Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11314)
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 2018.
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (88 papers)
-
Front Matter
Other volumes
-
Intelligent Data Engineering and Automated Learning – IDEAL 2018
-
Intelligent Data Engineering and Automated Learning – IDEAL 2018
Keywords
- artificial intelligence
- classification
- clustering
- computer crime
- computer networks
- data mining
- data security
- evolutionary algorithms
- genetic algorithms
- image processing
- image reconstruction
- image segmentation
- intrusion detection
- learning algorithms
- machine learning
- neural networks
- pattern recognition
- semantics
- signal processing
- Support Vector Machines (SVM)
About this book
This two-volume set LNCS 11314 and 11315 constitutes the thoroughly refereed conference proceedings of the 19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018, held in Madrid, Spain, in November 2018. The 125 full papers presented were carefully reviewed and selected from 204 submissions. These papers provided a timely sample of the latest advances in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, deep learning neural networks, probabilistic modelling, particle swarm intelligence, big data analytics, and applications in image recognition, regression, classification, clustering, medical and biological modelling and prediction, text processing and social media analysis.
Editors and Affiliations
Bibliographic Information
Book Title: Intelligent Data Engineering and Automated Learning – IDEAL 2018
Book Subtitle: 19th International Conference, Madrid, Spain, November 21–23, 2018, Proceedings, Part I
Editors: Hujun Yin, David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-03493-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2018
Softcover ISBN: 978-3-030-03492-4Published: 09 November 2018
eBook ISBN: 978-3-030-03493-1Published: 08 November 2018
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXVI, 865
Number of Illustrations: 88 b/w illustrations, 197 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Artificial Intelligence, Computer Imaging, Vision, Pattern Recognition and Graphics, Theory of Computation