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
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
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
Keywords:
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:
000337067
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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