Pattern Finder – Efficient Framework for Sequential Pattern Mining (original) (raw)

With the proliferation of Internet, discovery and analysis of useful information from the World Wide Web becomes a practical necessity. Web usage mining has become a fertile field of research for improving designs of web sites, analyzing system performance as well as network Communications, understanding user reaction, motivation and Building adaptive Web sites. An important application of sequential mining techniques is web usage mining, for mining web log accesses, where the sequences of web page accesses made by different web users over a period of time, through a server, are recorded. We propose a framework of sequential patter miningPattern Finder which uses a proposed algorithm r-WAP. WAP-tree algorithm then, mines the frequent sequences from the WAP-tree by recursively re-constructing intermediate trees, starting with suffix sequences and ending with prefix sequences. The proposed algorithm r-WAP can find access patterns from Web logs quite efficiently. We have also added dat...