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22nd International Conference on Data Engineering Workshops (ICDEW'06)
Mining Web Structures Using Multi-Dimensional Data Mining Model
Atlanta, Georgia
April 03-April 07
ISBN: 0-7695-2571-7
Yoshinobu Yamashita, The University of Electro-Communications, Japan
Tadashi 0hmori, The University of Electro-Communications, Japan
Mamoru Hoshi, The University of Electro-Communications, Japan
Mining interesting structures of web organizations is a hot topic today. This paper proposes a method to mine non-trivial structures of an intranet-style web organiza,tion under multi-dimensional restrictions. To do so, we use our new datacube system named "ztemset cube". The itemset cube system does frequent itemset data-mining tasks in a datacube-style under multidimensional restrictions. Using this itemset cube, this paper analyzes structures of a web organization under the multi-dimensional restrictions about "what cores are important to which groups" and "wha,t cores are so when looking from which groups". As a new a,pproach, we model relationship between cores by a new core-community graph, and ca,lculate ranks of the cores there. Effects of our method are demonstrated by using all web sites under a university's domain.
Citation:
Yoshinobu Yamashita, Tadashi 0hmori, Mamoru Hoshi, "Mining Web Structures Using Multi-Dimensional Data Mining Model," icdew, pp.x119, 22nd International Conference on Data Engineering Workshops (ICDEW'06), 2006
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