UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

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

Volume 5 Issue 12
December-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1812849


Registration ID:
193428

Page Number

299-302

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Title

A Survey on Predictive Data Mining

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Abstract

Abstract : In this paper, the author focuses towards data mining problems and the need for new techniques and algorithms. In this broad area, to extract the knowledgeable data many techniques were followed. Their importance was also discussed. Among the various tasks to extract the useful knowledgeable data, the paper focuses towards predictive analysis in data mining. They have the capability to compare past success and failures and use those results to predict the future outcomes. A detailed survey of various predictive models and some survey papers are also analyzed. Various data mining techniques and tools, that are used in the extraction of knowledgeable data was also presented.

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"A Survey on Predictive Data Mining ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.299-302, December-2018, Available :http://www.jetir.org/papers/JETIR1812849.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

"A Survey on Predictive Data Mining ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp299-302, December-2018, Available at : http://www.jetir.org/papers/JETIR1812849.pdf

Publication Details

Published Paper ID: JETIR1812849
Registration ID: 193428
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier):
Page No: 299-302
Country: Karaikudi, Tamil Nadu, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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