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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title:	A COMPACT DATA STRUCTURE BASED TECHNIQUE FOR MINING FREQUENT PATTERNS FROM WEB LOG DATA SET
Authors Name:	Akansha Gupta , Prof. Balwant Prajapat
Unique Id:	IJSDR1706052
Published In:	Volume 2 Issue 6, June-2017
Abstract:	Frequent pattern mining is top chart research field for young researchers. It has a huge array of real world applications. Although many algorithms, tools, techniques are available for performing the task of frequent pattern mining. Apriori and FP growth are very popular frequent pattern mining techniques. This paper presents an updated methodology for web usage mining. The proposed model is based on the concept of data reduction. Useless data is eliminated from the transaction data base. The experimental results have shown that the proposed updated method is outperforming the existing methods. . In this paper, we have developed a method to discover frequent web item sets from the web transaction database. The proposed method is fast in comparison to older algorithms. Also it takes les main memory space for computation purpose.
Keywords:	data mining, frequent pattern mining, frequent closed item sets, data mart, data warehouse.
Cite Article:	"A COMPACT DATA STRUCTURE BASED TECHNIQUE FOR MINING FREQUENT PATTERNS FROM WEB LOG DATA SET", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 6, page no.346 - 349, June-2017, Available :http://www.ijsdr.org/papers/IJSDR1706052.pdf
Downloads:	000337070
Publication Details:	Published Paper ID: IJSDR1706052 Registration ID:170515 Published In: Volume 2 Issue 6, June-2017 DOI (Digital Object Identifier): Page No: 346 - 349 Publisher: IJSDR \| www.ijsdr.org ISSN Number: 2455-2631

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