Computational Intelligence in Data Mining
Proceedings of the International Conference on ICCIDM 2018
Editors: Behera, H.S., Nayak, J., Naik, B., Pelusi, D. (Eds.)Free Preview
- 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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- ISBN 978-981-13-8676-3
- ウォーターマーク付、 DRMフリー
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- ISBN 978-981-13-8675-6
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.
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.
- Bibliographic Information
- Book Title
- Computational Intelligence in Data Mining
- Book Subtitle
- Proceedings of the International Conference on ICCIDM 2018
- Himansu Sekhar Behera
- Janmenjoy Nayak
- Bighnaraj Naik
- Danilo Pelusi
- Series Title
- Advances in Intelligent Systems and Computing
- Series Volume
- Springer Singapore
- Copyright Holder
- Springer Nature Singapore Pte Ltd.
- イーブック ISBN
- ソフトカバー ISBN
- Series ISSN
- Edition Number
- Number of Pages
- XXVIII, 801
- Number of Illustrations
- 103 b/w illustrations, 228 illustrations in colour