Mining association rules using hash-index technique

Abstract

This paper presents the hash index table structure, a general and dense structure which provides web page set extraction from Log File of server. This hash table provides information about the original database. Since no constraint is enforced during the index creation phase, Web Page set mining (WPs-Mine) provides a complete representation of the original database. This approach works well for both sparse and dense data distributions. The proposed web page set index is linearly scalable for large data sets. Web page set mining supported by hash table index shows the performance always comparable with and often better than algorithms accessing data on flat files. Incremental update is feasible without re accessing the original transactional database. © 2011 Springer-Verlag.