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Published in:

Volume 7 Issue 3
March-2020
eISSN: 2349-5162

Unique Identifier

JETIR2003240

Page Number

1674-1679

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Title

APPLYING ASSOCIATION RULE MINING FOR INDIRECT DEPENDENCIES ELIMINATION

ISSN

2349-5162

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"APPLYING ASSOCIATION RULE MINING FOR INDIRECT DEPENDENCIES ELIMINATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 3, page no.1674-1679, March-2020, Available :http://www.jetir.org/papers/JETIR2003240.pdf

Abstract

Data Mining is defined as a progress used to extract usable data from a larger set of any raw data. It examine a data patterns in large batches of data using two or more software. It is an application of data mining, businesses can learn about their customers and develop more effective strategies related to various business functions. This paper defines the association rules to describe the indirect dependences. First, an algorithm is proposed to identify a product, sets of items, and characteristics that are given to the transactional database. There some indirect dependences, which refer to the relationship between discontinuous activities in business activities. To recognize anomaly detection for business process is the hindmost goal.

Key Words

Clustering, Association rule, Indirect dependency

Cite This Article

"APPLYING ASSOCIATION RULE MINING FOR INDIRECT DEPENDENCIES ELIMINATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 3, page no. pp1674-1679, March-2020, Available at : http://www.jetir.org/papers/JETIR2003240.pdf

Publication Details

Published Paper ID: JETIR2003240
Registration ID: 229727
Published In: Volume 7 | Issue 3 | Year March-2020
DOI (Digital Object Identifier):
Page No: 1674-1679
ISSN Number: 2349-5162

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Cite This Article

"APPLYING ASSOCIATION RULE MINING FOR INDIRECT DEPENDENCIES ELIMINATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 3, page no. pp1674-1679, March-2020, Available at : http://www.jetir.org/papers/JETIR2003240.pdf




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