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A Comparative Analysis of Web Usage Mining Techniques

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Paridhi Nigam, Rajesh K. Chakrawarti

Paridhi Nigam and Rajesh K Chakrawarti. A Comparative Analysis of Web Usage Mining Techniques. International Journal of Computer Applications 152(5):26-29, October 2016. BibTeX

	author = {Paridhi Nigam and Rajesh K. Chakrawarti},
	title = {A Comparative Analysis of Web Usage Mining Techniques},
	journal = {International Journal of Computer Applications},
	issue_date = {October 2016},
	volume = {152},
	number = {5},
	month = {Oct},
	year = {2016},
	issn = {0975-8887},
	pages = {26-29},
	numpages = {4},
	url = {},
	doi = {10.5120/ijca2016911790},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


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.


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Web mining; Web log mining; Apriori; K-Apriori; FP growth;