Biclustering of web usage data using gravitational search algorithm

Abstract

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.