Overview
- Presents recent research in computational intelligence in data mining
- Discusses the outcomes of ICCIDM 2021, held in Tekkali, India
- Serves as a reference guide for researchers and practitioners in academia and industry
Part of the book series: Smart Innovation, Systems and Technologies (SIST, volume 281)
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About this book
This book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book is a collection of high-quality peer-reviewed research papers presented in the Sixth International Conference on Computational Intelligence in Data Mining (ICCIDM 2021) held at Aditya Institute of Technology and Management, Tekkali, Andhra Pradesh, India, during December 11–12, 2021. The book addresses the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics.
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Keywords
Table of contents (56 papers)
Editors and Affiliations
About the editors
Dr. Danilo Pelusi has received the Ph.D. degree in Computational Astrophysics from the University of Teramo, Italy. Presently, he is holding the position of Associate Professor at the Faculty of Communication Sciences, University of Teramo. Associate Editor of IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Access, International Journal of Machine Learning and Cybernetics (Springer) and Array (Elsevier), he served as Guest Editor for Elsevier, Springer and Inderscience journals, as Program Member of many conferences and as Editorial Board Member of many journals. Reviewer of reputed journals such as IEEE Transactions on Fuzzy Systems and IEEE Transactions on Neural Networks and Machine Learning, his research interests include intelligent computing, communication system, fuzzy logic, neural networks, information theory, and evolutionary algorithms.
Bibliographic Information
Book Title: Computational Intelligence in Data Mining
Book Subtitle: Proceedings of ICCIDM 2021
Editors: Janmenjoy Nayak, H.S. Behera, Bighnaraj Naik, S. Vimal, Danilo Pelusi
Series Title: Smart Innovation, Systems and Technologies
DOI: https://doi.org/10.1007/978-981-16-9447-9
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022
Hardcover ISBN: 978-981-16-9446-2Published: 07 May 2022
Softcover ISBN: 978-981-16-9449-3Published: 08 May 2023
eBook ISBN: 978-981-16-9447-9Published: 06 May 2022
Series ISSN: 2190-3018
Series E-ISSN: 2190-3026
Edition Number: 1
Number of Pages: XXVI, 764
Number of Illustrations: 76 b/w illustrations, 269 illustrations in colour
Topics: Computational Intelligence, Data Mining and Knowledge Discovery, Artificial Intelligence, Communications Engineering, Networks