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A Comparative Analysis of Web Usage Mining Techniques
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 152 - Number 5 |
| Year of Publication: 2016 |
| Authors: Paridhi Nigam, Rajesh K. Chakrawarti |
10.5120/ijca2016911790
|
Paridhi Nigam, Rajesh K. Chakrawarti . A Comparative Analysis of Web Usage Mining Techniques. International Journal of Computer Applications. 152, 5 ( Oct 2016), 26-29. DOI=10.5120/ijca2016911790
Abstract
Web usage mining is the application of data mining techniques and is used to extract the important data which are present in the web. Nowadays web log mining is a very popular and computationally expensive task. Preprocessing, pattern discovery, and pattern analysis are the major task of web usage mining. In this paper we are presenting an overview of existing algorithms used in pattern discovery phase for mining the frequent item set by designing comparative analysis table i.e. Apriori, K-Apriori, FP growth which are used in pattern discovery phase.
References
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- Jaideep Srivastava , Robert Cooley, Mukund Deshpande, Pang-Ning Tan, “Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data”.
- Monika Dhandi, Rajesh Kumar Chakrawarti Department of Computer Science, “ A comprehensive study of Web Usage Mining”, SVITS, Indore.
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