Computational Intelligence in Data Mining - Volume 1 Proceedings of
The contributed volume aims to explicate and address the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automat
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Computational Intelligence in Data Mining - Volume 1 Proceedings of the International Conference on CIDM, 20-21 December 2014
SMART INNOVATION, SYSTEMS AND TECHNOLOGIES
Lakhmi C. Jain Himansu Sekhar Behera Jyotsna Kumar Mandal Durga Prasad Mohapatra
Smart Innovation, Systems and Technologies Volume 31
Series editors Robert J. Howlett, KES International, Shoreham-by-Sea, UK e-mail: [email protected] Lakhmi C. Jain, University of Canberra, Canberra, Australia, and University of South Australia, Adelaide, Australia e-mail: [email protected]
About this Series The Smart Innovation, Systems and Technologies book series encompasses the topics of knowledge, intelligence, innovation and sustainability. The aim of the series is to make available a platform for the publication of books on all aspects of single and multi-disciplinary research on these themes in order to make the latest results available in a readily-accessible form. Volumes on interdisciplinary research combining two or more of these areas is particularly sought. The series covers systems and paradigms that employ knowledge and intelligence in a broad sense. Its scope is systems having embedded knowledge and intelligence, which may be applied to the solution of world problems in industry, the environment and the community. It also focusses on the knowledge-transfer methodologies and innovation strategies employed to make this happen effectively. The combination of intelligent systems tools and a broad range of applications introduces a need for a synergy of disciplines from science, technology, business and the humanities. The series will include conference proceedings, edited collections, monographs, handbooks, reference books, and other relevant types of book in areas of science and technology where smart systems and technologies can offer innovative solutions. High quality content is an essential feature for all book proposals accepted for the series. It is expected that editors of all accepted volumes will ensure that contributions are subjected to an appropriate level of reviewing process and adhere to KES quality principles.
More information about this series at http://www.springer.com/series/8767
Lakhmi C. Jain Himansu Sekhar Behera Jyotsna Kumar Mandal Durga Prasad Mohapatra •
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Editors
Computational Intelligence in Data Mining - Volume 1 Proceedings of the International Conference on CIDM, 20-21 December 2014
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Editors Lakhmi C. Jain University of Canberra Canberra Australia and University of South Australia Adelaide, SA Australia Himansu Sekhar Behera Department of Computer Science and Engineering Veer Surendra Sai University of Technology Sambalpur, Odisha India
Jyotsna Kumar Mandal Department of Computer Science and Engineering Kalyani University Nadia, West Bengal India Durga Prasad Mohapatra Department of Computer Science and Engineering National Institute of Technology Rourkela Rourkela India
ISSN 2190-3018 ISSN 2190-3026 (electronic) Smart Innovation, Systems and Technologies ISBN 978-81-322-2204-0 ISBN 9
