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Advances in Intelligent Systems and Computing

Computational Intelligence in Data Mining

Proceedings of the International Conference on ICCIDM 2018

Editors: Behera, H.S., Nayak, J., Naik, B., Pelusi, D. (Eds.)

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  • Contains current research issues of developments of soft computing, data mining and computational intelligence
  • Presents applications of current issues of research in green computing, big data analysis and nature inspired computing
  • Introduces attractive resource to meet new research challenges and problem findings in data mining
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イーブック ¥25,832
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  • ISBN 978-981-13-8676-3
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ソフトカバー ¥32,291
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-981-13-8675-6
  • 個人のお客様には、世界中どこでも配送料無料でお届けします。
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この書籍について

This proceeding discuss the latest solutions, scientific findings and methods for solving intriguing problems in the fields of data mining, computational intelligence, big data analytics, and soft computing. This gathers outstanding papers from the fifth International Conference on “Computational Intelligence in Data Mining” (ICCIDM), and offer a “sneak preview” of the strengths and weaknesses of trending applications, together with exciting advances in computational intelligence, data mining, and related fields.

著者について

Dr. Himansu Sekhar Behera is an Associate Professor & Head of the Department at the Department of Information Technology, VSSUT, Burla, Odisha, India. He has published more than 80 research papers in various international journals and conference proceedings, edited 11 books, and serves on the Editorial/Reviewer Board of various international journals. His research interests include Data Mining and Intelligent Computing. He is associated with various educational and research societies, e.g. the OITS, ISTE, SMIAENG, SMCSTA etc.
Dr. Janmenjoy Nayak is an Associate Professor & Head of the Department at the Department of Computer Science & Engineering, Sri Sivani College of Engineering, Srikakulam, India. He was awarded an INSPIRE Fellowship by the DST, Government of India to pursue his doctoral research at the VSSUT, Burla, India. He has published more than 50 research papers in various reputed peer-reviewed journals and conference proceedings. He is the recipient of the Best Researcher Award from the JNTU, Kakinada (2018) and the Young Faculty in Engineering Award from Venus International Foundation (2017). With more than eight years of teaching and research experience, his research interests include Data Mining, Nature Inspired Algorithms and Soft Computing.  He is an active reviewer for various reputed peer-reviewed journals, e.g. IEEE, IET, Elsevier, Springer and Inderscience journals. Further, Dr. Nayak is a life member of several societies, e.g. the IEEE, CSI India, IAENG (Hong Kong) etc.
Dr. Bighnaraj Naik is an Assistant Professor at the Department of Computer Application, Veer Surendra Sai University of Technology, Burla, India. He has published more than 50 research papers in prominent journals and conference proceedings. With more than eight years of teaching experience in the field of Computer Science and Information Technology, Dr. Naik’s research interests include Data Mining and Soft Computing. He is a life member of several societies, e.g. the IEEE, IAENG (Hong Kong) etc.
Dr. Danilo Pelusi is an Associate Professor at the Faculty of Communication Sciences, University of Teramo, Italy, where he also received his Ph.D. in Computational Astrophysics in 2006. His current research interests include Information Theory, Fuzzy Logic, Neural Networks and Evolutionary Algorithms. He is an Associate Editor of IEEE Transactions on Emerging Topics in Computational Intelligence and IEEE Access, and has served as a guest editor for several Inderscience and Springer journals.

Table of contents (66 chapters)

Table of contents (66 chapters)
  • Cluster Validity Using Modified Fuzzy Silhouette Index on Large Dynamic Data Set

    Pages 1-14

    Subbalakshmi, Chatti (et al.)

  • RRF-BD: Ranger Random Forest Algorithm for Big Data Classification

    Pages 15-25

    Rao, G. Madhukar (et al.)

  • Survey on Plagiarism Detection Systems and Their Comparison

    Pages 27-39

    Lovepreet, (et al.)

  • IoT in Home Automation

    Pages 41-49

    Sourav, Prasad Suman (et al.)

  • Finding Correlation Between Twitter Influence Metrics and Centrality Measures for Detection of Influential Users

    Pages 51-62

    Chakma, Kunal (et al.)

書籍の購入

イーブック ¥25,832
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-981-13-8676-3
  • ウォーターマーク付、 DRMフリー
  • ファイル形式: EPUB, PDF
  • どの電子書籍リーダーからでもすぐにお読みいただけます。
  • ご購入後、すぐにダウンロードしていただけます。
ソフトカバー ¥32,291
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-981-13-8675-6
  • 個人のお客様には、世界中どこでも配送料無料でお届けします。
  • Usually dispatched within 3 to 5 business days.
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書誌情報

Bibliographic Information
Book Title
Computational Intelligence in Data Mining
Book Subtitle
Proceedings of the International Conference on ICCIDM 2018
Editors
  • Himansu Sekhar Behera
  • Janmenjoy Nayak
  • Bighnaraj Naik
  • Danilo Pelusi
Series Title
Advances in Intelligent Systems and Computing
Series Volume
990
Copyright
2020
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
イーブック ISBN
978-981-13-8676-3
DOI
10.1007/978-981-13-8676-3
ソフトカバー ISBN
978-981-13-8675-6
Series ISSN
2194-5357
Edition Number
1
Number of Pages
XXVIII, 801
Number of Illustrations
103 b/w illustrations, 228 illustrations in colour
Topics