UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 7 Issue 10
October-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2010372


Registration ID:
302620

Page Number

2848-2852

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Title

Apriori Base Efficient Approach for large Database Compressed in Association Mining

Abstract

Data mining can be viewed as a result of the natural evolution of information technology. Large Amount of data is being using very rapidly in the world. It to be compressed takes much more time and takes lot of effort to process these data for knowledge discovery and decision making. Data compression technique is one of good solutions to be reduce size of data that can be save more time the time of discovering useful knowledge by using appropriate methods data mining approaches which is used to compress the original database into a smaller one and perform the data mining process for compressed transaction such as M2TQT, APRIORI algorithm, TM algorithm, AIS & SETM, CT-Apriori algorithm, CBMine, CT-ITL algorithm, FIUT- Tree. Among the various techniques M2TQT uses the relationship of transactions to merge related transactions and builds a quantification table to prune the candidate item sets which are impossible to become frequent in order to improve the performance of mining association rules. Thus M2TQT is observed to perform better than existing approaches

Key Words

Quantification table, Association Mining, Marge Transitions

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"Apriori Base Efficient Approach for large Database Compressed in Association Mining ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 10, page no.2848-2852, October-2020, Available :http://www.jetir.org/papers/JETIR2010372.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Apriori Base Efficient Approach for large Database Compressed in Association Mining ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 10, page no. pp2848-2852, October-2020, Available at : http://www.jetir.org/papers/JETIR2010372.pdf

Publication Details

Published Paper ID: JETIR2010372
Registration ID: 302620
Published In: Volume 7 | Issue 10 | Year October-2020
DOI (Digital Object Identifier):
Page No: 2848-2852
Country: Ujjain, Madhya Pradesh , India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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