Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10387)
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: DMBD 2017.
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Table of contents (53 papers)
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Front Matter
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Association Analysis
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Front Matter
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Prediction
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Front Matter
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Other volumes
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Data Mining and Big Data
Keywords
- artificial intelligence
- big data
- classification algorithm
- computer aided instruction
- data communication systems
- data mining
- data stream
- fuzzy systems
- genetic algorithms
- internet
- learning algorithms
- learning systems
- mobile computing
- mobile devices
- neural networks
- social networks (SN)
- support vector machines
- SVM
- telecommunication networks
- world wide web (WWW)
About this book
The 53 papers presented in this volume were carefully reviewed and selected from 96 submissions. They were organized in topical sections named: association analysis; clustering; prediction; classification; schedule and sequence analysis; big data; data analysis; data mining; text mining; deep learning; high performance computing; knowledge base and its framework; and fuzzy control.
Editors and Affiliations
Bibliographic Information
Book Title: Data Mining and Big Data
Book Subtitle: Second International Conference, DMBD 2017, Fukuoka, Japan, July 27 – August 1, 2017, Proceedings
Editors: Ying Tan, Hideyuki Takagi, Yuhui Shi
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-61845-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-61844-9Published: 26 June 2017
eBook ISBN: 978-3-319-61845-6Published: 18 July 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XV, 546
Number of Illustrations: 210 b/w illustrations
Topics: Information Systems Applications (incl. Internet), Artificial Intelligence, Data Mining and Knowledge Discovery, System Performance and Evaluation, Algorithm Analysis and Problem Complexity