UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 8
August-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIRA006223


Registration ID:
186724

Page Number

1280-1282

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Title

MAINTENANCE TASK OF AN ERP SYSTEM BY USING DATA MINING TECHNIQUES: A STUDY

Authors

Abstract

This paper examines how the maintenance task is carried out post implementation of an ERP system. It also checks the reliability and validity of the data estimated in an ERP system. Descriptive research helps in the study of the complete characteristic of a phenomenon. It is widely deployed to assess association between the variables and it involves utilization of different statistical tests to analyse the primary data of an Educational ERP (e_ERP) systems.

Key Words

Maintenance, Reliability, Validity, Descriptive research, e_ERP, Statistical tests

Cite This Article

"MAINTENANCE TASK OF AN ERP SYSTEM BY USING DATA MINING TECHNIQUES: A STUDY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.1280-1282, August-2018, Available :http://www.jetir.org/papers/JETIRA006223.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

"MAINTENANCE TASK OF AN ERP SYSTEM BY USING DATA MINING TECHNIQUES: A STUDY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp1280-1282, August-2018, Available at : http://www.jetir.org/papers/JETIRA006223.pdf

Publication Details

Published Paper ID: JETIRA006223
Registration ID: 186724
Published In: Volume 5 | Issue 8 | Year August-2018
DOI (Digital Object Identifier):
Page No: 1280-1282
Country: -, --, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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