Database and expert systems applications : 31st International Conference, DEXA 2020, Bratislava, Czech Republic, September 14-17, 2020, Proceedings.: 31st International Conference, DEXA 2020, Bratislava, Czech Republic, September 14-17, 2020, Proceedings. Part I (2020)

• Record Type: Book
• Other Titles: DEXA 2020
• Further Information: Note: Sven Hartmann, Josef Küng, Gabriele Kotsis, A Min Tjoa, Ismail Khalil (eds.).
• Other Names: Hartmann, Sven, 1969-; Küng, Josef, 1962-; Kotsis, Gabriele, 1967-; Tjoa, A Min; Khalil, Ismail, 1960-; Database and Expert Systems Applications Conference, 31st, author
• Contents: Intro -- Preface -- Organization -- Abstracts of Keynote Talks -- Knowledge Graph for Drug Discovery -- Incremental Learning and Learning with Drift -- From Sensors to Dempster-Shafer Theory and Back: The Axiom of Ambiguous Sensor Correctness and Its Applications -- Knowledge Availability and Information Literacies -- Explainable Fact Checking for Statistical and Property Claims -- "How Many Apples?" or the Age of Science-Making Machines (Panel) -- Contents -- Part I -- Contents -- Part II -- Keynote Paper From Sensors to Dempster-Shafer Theory and Back: The Axiom of Ambiguous Sensor Correctness and Its Applications -- 1 Introduction -- 2 Ambiguous-but-Correct Perception -- 2.1 A Simple Signal/Sensor Example -- 2.2 Generalizing from Signals/Sensors -- 3 Dempster Models and Dempster-Shafer Theory -- 4 The Axiom of Ambiguous Sensor Correctness -- 4.1 -Perception Models -- 4.2 Certainties and Possibilities -- 5 The Exact Relationship of Quantities and Perceptions -- 6 Certainty and Possibility as Optimal Estimates -- 7 Knowledge Fusion -- 8 Conclusion -- References -- Big Data Management and Analytics A Graph Partitioning Algorithm for Edge or Vertex Balance -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 B-GRAP Algorithm -- 4.1 Initialization Optimization -- 4.2 Balanced Partitioning -- 5 Partitioning Evaluation Measures -- 6 Experiments -- 6.1 Data Sets Description and Experiment Settings -- 6.2 B-GRAP Vertex Balance -- 6.3 B-GRAP Edge Balance -- 7 Conclusion and Perspectives -- References -- DSCAN: Distributed Structural Graph Clustering for Billion-Edge Graphs -- 1 Introduction -- 1.1 Existing Works and Challenges -- 1.2 Our Approaches and Contributions 2 Baseline Method: SCAN -- 3 Proposed Method: DSCAN -- 3.1 Overview of DSCAN Algorithm -- 3.2 Skewness-Aware Edge-Pruning -- 3.3 Local Clustering -- 3.4 Cluster Construction -- 4 Experimental Analysis -- 4.1 Experimental Setup -- 4.2 Efficiency -- 4.3 Scalability -- 4.4 Exactness of Clustering Results -- 5 Related Work -- 6 Conclusion -- References -- Accelerating All 5-Vertex Subgraphs Counting Using GPUs -- 1 Introduction -- 2 GPU Computing -- 2.1 NVIDIA GPU -- 2.2 OpenACC -- 3 Preliminaries -- 3.1 Problem Statement -- 3.2 ESCAPE -- 4 Proposed Method -- 4.1 Data Structure 4.2 Counting Algorithm -- 4.3 Handling Huge Graphs -- 5 Experiments -- 5.1 Experimental Setup -- 5.2 Dataset -- 5.3 Experimental Results -- 5.4 Bottleneck Analysis -- 6 Related Work -- 6.1 Approximate Methods -- 7 Conclusion -- A Counting Other Subgraphs -- References -- PhoeniQ: Failure-Tolerant Query Processing in Multi-node Environments -- 1 Introduction -- 2 Overview of PhoeniQ -- 3 Execution Mechanism of PhoeniQ -- 3.1 Package-Level Checkpointing of Operator Execution States -- 3.2 Operator Output Replication Among Different Processing Nodes -- 3.3 Tuple Tagging for Package-Level Commit
• Publisher Details: Cham : Springer
• Publication Date: 2020
• Extent: 1 online resource
• Subjects: 005.74; Database management -- Congresses; Expert systems (Computer science) -- Congresses; Electronic books
• Languages: English
• ISBNs: 9783030590031; 3030590038
• Related ISBNs: 9783030590024
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