UGC Approved Journal no 63975(19)

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

Volume 6 Issue 3
March-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIRAQ06014


Registration ID:
201676

Page Number

71-73

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Title

AN OVERVIEW OF DATA MINING USING CLUSTERING AND CLASSIFICATION

Abstract

Data mining is used extract the data from huge database. Now a day’s many large set of database are used in day today life, mining becoming popular in sectors. Application used in areas such as showbiz, academic area, health sector, banking, commercial etc.,. Clustering is grouping the similar set of data.it help the user to understand the data easily. Clustering :unsupervised learning Finds “natural” grouping of instances given un-labeled data. Classification is a process related to categorization, the process in which ideas and objects are recognized, differentiated, and understood.

Key Words

Clustering, Classification, Application areas.

Cite This Article

"AN OVERVIEW OF DATA MINING USING CLUSTERING AND CLASSIFICATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.71-73, March-2019, Available :http://www.jetir.org/papers/JETIRAQ06014.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

"AN OVERVIEW OF DATA MINING USING CLUSTERING AND CLASSIFICATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp71-73, March-2019, Available at : http://www.jetir.org/papers/JETIRAQ06014.pdf

Publication Details

Published Paper ID: JETIRAQ06014
Registration ID: 201676
Published In: Volume 6 | Issue 3 | Year March-2019
DOI (Digital Object Identifier):
Page No: 71-73
Country: -, -, + .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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