Pattern Based Mining For Relevant Document Extraction

Abstract

This paper presents efficient mining algorithm for discovering patterns from text collection and search for useful and interesting patterns. For extracting useful information we used pattern based model containing frequent sequential patterns and pruned the meaningless patterns. Here an innovative and effective technique is used for pattern discovery which includes SPM & FP growth algorithms for pattern mining and applies the processes of pattern deploying, pattern evolving, to improve the effectiveness of using and updating discovered patterns for finding relevant and interesting information.