Title :
Organization of Information for the Web Using Hierarchical Fuzzy Clustering Algorithm Based on Co-occurrence Networks
Author :
Zaidi, Faraz ; Melançon, Guy
Author_Institution :
LaBRI, INRIA Bordeaux Sud-Ouest, Bordeaux, France
fDate :
Aug. 31 2010-Sept. 3 2010
Abstract :
In this paper, we present a Hierarchical Fuzzy Clustering algorithm which uses domain knowledge to automatically determine the number of clusters and their initial values. The algorithm is applied on a collection of web pages and the results are compared with existing algorithms in the literature.
Keywords :
Internet; data mining; fuzzy set theory; information retrieval; organisational aspects; pattern clustering; Web mining; Web page collection; co-occurrence networks; hierarchical fuzzy clustering algorithm; information retrieval; Fuzzy and Hierarchical Clustering; Information Retrieval; Web Mining;
Conference_Titel :
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-8482-9
Electronic_ISBN :
978-0-7695-4191-4
DOI :
10.1109/WI-IAT.2010.86
