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  1. University of Computer Studies, Yangon
  2. Journals

Discovering Generalized Association Rule in Web Usage Mining by FP Tree

http://hdl.handle.net/20.500.12678/0000004364
http://hdl.handle.net/20.500.12678/0000004364
328a4d89-819c-4480-a5d0-d090296eb760
affc6d44-da73-4c6b-94d1-2c14a397bf11
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NJPSC NJPSC 2019 Proceedings-pages-92-98.pdf (701 Kb)
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Article
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Publication
Title
Title Discovering Generalized Association Rule in Web Usage Mining by FP Tree
Language en_US
Publication date 2019-03
Authors
Thu, Han Ni Ni Myint
Oo, Khine Khine
Description
Web mining techniques can use to search forweb access patterns, web structures, regularity anddynamics of web contents. Web usage mininganalyzes Web log files to discover user accessingpatterns of Web pages. Log file data can offervaluable insight into web site usage. It reflects actualusage in natural working condition, compared to theartificial setting of a usability lab. This paperpresents web log mining based on hierarchy of webusage data by generalized association rule. Multilevel association rule will be used for implementationof generalized association rule. In this system, Weblog database is used to store web log records of logfiles collected from web server. And web logdatabase are constructed via a process of datacleaning, data transformation. By using FP tree, thesystem generates rules from web log data, will reducecounting phase of association rule since it stores thepre-computed count values. Frequent patterns aregenerated instead of page item-sets. The generatedfrequent patterns can later be applied to improve website management, decision making process.
Keywords
Web Log, Association rules, FP tree
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/2302
Journal articles
National Journal of Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
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