Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8669)
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: IDEAL 2014.
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About this book
The 60 revised full papers presented were carefully reviewed and selected from about 120 submissions. These papers provided a valuable collection of recent research outcomes in data engineering and automated learning, from methodologies, frameworks, and techniques to applications. In addition the conference provided a good sample of current topics from methodologies, frameworks, and techniques to applications and case studies. The techniques include computational intelligence, big data analytics, social media techniques, multi-objective optimization, regression, classification, clustering, biological data processing, text processing, and image/video analysis.
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Keywords
- Web application
- agent-based simulation
- ant colony optimization
- cloud computing
- combinatorial optimization
- data mining
- expert system
- genetic algorithms
- intrusion detection
- multi-agent simulation
- ontology matching
- parallel computing
- recommender systems
- robust pattern recognition
- semantic Web
- semi-supervised learning
- social networks
- user modeling
- algorithm analysis and problem complexity
Table of contents (60 papers)
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Intelligent Data Engineering and Automated Learning – IDEAL 2014
Editors and Affiliations
Bibliographic Information
Book Title: Intelligent Data Engineering and Automated Learning -- IDEAL 2014
Book Subtitle: 15th International Conference, Salamanca, Spain, September 10-12, 2014, Proceedings
Editors: Emilio Corchado, José A. Lozano, Héctor Quintián, Hujun Yin
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-10840-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Softcover ISBN: 978-3-319-10839-1Published: 03 December 2014
eBook ISBN: 978-3-319-10840-7Published: 13 August 2014
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XX, 508
Number of Illustrations: 147 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Pattern Recognition, Artificial Intelligence, Algorithm Analysis and Problem Complexity, Information Storage and Retrieval, Computation by Abstract Devices