UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 3 | March 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

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

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2003240


Registration ID:
229727

Page Number

1674-1679

Share This Article


Jetir RMS

Title

APPLYING ASSOCIATION RULE MINING FOR INDIRECT DEPENDENCIES ELIMINATION

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), ISSN:2349-5162, Vol.7, Issue 3, page no.1674-1679, March-2020, Available :http://www.jetir.org/papers/JETIR2003240.pdf

ISSN


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

"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
Country: Sivagangai, Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0003019

Print This Page

Current Call For Paper

Jetir RMS