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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
- 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