Behera Computational Intelligence in Data Mining

Computational Intelligence in Data Mining

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Proceedings of the International Conference on CIDM 2017

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Beschreibung

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. 


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. 


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

Autor*in

Himansu Sekhar Behera

Themen in »Computational Intelligence in Data Mining«

CIDM 2017 ICCIDM Conference Proceedings Data Mining Fuzzy Logic Machine Learning Advance Computing Pattern Recognition Big Data Analysis

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Details

ISBN: 9789811080548
Verlag: Springer Singapore
Erscheinung: 04.07.2018

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