Sun Hee Yoon, Hae Seok Oh

The KIPS Transactions:PartC, Vol. 8, No. 6, pp. 847-854, Dec. 2001
10.3745/KIPSTC.2001.8.6.847,   PDF Download:

Abstract

The Web continues to grow fast rate in both a large scale volume of traffic and the size and complexity of Web sites. Along with growth, the complexity of tasks such as Web site design, Web server design, and of navigating simply through a Web site have increased. An important input to these design tasks is the analysis of how a Web site is being used. This paper proposes a Page Logging System(PLS) identifying reliably user sessions required in Web mining systems. PLS consists of ''Page Logger'' acquiring all the page accesses of the user, ''Log Processor'' producing user sessions from these data, and statements to incorporate a call to the Page Logger applet. Proposed PLS abbreviates several preprocessing tasks which spends a lot of time and efforts that must be performed in Web mining systems. In particular, it simplifies the complexity of transaction identification phase through acquiring directly the amount of time a user stays on a page. Also PLS solves local cache hits and proxy IPs that create problems with identifying user sessions from Web server log.

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