Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8819)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Included in the following conference series:
Conference proceedings info: IDA 2014.
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About this book
This book constitutes the refereed conference proceedings of the 13th International Conference on Intelligent Data Analysis, which was held in October/November 2014 in Leuven, Belgium. The 33 revised full papers together with 3 invited papers were carefully reviewed and selected from 70 submissions handling all kinds of modeling and analysis methods, irrespective of discipline. The papers cover all aspects of intelligent data analysis, including papers on intelligent support for modeling and analyzing data from complex, dynamical systems.
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Keywords
- big data
- classification
- clustering
- data mining
- genetic algorithms
- information technology
- information theory
- knowledge integration
- malware
- medical data mining
- online learning
- ontologies
- probabilistic reasoning
- recommendation
- search engine
- sequential rule mining
- supervised learning
- text mining
- topic models
- algorithm analysis and problem complexity
Table of contents (33 papers)
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Selected Contributions
Other volumes
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Advances in Intelligent Data Analysis XIII
Editors and Affiliations
Bibliographic Information
Book Title: Advances in Intelligent Data Analysis XIII
Book Subtitle: 13th International Symposium, IDA 2014, Leuven, Belgium, October 30 -- November 1, 2014. Proceedings
Editors: Hendrik Blockeel, Matthijs Leeuwen, Veronica Vinciotti
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-12571-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Softcover ISBN: 978-3-319-12570-1Published: 13 October 2014
eBook ISBN: 978-3-319-12571-8Published: 24 October 2014
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XX, 394
Number of Illustrations: 125 b/w illustrations
Topics: Database Management, Information Systems Applications (incl. Internet), Artificial Intelligence, Information Storage and Retrieval, Algorithm Analysis and Problem Complexity, Data Mining and Knowledge Discovery