UGC Approved Journal no 63975(19)

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

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR1812639


Registration ID:
193661

Page Number

271-275

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Title

From Frequent Itemset To Knowledge Discovery in Crime Database

Abstract

Data mining or knowledge discovery is the computer assisted process of digging through analyzing enormous sets of data and then extracting the meaning of the data. It is used to extract information from large voluminous databases. Data mining is the important task in knowledge discovery process and also well established field in computer science. In recent years data mining is applied into both commercial and scientific purposes.

Key Words

KDD, Decision tree, SPM, Apriori, ARM

Cite This Article

"From Frequent Itemset To Knowledge Discovery in Crime Database", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.271-275, December-2018, Available :http://www.jetir.org/papers/JETIR1812639.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

"From Frequent Itemset To Knowledge Discovery in Crime Database", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp271-275, December-2018, Available at : http://www.jetir.org/papers/JETIR1812639.pdf

Publication Details

Published Paper ID: JETIR1812639
Registration ID: 193661
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier):
Page No: 271-275
Country: MADIPAKKAM, TAMIL NADU, India .
Area: Science
ISSN Number: 2349-5162
Publisher: IJ Publication


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