Info
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 : 27th International Conference, DaWaK 2025, Bangkok, Thailand, August 25–27, 2025, Proceedings / / edited by Carson K. Leung, Anton Dignös, Gabriele Kotsis, A. Min Tjoa, Ismail Khalil
| Big Data Analytics and Knowledge Discovery : 27th International Conference, DaWaK 2025, Bangkok, Thailand, August 25–27, 2025, Proceedings / / edited by Carson K. Leung, Anton Dignös, Gabriele Kotsis, A. Min Tjoa, Ismail Khalil |
| Autore | Leung Carson K |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (571 pages) |
| Disciplina | 006.312 |
| Altri autori (Persone) |
DignösAnton
KotsisGabriele TjoaA. Min KhalilIsmail |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Data mining
Application software Artificial intelligence Data Mining and Knowledge Discovery Computer and Information Systems Applications Artificial Intelligence |
| ISBN | 3-032-02215-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Keynote Talk. -- Sparse Matrix Algorithms for Evolving Neural Networks. -- Invited Talk. -- Data integration in the AI era: research trends and still open issues. -- Tutorial. -- Leveraging machine learning techniques for customer data deduplication-hard-won lessons from a real-world project in the financial industry, -- Data mining and knowledge discovery. -- FairFES - Fast Exact Sampling for Fair Classification. -- Autism Detection by Analyzing Handwriting Characteristics of Chinese Characters via Deep Learning Models. -- FNoDe: Faulty Node Detection in Microservices Architecture. -- An Enhanced FP-Growth Algorithm with Hybrid Adaptive Support Threshold for Association Rule Mining. -- Sequential data analytics and recommendation systems. -- Entity Resolution for Streaming Data with Embeddings. -- Cross-Modal Sequential Point-of-Interest Recommendation with Lightweight Hybrid Fusion Strategy. -- Alternatives to Shallow Autoencoders for Collaborative Filtering. -- Accurate Concept Drift Detection without Updating Autoencoders. -- Graph data processing and analytics. -- Parallel and Distributed SQL/PGQ Query Processing for Property Graphs. -- Graph Constraint Language for Industrial Knowledge Graphs and Machine Learning. -- SemViSG : Semantic Enrichment and Visualization of Software Graphs. -- Data management and Indices. -- Certainty Attacks Using Explainability Preprocessing. -- Integrating Bitcoin Transactions into Relational Databases for IoT: Challenges and Solutions. -- Effects of Response Length on User Search Experience in Spoken Conversational Search. -- Fair Proportional Top-k Ranking. -- PAID: Power-efficient AI-optimized Databases. -- On the Costs and Benefits of Learned Indexing for Dynamic High-Dimensional Data. -- A Bayesian Reinforcement Learning Framework for Online Index Tuning. -- Large language models (LLMs). -- Explaining Recovery Trajectories of Older Adults Post Lower-Limb Fracture Using Modality-wise Multiview Clustering and Large Language Models. -- Parameter Drift as a Signal for Membership Inference in Overfit-Tuned LLMs. -- MicroSuggest: Kernel-Aware Microservice Decomposition. -- TraceTune: Targeted Fine-Tuning of Attention Heads for Text-to-SQL. -- Neural networks. -- ONNYX : Optimized Neural Networks Yielding eXplainable insights from ECG signals-based data streams. -- SpaPool: Soft Partition Assignment Pooling for Graph Neural Networks. -- Prediction of iterative solvers' convergence using pretraining by natural images. -- Local-aware Convolutional Modulation for Short-Term Sequential Recommendation. |
| Record Nr. | UNISA-996673177903316 |
Leung Carson K
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 | ||
| 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 |
9783031398315
3031398319 |
| 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 | ||
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Database and Expert Systems Applications : 35th International Conference, DEXA 2024, Naples, Italy, August 26–28, 2024, Proceedings, Part I / / edited by Christine Strauss, Toshiyuki Amagasa, Giuseppe Manco, Gabriele Kotsis, A Min Tjoa, Ismail Khalil
