Effective web log mining using WAP tree-mine

World Wide Web is a huge data repository and is growing with the explosive rate of about 1 million pages a day, web log records each access of the web page and number of entries in the web logs is increasing rapidly. These web logs, when mined properly can provide useful information for decision-making. Sequential pattern mining discovers frequent user access patterns from web logs. Since Apriori-like sequential pattern mining techniques requires expensive multiple scans of database. But, recently a novel data structure, known as Web Access Pattern Tree (or WAP-tree), was developed. This proposed method an efficient WAP-tree mining algorithm, known as DLT-mine (Doubly Linked Tree algorithm). Proposed recursive algorithm uses this doubly Linked tree to efficiently find all access patterns that satisfy user specified criteria. This mining algorithm is faster than the other Apriori-based mining algorithms.