Biclustering of Web Usage Data Using Gravitational Search Algorithm

被引：0
|
作者：
Prabha, V. Diviya [1 ]
Rathipriya, R. [1 ]
机构：
[1] Periyar Univ, Dept Comp Sci, Salem, Tamil Nadu, India
来源：
2013 INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, INFORMATICS AND MEDICAL ENGINEERING (PRIME) | 2013年
关键词：
Biclustering; Correlation based fitness function; Gravitational Search Algorithm (GSA); Web Usage Data; Web Usage Mining;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, an efficient and new algorithm for biclustering of web usage data is presented, which is based on gravitational search algorithm. In the proposed algorithm, called BIC-GSA, the gravitational search algorithm is used to find a near optimal solution for biclustering problem. The benchmark clickstream dataset from UCI repository is used to evaluate and to study the performance of the presented algorithm. The results show that the proposed algorithm can find high quality biclusters in the tested dataset.
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页数：6
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