| Database and Expert Systems Applications : 35th International Conference, DEXA 2024, Naples, Italy, August 26–28, 2024, Proceedings, Part I / / edited by Christine Strauss, Toshiyuki Amagasa, Giuseppe Manco, Gabriele Kotsis, A Min Tjoa, Ismail Khalil |
| Autore | Strauss Christine |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (289 pages) |
| Disciplina | 005.74 |
| Altri autori (Persone) |
AmagasaToshiyuki
MancoGiuseppe KotsisGabriele TjoaA. Min KhalilIsmail |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Database management
Artificial intelligence Information technology - Management Software engineering Information storage and retrieval systems Data mining Database Management Artificial Intelligence Computer Application in Administrative Data Processing Software Engineering Information Storage and Retrieval Data Mining and Knowledge Discovery |
| ISBN |
9783031683091
9783031683084 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Abstracts of Keynote Talks -- Multimodal Deep Learning in Medical Imaging -- Digital Humanism as an Enabler for a Holistic Socio-Technical Approach to the Latest Developments in Computer Science and Artificial Intelligence -- Deep Entity Processing in the Era of Large Language Models: Challenges and Opportunities -- Contents - Part I -- Contents - Part II -- Financial and Economic Data Analysis -- CSPRD: A Financial Policy Retrieval Dataset for Chinese Stock Market -- 1 Introduction -- 2 Related Work -- 2.1 Retrieval Augmented Generation -- 2.2 Dense Retrievers -- 2.3 Specialised Financial Datasets -- 3 The Policy Retrieval Dataset for Stock Market in China -- 3.1 Data Collection -- 3.2 Data Processing -- 3.3 Unsupervised MoE Selection -- 3.4 Expert Annotation -- 3.5 Dataset Release -- 4 CSPR-MQA Pre-training -- 4.1 Data Preprocessing -- 4.2 Encoding -- 4.3 Decoding -- 5 Experiments -- 5.1 Models -- 5.2 Evaluation Metrics -- 5.3 Results and Analysis -- 6 Limitations -- 6.1 Compromise Between Labor Costs and Decision Comprehensiveness -- 6.2 Limited Experiments on Pre-Trained Language Models -- 7 Conclusion -- References -- Leveraging Heterogeneous Text Data for Reinforcement Learning-Based Stock Trading Strategies -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Terms -- 3.2 Problem Definition -- 3.3 Base Model -- 4 Proposed Method -- 4.1 Encording -- 4.2 Feature Generation -- 4.3 Action Determination -- 5 Experiment -- 5.1 Datasets -- 5.2 Experimental Setup -- 5.3 Experimental Results -- 5.4 Comparison with Index-Based Method -- 5.5 Effects of Periods and Initial Assets -- 6 Conclusion -- References -- TCMIDP: A Comprehensive Database of Traditional Chinese Medicine for Network Pharmacology Research -- 1 Introduction -- 2 Database Contents and Access -- 3 Data Mining -- 4 User Evaluation.
5 Conclusion -- References -- Graph Theory and Network Analysis -- Fast Subgraph Search with Graph Code Indices -- 1 Introduction -- 2 Preliminaries -- 3 Related Work -- 4 Basic Concept of the Proposed Method -- 5 Graph Representation and Indexing of Databases -- 6 Subgraph Search with the Code Tree -- 7 Experimental Evaluation -- 7.1 Experimental Settings -- 7.2 Experimental Results -- 8 Conclusion -- References -- Completing Predicates Based on Alignment Rules from Knowledge Graphs -- 1 Introduction -- 2 Motivating Example -- 3 The SYRUP Approach -- 4 Experimental Study -- 5 Related Work -- 6 Conclusions and Future Work -- References -- Enriching Hierarchical Navigable Small World Searches with Result Diversification -- 1 Introduction -- 2 Preliminaries and Related Work -- 3 Material and Methods -- 4 Empirical Evaluation -- 5 Conclusions -- References -- An Efficient Indexing Method for Dynamic Graph kNN -- 1 Introduction -- 1.1 Existing Approaches and Challenges -- 1.2 Our Approaches and Contributions -- 2 Preliminary -- 2.1 Problem Definition -- 2.2 Previous Method: CT Index -- 3 Proposed Method: Dynamic