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Computational Intelligence in Data Mining Proceedings of the International Conference on CIDM 2017

The International Conference on “Computational Intelligence in Data Mining” (ICCIDM), after three successful versions, has reached to its fourth version with a lot of aspiration. The best selected conference papers are reviewed and compiled to form this volume. The proceedings discusses the latest s...

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Bibliographic Details
Other Authors: Behera, Himansu Sekhar (Editor), Nayak, Janmenjoy (Editor), Naik, Bighnaraj (Editor), Abraham, Ajith (Editor)
Format: eBook
Language:English
Published: Singapore Springer Singapore 2019, 2019
Series:Advances in Intelligent Systems and Computing
Subjects:
Engineering
Computational Intelligence
Data Mining
Artificial Intelligence (incl. Robotics)
Artificial Intelligence
Data Mining And Knowledge Discovery
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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245 0 0 |a Computational Intelligence in Data Mining  |h Elektronische Ressource  |b Proceedings of the International Conference on CIDM 2017  |c edited by Himansu Sekhar Behera, Janmenjoy Nayak, Bighnaraj Naik, Ajith Abraham 
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505 0 |a Preface -- Acknowledgement -- About the Editors -- Organizing Committee -- Table of Contents -- 79 Papers -- Author Index 
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653 |a Artificial Intelligence (incl. Robotics) 
653 |a Computational Intelligence 
653 |a Artificial intelligence 
653 |a Data Mining and Knowledge Discovery 
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700 1 |a Naik, Bighnaraj  |e [editor] 
700 1 |a Abraham, Ajith  |e [editor] 
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520 |a The International Conference on “Computational Intelligence in Data Mining” (ICCIDM), after three successful versions, has reached to its fourth version with a lot of aspiration. The best selected conference papers are reviewed and compiled to form this volume. The proceedings discusses the latest solutions, scientific results and methods in solving intriguing problems in the fields of data mining, computational intelligence, big data analytics, and soft computing. The volume presents a sneak preview into the strengths and weakness of trending applications and research findings in the field of computational intelligence and data mining along with related field.  

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