A Data Reduction Based Technique for Mining Infrequent Items from a Transaction Data Set

Surendra Singh Chauhan , Mr. Abhishek Raghuvanshi

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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"A Data Reduction Based Technique for Mining Infrequent Items from a Transaction Data Set", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 12, page no.59 - 61, December-2016, Available :https://ijsdr.org/papers/IJSDR1612012.pdf

Volume 1 Issue 12, December-2016

Pages : 59 - 61

Paper Reg. ID: IJSDR_160958

Published Paper Id: IJSDR1612012

Downloads: 000347214

Research Area: Engineering

Country: Dewas, MP, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1612012

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1612012

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition