A Comprehensive Literature Review on Sequential Patterns Algorithms in Web Usage Mining

Exploring Sequential Patterns Algorithms for Web Usage Mining

Abstract

Web Usage Information is the main repository for network utility channelling that primarily consists of web client logs, proxy logs and server logs. As server logs have all but interchangeable structures and are promptly supplied to all domain server hosts, which is in general cooperative and needy repository in research on network utility channeling. In this review paper the basic approaches to extract blue prints in network logs comprise of analytical analysis, session recognition, client recognition, assortment and successive principle channelling.