UGC Approved Journal no 63975(19)

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

Volume 5 Issue 11
November-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIRDS06045


Registration ID:
232150

Page Number

288-291

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Title

Appliance of Data Mining In Knowledge Management

Abstract

Abstract : Mining of data is the process of digging out the constructive patterns from data warehouse which were further used for auxiliary analysis. It is one of the imperative steps of Knowledge Discovery Process. The preliminary part of this paper converse the impression of data mining next to various data mining tasks and the later part of this paper focuses on Knowledge Discovery Process .The final segment of this paper focuses on the applications of data mining in different areas of Knowledge management.

Key Words

Keywords: Data Mining, Data warehouse, Knowledge Discovery Process, Knowledge Management.

Cite This Article

"Appliance of Data Mining In Knowledge Management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.288-291, November 2018, Available :http://www.jetir.org/papers/JETIRDS06045.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

"Appliance of Data Mining In Knowledge Management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp288-291, November 2018, Available at : http://www.jetir.org/papers/JETIRDS06045.pdf

Publication Details

Published Paper ID: JETIRDS06045
Registration ID: 232150
Published In: Volume 5 | Issue 11 | Year November-2018
DOI (Digital Object Identifier):
Page No: 288-291
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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