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2016 | OriginalPaper | Chapter

Evaluation of Data Mining Strategies Using Fuzzy Clustering in Dynamic Environment

Authors : Chatti Subbalakshmi, G. Ramakrishna, S. Krishna Mohan Rao

Published in: Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics

Publisher: Springer India

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Abstract

The recent applications of data mining such as biological, scientific, financial and others are changing data regularly, which is uncertain and incomplete. For finding tendency in these data up-to-date, we need to modify existing data mining algorithms with dynamic characteristics. Soft computing methods are suitable for finding changes in uncertain data. In order to adopt change in data we can apply any of two approaches, update algorithm by ignoring earlier state or update with respect to earlier state. In this paper, we have framed two fuzzy clustering methods based on these approaches and implementation done using R software with comparison.

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Metadata
Title
Evaluation of Data Mining Strategies Using Fuzzy Clustering in Dynamic Environment
Authors
Chatti Subbalakshmi
G. Ramakrishna
S. Krishna Mohan Rao
Copyright Year
2016
Publisher
Springer India
Book
Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics

Print ISBN: 978-81-322-2528-7

Electronic ISBN: 978-81-322-2529-4

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-81-322-2529-4_55

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