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

Authors :
G. Shivaprasad
N. V. Subbareddy
U. Dinesh Acharya
R. B. Patel
B. P. Singh
Source :
AIP Conference Proceedings.
Publication Year :
2010
Publisher :
AIP, 2010.

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.

Details

ISSN :
0094243X
Database :
OpenAIRE
Journal :
AIP Conference Proceedings
Accession number :
edsair.doi...........f66f00d86bdaa5e877ba6893698e2858