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Author ADBIS (Conference) (23rd : 2019 : Bled, Slovenia)

Title Advances in databases and information systems : 23rd European conference, ADBIS 2019, Bled, Slovenia, September 8-11, 2019 : proceedings / Tatjana Welzer, Johann Eder, Vili Podgorelec, Aida Kamišalić Latifić (eds.)
Published Cham : Springer, [2019]
©2019

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Description 1 online resource : illustrations (some color)
Series Lecture notes in computer science, 0302-9743 ; 11695
LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI
Lecture notes in computer science ; 11019. 0302-9743
LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.
Contents Intro; Preface; Organization; Abstracts of Invited Talks; Location-in-Time Data: Compression vs. Augmentation; Evolution of Data Management Systems: State of the Art and Open Issues; Semantic Relational Learning; Contents; Data Mining; Unsupervised Artificial Neural Networks for Outlier Detection in High-Dimensional Data; 1 Introduction; 2 Related Work; 2.1 High-Dimensional Outlier Detection; 2.2 ANNs for Outlier Detection; 3 ANN-Based Approaches; 3.1 Requirements and General Idea; 3.2 Autoencoder; 3.3 Self-Organising Maps; 3.4 Restricted Boltzmann Machine; 4 Evaluation
4.1 Parameter Selection4.2 Outlier Detection Quality Evaluation; 4.3 Runtime Evaluation; 5 Conclusions; References; Improving Data Reduction by Merging Prototypes; 1 Introduction; 2 Background Knowledge; 3 The dRHC and dRHC2 Algorithms; 4 The Proposed Algorithms; 5 Performance Evaluation; 5.1 Experimental Setup; 5.2 Results and Discussion; 6 Conclusions and Future Work; References; Keys in Relational Databases with Nulls and Bounded Domains; 1 Introduction; 2 Related Work; 3 Preliminaries; 4 Strongly Possible Keys; 4.1 Implication Problem; 4.2 Armstrong Tables; 4.3 Weak Similarity Graph
5 Matroids, Matchings and Strongly Possible Keys5.1 Necessary Conditions; 6 Strongly Possible Key Discovery; 7 Conclusion and Future Directions; A Appendix; References; Machine Learning; ILIME: Local and Global Interpretable Model-Agnostic Explainer of Black-Box Decision; 1 Introduction; 2 Background; 2.1 Influence Functions; 2.2 LIME; 3 Local Explainer ILIME; 4 Global Attribution Using ILIME; 5 Experimental Results; 5.1 How Faithful ILIME to the Model Being Explained?; 5.2 Can We Trust the Explanations of ILIME?; 5.3 Can We Trust the Whole Model?; 6 Conclusion and Future Work; References
Heterogeneous Committee-Based Active Learning for Entity Resolution (HeALER)1 Introduction; 2 Heterogeneous Committee-Based Active Learning for Entity Resolution; 2.1 The Global Workflow; 2.2 Initial Training Dataset Generation; 2.3 Heterogeneous Committee; 2.4 Training Data Candidate Selection; 3 Evaluation; 3.1 Experimental Setting; 3.2 Initial Training Dataset Evaluation; 3.3 Heterogeneous-Committee Evaluation; 3.4 Overall Evaluation and Comparison; 4 Related Work; 5 Conclusions and Future Work; References; Document and Text Databases
Using Process Mining in Real-Time to Reduce the Number of Faulty ProductsAbstract; 1 Introduction; 1.1 Real-Time Data Processing; 1.2 Process Mining; 1.3 Real-Time Process Mining; 1.4 The Content of This Study; 2 Background; 2.1 The Manufacturing Process; 2.2 The Log Files; 2.3 The Creation Process of the Main Log File; 2.4 Monitoring Software; 3 Design and Development of the Test Environment; 3.1 Simulator Software; 3.2 Analyzer Software; 4 The New Method, the RTSDA; 4.1 Criteria for Applying the Method; 4.2 Data Visualization Considerations; 4.3 Data Storing; 4.4 Data Processing
Summary This book constitutes the proceedings of the 23rd European Conference on Advances in Databases and Information Systems, ADBIS 2019, held in Bled, Slovenia, in September 2019. The 27 full papers presented were carefully reviewed and selected from 103 submissions. The papers cover a wide range of topics from different areas of research in database and information systems technologies and their advanced applications from theoretical foundations to optimizing index structures. They focus on data mining and machine learning, data warehouses and big data technologies, semantic data processing, and data modeling. They are organized in the following topical sections: data mining; machine learning; document and text databases; big data; novel applications; ontologies and knowledge management; process mining and stream processing; data quality; optimization; theoretical foundation and new requirements; and data warehouses
Bibliography Includes bibliographical references and author index
Notes Online resource; title from PDF title page (SpringerLink, viewed September 16, 2019)
Subject Databases -- Congresses
Database management -- Congresses
Database management
Databases
Genre/Form proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Form Electronic book
Author Welzer, Tatjana, 1961- editor.
Eder, J. (Johann), 1958- editor.
Podgorelec, Vili, editor
Latifić, Aida Kamišalić, editor
ISBN 9783030287306
3030287300
3030287297
9783030287290
9783030287313
3030287319