Advances in databases and information systems : 23rd European conference, ADBIS 2019, Bled, Slovenia, September 8-11, 2019 : proceedings /
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 topi...
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| Format: | Conference Proceeding Book |
| Language: | English |
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Cham :
Springer,
[2019]
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| Series: | LNCS sublibrary Information systems and applications, incl. Internet/Web, and HCI.
Lecture notes in computer science ; 11019 |
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| 245 | 1 | 0 | |a Advances in databases and information systems : |b 23rd European conference, ADBIS 2019, Bled, Slovenia, September 8-11, 2019 : proceedings / |c Tatjana Welzer, Johann Eder, Vili Podgorelec, Aida Kamišalić Latifić (eds.) |
| 264 | 1 | |a Cham : |b Springer, |c [2019] | |
| 264 | 4 | |c ©2019 | |
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| 490 | 1 | |a Lecture notes in computer science, |x 0302-9743 ; |v 11695 | |
| 504 | |a Includes bibliographical references and author index | ||
| 505 | 0 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 520 | |a 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 | ||
| 588 | 0 | |a Online resource; title from PDF title page (SpringerLink, viewed September 16, 2019) | |
| 596 | |a 22 | ||
| 650 | 0 | |a Database management |v Congresses | |
| 650 | 0 | |a Databases |v Congresses | |
| 650 | 6 | |a Bases de données |x Gestion |v Congrès | |
| 650 | 7 | |a Database management |2 fast | |
| 650 | 7 | |a Databases |2 fast | |
| 655 | 4 | |a Electronic books | |
| 655 | 7 | |a Conference papers and proceedings |2 fast | |
| 655 | 7 | |a Conference papers and proceedings |2 lcgft | |
| 700 | 1 | |a Eder, J |q (Johann), |d 1958- |e editor. | |
| 700 | 1 | |a Latifić, Aida Kamišalić, |e editor | |
| 700 | 1 | |a Latifić, Aida Kamišalić, |e editor | |
| 700 | 1 | |a Podgorelec, Vili, |e editor | |
| 700 | 1 | |a Welzer, Tatjana, |d 1961- |e editor | |
| 776 | 0 | 8 | |i Printed edition: |z 9783030287290 |
| 776 | 0 | 8 | |i Printed edition: |z 9783030287313 |
| 830 | 0 | |a LNCS sublibrary |n SL 3, |p Information systems and applications, incl. Internet/Web, and HCI. | |
| 830 | 0 | |a Lecture notes in computer science ; |v 11019 |x 0302-9743 | |
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