CT -- 3.1 Ideas -- 3.2 Adding Nodes and Edges -- 3.3 Removing Nodes and Edges -- 3.4 Complexity Analysis -- 4 Experimental Evaluation -- 4.1 Efficiency for Updating -- 4.2 Efficiency for Adding/Removing Edges -- 5 Conclusion -- References -- Database Management and Query Optimization -- Improving the Accuracy of Text-to-SQL Tools Based on Large Language Models for Real-World Relational Databases -- 1 Introduction -- 2 Related Work -- 3 A Real-World Benchmark for the Text-to-SQL Task -- 3.1 The Real-World Relational Database -- 3.2 The Sets of Views -- 3.3 The Test Questions and Their Ground Truth SQL Translations -- 4 The Proposed RAG-Based Technique -- 4.1 Generation of the Synthetic Dataset -- 4.2 The Proposed RAG-Based Techniques. 5 Experiments with an RW-RDB -- 5.1 Experimental Setup -- 5.2 Results -- 6 Experiments with Mondial -- 7 Conclusions -- References -- QPSEncoder: A Database Workload Encoder with Deep Learning -- 1 Introduction -- 2 Related Work -- 3 QPSEncoder Framework -- 3.1 Physical Plan Encoding -- 3.2 SQL Query Encoding -- 3.3 Database Schema Encoding -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Effectiveness of QPSEncoder on Numeric Predicates. -- 4.3 Effectiveness of QPSEncoder on Mixed Predicates. -- 4.4 Effectiveness of Model Components -- 5 Conclusion -- References -- Efficient Random Sampling from Very Large Databases -- 1 Introduction -- 2 Related Work -- 3 The Proposed Algorithms -- 3.1 Random Sampling in B+Tree of Height Three -- 3.2 Random Sampling in B+Tree of Height Four -- 3.3 Generalization to Any B+Tree Height -- 4 Analysis -- 5 Simulation Study -- 5.1 Experiments Framework -- 5.2 Experiments Setup -- 5.3 Implementation Details -- 5.4 Results -- 6 Summary and Future Work -- References -- SQL-to-Schema Enhances Schema Linking in Text-to-SQL -- 1 Introduction -- 2 Related Work -- 2.1 Customized Machine Learning Fine-Tuned Methods -- 2.2 Stimulating General LLM with Prompting -- 3 Methodology -- 3.1 Evaluation Metrics -- 3.2 Introduction to Each Module -- 4 Experiments and Analysis -- 4.1 Experiment One -- 4.2 Experiment Two -- 4.3 Experiment Three -- 5 Conclusion -- References -- Efficient Algorithms for Top-k Stabbing Queries on Weighted Interval Data -- 1 Introduction -- 2 Preliminary -- 3 Algorithm Based on Interval Forest -- 3.1 Data Structure and Construction -- 3.2 Query Processing Algorithm -- 4 Algorithm Based on a Variant of Segment Tree -- 4.1 Variant of Segment Tree and Its Construction -- 4.2 Query Processing Algorithm -- 5 Conclusion -- References -- A Hierarchical Storage Mechanism for Hot and Cold Data Based on Temperature Model. 1 Introduction -- 2 Related Work -- 3 System Architecture -- 3.1 Data Temperature Model -- 3.2 Data Hierarchical Storage Mechanism -- 4 Experimentation and Analysis -- 4.1 Experimental Environment and Configuration -- 4.2 Experiment on Local Hot and Cold Data Migration Management -- 4.3 Experiment on Local and Remote Data Migration Management -- 5 Conclusion -- References -- Machine Learning and Large Language Models -- A Pre-trained Knowledge Tracing Model with Limited Data -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Transformer-Based Knowledge Tracing Model -- 3.2 BERT-Based Knowledge Tracing Model -- 4 Experiments -- 4.1 Datasets -- 4.2 Experimental Setup -- 4.3 Experiment Results and Analysis -- 5 Conclusions and Future Work -- References -- Chorus: More Efficient Machine Learning on Serverless Platform -- 1 Introduction -- 2 Background and Motivation -- 3 Lambda Synchronous Parallel (LSP) Model -- 4 Buffering in Parameter Server Model -- 5 Design of Chorus -- 5.1 Architecture Overview -- 6 Evaluation -- 6.1 Methodology -- 6.2 Lambda Synchronous Parallel (LSP) Model -- 6.3 Buffering System -- 6.4 Comparison -- 7 Conclusion -- References -- Evaluating Performance of LLaMA2 Large Language Model Enhanced by QLoRA Fine-Tuning for English Grammatical Error Correction -- 1 Introduction -- 2 Related Work -- 2.1 Grammar Error Correction -- 2.2 LLaMA2 Large Language Model -- 3 Methodology -- 3.1 Data Preparation -- 3.2 Prompts and Learning Strategies -- 3.3 Parameter Efficient Fine-Tuning via QLoRA -- 4 Experiments -- 4.1 Text Generation Settings -- 4.2 Parameter Settings of Training -- 4.3 Experimental Results -- 4.4 Error Type Analysis -- 4.5 Performance Evaluation of Open Source Language Tools -- 5 Conclusion -- References -- A Label Embedding Algorithm Based on Maximizing Normalized Cross-Covariance Operator -- 1 Introduction. 