Overview
- Includes the latest research on Soft Computing and Data Mining
- Presents the proceedings of the international conference on Soft Computing and Data Mining (SCDM-2016), held in Bandung, Indonesia on August 18th–20th 2016
- Written by experts in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 549)
Included in the following conference series:
Conference proceedings info: SCDM 2016.
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About this book
The book is based on the Soft Computing and Data Mining (SCDM-16) conference, which was held in Bandung, Indonesia on August 18th–20th 2016 to discuss the state of the art in soft computing techniques, and offer participants sufficient knowledge to tackle a wide range of complex systems. The scope of the conference is reflected in the book, which presents a balance of soft computing techniques and data mining approaches. The two constituents are introduced to the reader systematically and brought together using different combinations of applications and practices. It offers engineers, data analysts, practitioners, scientists and managers the insights into the concepts, tools and techniques employed, and as such enables them to better understand the design choice and options of soft computing techniques and data mining approaches that are necessary to thrive in this data-driven ecosystem.
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Keywords
Table of contents (65 papers)
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Soft Computing
Other volumes
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Recent Advances on Soft Computing and Data Mining
Editors and Affiliations
Bibliographic Information
Book Title: Recent Advances on Soft Computing and Data Mining
Book Subtitle: The Second International Conference on Soft Computing and Data Mining (SCDM-2016), Bandung, Indonesia, August 18-20, 2016 Proceedings
Editors: Tutut Herawan, Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-319-51281-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-51279-2Published: 29 December 2016
eBook ISBN: 978-3-319-51281-5Published: 27 December 2016
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XXI, 649
Number of Illustrations: 98 b/w illustrations, 117 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Data Mining and Knowledge Discovery