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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title:	A Data Reduction Based Technique for Mining Infrequent Items from a Transaction Data Set
Authors Name:	Surendra Singh Chauhan , Mr. Abhishek Raghuvanshi
Unique Id:	IJSDR1612012
Published In:	Volume 1 Issue 12, December-2016
Abstract:	Rare item set mining in data mining takes a lot of data base scans. Therefore it is a computationally expensive task. So still there is a need to update and enhance the existing rare item set mining techniques so that we can get the more efficient methods for the same task. In this paper, a study of all the modern and most popular rare item set mining technique is also performed. It also contains a data reduction based techniques for mining rare item sets from a data set. In this technique the unimportant items are eliminated from the data set
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Cite Article:	"A Data Reduction Based Technique for Mining Infrequent Items from a Transaction Data Set", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 12, page no.59 - 61, December-2016, Available :http://www.ijsdr.org/papers/IJSDR1612012.pdf
Downloads:	000337061
Publication Details:	Published Paper ID: IJSDR1612012 Registration ID:160958 Published In: Volume 1 Issue 12, December-2016 DOI (Digital Object Identifier): Page No: 59 - 61 Publisher: IJSDR \| www.ijsdr.org ISSN Number: 2455-2631

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