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Process of extracting uncover patterns from data: a review


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 © 2009 SERSC

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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:Computer vision and multimedia computation
Research Field:Pattern recognition
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Dermoudy, J (Dr Julian Dermoudy)
UTAS Author:Kang, BH (Professor Byeong Kang)
ID Code:62198
Year Published:2009
Deposited By:Information and Communication Technology
Deposited On:2010-03-10
Last Modified:2010-05-17

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