Knowledge Discovery from Web Usage Data: Research and Development of Web Access Pattern Tree Based Sequential Pattern Mining Techniques: A Survey

Shivaprasad,, G and Subbareddy , NV and Acharya, Dinesh U (2010) Knowledge Discovery from Web Usage Data: Research and Development of Web Access Pattern Tree Based Sequential Pattern Mining Techniques: A Survey. In: INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN SCIENCE AND TECHNOLOGY , 4th january 2011.

[img] PDF
WAP_based_Sequential_Pattern_Mining_Techniques.pdf.pdf - Published Version

Download (2MB)
Official URL: http://scitation.aip.org/getabs/servlet/GetabsServ...

Abstract

Sequential pattern mining is the process of applying data mining techniques to a sequential database, to extract frequent subsequences to discover correlation that exists among the ordered list of events. Web Usage mining (WUM) discovers and extracts interesting knowledge/patterns from Web logs is one of the applications of Sequential Pattern Mining. In this paper, we present a survey of the sequential pattern mining techniques based Web Access Pattern (WAP) tree on Web logs.

Item Type: Conference or Workshop Item (Paper)
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 06 Jun 2011 09:55
Last Modified: 06 Jun 2011 09:55
URI: http://eprints.manipal.edu/id/eprint/138

Actions (login required)

View Item View Item