2 Preliminaries -- 3 The Proposed Method -- 4 Experiments -- 4.1 Benchmark Data Sets and Evaluation Metrics -- 4.2 Compared Methods and Experimental Settings -- 4.3 Performance Evaluation and Analysis -- 5 Conclusion -- References -- Analyzing the Efficacy of Large Language Models: A Comparative Study -- 1 Introduction -- 2 Literature Review -- 3 Datasets and Preprocessing -- 3.1 Dataset Construction by Question-Answer Pair Generation -- 3.2 Fine-Tuning the LLM -- 3.3 Document Parsing and Text Comprehension -- 4 Methodology -- 4.1 Integrated Evaluation: BLEU, ROUGE, and Cosine Similarity -- 4.2 Accuracy Assessment Through Z-Score Outlier Detection -- 5 Observations and Results -- 5.1 Classification of Errors -- 5.2 Comparison of Performance of Our Framework -- 6 Conclusion and Future Directions -- References -- Leveraging Large Language Models for Flexible and Robust Table-to-Text Generation -- 1 Introduction -- 2 Related Work -- 3 Methods and Experiment Settings -- 4 Experiments Results -- 5 Conclusion -- References -- Recommender Systems and Personalization -- Collaborative Filtering for the Imputation of Patient Reported Outcomes -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 MDASI-HN Data -- 3.2 Collaborative Filtering (CF) for MDASI-HN -- 4 Evaluation -- 4.1 Evaluation Metrics: -- 5 Experimental Results -- 5.1 Experimental Setup -- 5.2 Data Statistics -- 5.3 CF Techniques Comparison -- 5.4 Effect of k on CF-SYM-PCC Imputation -- 5.5 Comparing CF-SYM-PCC Against Other Methods -- 5.6 Comparing CF-SYM-PCC and LI Techniques Per Symptom -- 5.7 PCC Correlation Symptom Clusters -- 6 Conclusion -- References -- Category-Aware Sequential Recommendation with Time Intervals of Purchases -- 1 Introduction -- 2 Method -- 2.1 Problem Setup -- 2.2 Category and Time Interval Aware Sequence Recommendation -- 2.3 Framework of the Dual Model. 3 Performance Evaluation. |
| Record Nr. | UNINA-9910881098903321 |
|
Strauss Christine
|
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Database and Expert Systems Applications : 35th International Conference, DEXA 2024, Naples, Italy, August 26–28, 2024, Proceedings, Part II / / edited by Christine Strauss, Toshiyuki Amagasa, Giuseppe Manco, Gabriele Kotsis, A Min Tjoa, Ismail Khalil
| Database and Expert Systems Applications : 35th International Conference, DEXA 2024, Naples, Italy, August 26–28, 2024, Proceedings, Part II / / edited by Christine Strauss, Toshiyuki Amagasa, Giuseppe Manco, Gabriele Kotsis, A Min Tjoa, Ismail Khalil |
| Autore | Strauss Christine |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (337 pages) |
| Disciplina | 005.74 |
| Altri autori (Persone) |
AmagasaToshiyuki
MancoGiuseppe KotsisGabriele TjoaA. Min KhalilIsmail |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Database management
Artificial intelligence Information technology - Management Software engineering Information storage and retrieval systems Data mining Database Management Artificial Intelligence Computer Application in Administrative Data Processing Software Engineering Information Storage and Retrieval Data Mining and Knowledge Discovery |
| ISBN |
9783031683121
9783031683114 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910881087703321 |
|
Strauss Christine
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Database and Expert Systems Applications [[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
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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