| Description |
1 online resource : illustrations (chiefly color) |
| Series |
Lecture notes in computer science ; 13245 |
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Lecture notes in computer science ; 13245.
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| Contents |
Intro -- General Chairs' Preface -- Program Chairs' Preface -- Organization -- Contents - Part I -- Contents - Part II -- Contents - Part III -- Database Queries -- Approximate Continuous Top-K Queries over Memory Limitation-Based Streaming Data -- 1 Introduction -- 2 Preliminary -- 2.1 Related Works -- 2.2 Problem Definition -- 2.3 The Algorithm S-Merge -- 3 The Framework -TOPK -- 3.1 The -MSET -- 3.2 The Incremental Maintenance Algorithms -- 3.3 The Optimization Incremental Maintenance Algorithms -- 4 The Experiment -- 4.1 Experiment Settings -- 4.2 The Performance Evaluation |
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5 Conclusion -- References -- Cross-Model Conjunctive Queries over Relation and Tree-Structured Data -- 1 Introduction -- 2 Preliminary -- 3 Approach -- 3.1 Tree and Relational Data Representation -- 3.2 Challenges -- 3.3 Cross-Model Join (CMJoin) Algorithm -- 4 Evaluation -- 4.1 Evaluation Setup -- 5 Related Work -- 6 Conclusion and Future Work -- References -- Leveraging Search History for Improving Person-Job Fit -- 1 Introduction -- 2 Related Work -- 3 Problem Definition -- 4 The Proposed Approach -- 4.1 Text Matching Component -- 4.2 Intention Modeling Component |
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4.3 Prediction and Optimization -- 5 Experiments -- 5.1 Experimental Setup -- 5.2 The Overall Comparison -- 5.3 Evaluation in Different Skill Groups -- 5.4 Ablation Study -- 5.5 Performance Tuning -- 5.6 Qualitative Analysis -- 6 Conclusion -- References -- Efficient In-Memory Evaluation of Reachability Graph Pattern Queries on Data Graphs -- 1 Introduction -- 2 Preliminaries and Problem Definition -- 3 Query Reachability Graph -- 4 A Graph Traversal Filtering Algorithm -- 5 A Join-Based Query Occurrence Enumeration Algorithm -- 6 Experimental Evaluation -- 6.1 Setup -- 6.2 Performance Results |
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6.3 Comparison with Graph DB Systems -- 7 Related Work -- 8 Conclusion -- References -- Revisiting Approximate Query Processing and Bootstrap Error Estimation on GPU -- 1 Introduction -- 2 Preliminary -- 2.1 AQP and Bootstrap -- 2.2 Two Approximate Query Processing Models with GPU -- 3 AQP and Bootstrap-Based Error Estimation on GPU -- 3.1 Coprocessor Model -- 3.2 Main Processor Model -- 4 Advanced Optimization -- 4.1 One-Step Calculation -- 4.2 Count Sampling -- 4.3 One-Time Hashtable Building -- 5 Experiments -- 5.1 Experiment Setup -- 5.2 Performance Comparison -- 5.3 Factor Analysis |
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6 Related Work -- 7 Conclusion -- References -- join: Efficient Join with Versioned Dimension Tables -- 1 Introduction -- 2 Join with Multiple Versions of Dimension Tables -- 3 The -join Operator -- 4 Evaluation -- 5 Related Work -- 6 Conclusion -- References -- Learning-Based Optimization for Online Approximate Query Processing -- 1 Introduction -- 2 Approximate Query Optimization -- 3 Deep Learning-Based Error Prediction Model -- 4 Experiment -- 5 Related Work -- 6 Conclusion -- References -- Knowledge Bases -- Triple-as-Node Knowledge Graph and Its Embeddings -- 1 Introduction |
| Summary |
The three-volume set LNCS 13245, 13246 and 13247 constitutes the proceedings of the 26th International Conference on Database Systems for Advanced Applications, DASFAA 2022, held online, in April 2021. The total of 72 full papers, along with 76 short papers, are presented in this three-volume set was carefully reviewed and selected from 543 submissions. Additionally, 13 industrial papers, 9 demo papers and 2 PhD consortium papers are included. The conference was planned to take place in Hyderabad, India, but it was held virtually due to the COVID-19 pandemic |
| Notes |
Conference proceedings |
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Includes author index |
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Print version record |
| Subject |
Database management -- Congresses
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Data mining -- Congresses
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Data mining
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Database management
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| Genre/Form |
Electronic books
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proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Bhattacharya, Arnab (Computer scientist), editor.
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| ISBN |
9783031001239 |
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3031001230 |
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