Sequence Association Rule with Pattern Constraints in Web Usage Mining: Data Stream Mining - V. Valli Mayil Singaravelu - Books - LAP LAMBERT Academic Publishing - 9783846552674 - December 15, 2011
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V. Valli Mayil Singaravelu
Sequence Association Rule with Pattern Constraints in Web Usage Mining: Data Stream Mining

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Sequence Association rule prediction is one of the most important activity in web usage mining. In this dissertation work the data in web log files are preprocessed. The irrelevant data (images and intermediate) in the log files are removed for further processing. The processed data is then analyzed for user and session identification. Finally the data in the form of session sequences are analyzed to find the frequent pattern. The pattern is then considered for the rule prediction.

Media Books     Paperback Book   (Book with soft cover and glued back)
Released December 15, 2011
ISBN13 9783846552674
Publishers LAP LAMBERT Academic Publishing
Pages 152
Dimensions 150 × 9 × 226 mm   ·   244 g
Language German  

See all of V. Valli Mayil Singaravelu ( e.g. Paperback Book )