Sequential Pattern Mining From Web Log Data

Provided by: INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE & ADVANCED TECHNOLOGY
Topic: Software
Format: PDF
Sequential Pattern Mining involves applying data mining methods to large web data repositories to extract usage patterns. The growing popularity of the World Wide Web, many websites typically experience thousands of visitors every day. Analysis of who browsed what, can give important insight into the buying pattern of existing customers. Correct and timely decisions made based on this knowledge have helped organizations in reaching new heights in the market. In this paper, the sequence tree algorithm is implemented for pattern mining and this is experimented on web log data.

Find By Topic