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Process of extracting uncover patterns from data: a review

Citation

Dermoudy, J and Kang, BH and Bhattacharyya, D and Jeon, SH and Farkhod, A, Process of extracting uncover patterns from data: a review, International Journal of Database Theory and Application, 2, (2) pp. 17-33. ISSN 2005-4270 (2009) [Refereed Article]


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Copyright Statement

Copyright © 2009 SERSC

Official URL: http://www.sersc.org

Abstract

Extracting required patterns from huge amount of mixed data is an area of interest to the researchers. Various promising and already established algorithms are currently using in the name of Data Clustering. Clustering is used for partitioning the data into number of data sets or group. In this paper, we review four popular clustering algorithms from data mining perspective.

Item Details

Item Type:Refereed Article
Keywords:clustering, Data mining, genetic algorithm, fuzzy
Research Division:Information and Computing Sciences
Research Group:Artificial Intelligence and Image Processing
Research Field:Pattern Recognition and Data Mining
Objective Division:Information and Communication Services
Objective Group:Computer Software and Services
Objective Field:Application Tools and System Utilities
Author:Dermoudy, J (Dr Julian Dermoudy)
Author:Kang, BH (Professor Byeong Kang)
ID Code:62198
Year Published:2009
Deposited By:Computing and Information Systems
Deposited On:2010-03-10
Last Modified:2010-05-17
Downloads:0

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