel Robert
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| 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 |
|
Strauss Christine
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
