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International Journal of Scientific Development and Research - IJSDR
(An International Open Access Journal)
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2455-2631


Issue: May 2021

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Published Paper Details
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: 00016029
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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