Editors:
- 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
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 990)
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Table of contents (66 papers)
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Front Matter
About this book
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.
Editors and Affiliations
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Department of Information Technology, Veer Surendra Sai University of Technology, Burla, Sambalpur, India
Himansu Sekhar Behera
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Department of Computer Science and Engineering, Sri Sivani College of Engineering, Srikakulam, India
Janmenjoy Nayak
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Department of Computer Application, Veer Surendra Sai University of Technology, Burla, Sambalpur, India
Bighnaraj Naik
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Faculty of Communication Sciences, University of Teramo, Teramo, Italy
Danilo Pelusi
About the editors
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
Editors: Himansu Sekhar Behera, Janmenjoy Nayak, Bighnaraj Naik, Danilo Pelusi
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-981-13-8676-3
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Softcover ISBN: 978-981-13-8675-6Published: 18 August 2019
eBook ISBN: 978-981-13-8676-3Published: 17 August 2019
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XXVIII, 801
Number of Illustrations: 103 b/w illustrations, 228 illustrations in colour
Topics: Computational Intelligence, Data Mining and Knowledge Discovery, Artificial Intelligence