UGC Approved Journal no 63975(19)

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

Volume 5 Issue 3
March-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1803157


Registration ID:
180735

Page Number

823-827

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Title

LOCATION BASED PRIVACY PRESERVING OUTSOURCED ASSOCIATION RULE MINING ON VERTICALLY PARTITIONED DATABASES

Abstract

Mining the frequent item sets or association rules on a vertically partitioned databases in a secure manner is quite challenging. Identifying the frequent item set and association rules plays an important role in market basket analysis.Each data owners do not want to disclose their transaction details to other data owners.So by securing the data of each data owners helps to get their results securely without leaking the transaction details from a joint database. We propose another method for privacy preserving by identifying location of each data owner who put their data into a joint database.It helps to get the location of each data owners who wish to learn the frequent item sets or association rules and also adding an extra feature of viewing the number frequency of each items.

Key Words

Association rule mining ,Frequent itemset mining ,Frequency checking ,Location Identifying ,Privacy preserving Data mining

Cite This Article

"LOCATION BASED PRIVACY PRESERVING OUTSOURCED ASSOCIATION RULE MINING ON VERTICALLY PARTITIONED DATABASES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 3, page no.823-827, March-2018, Available :http://www.jetir.org/papers/JETIR1803157.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

"LOCATION BASED PRIVACY PRESERVING OUTSOURCED ASSOCIATION RULE MINING ON VERTICALLY PARTITIONED DATABASES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 3, page no. pp823-827, March-2018, Available at : http://www.jetir.org/papers/JETIR1803157.pdf

Publication Details

Published Paper ID: JETIR1803157
Registration ID: 180735
Published In: Volume 5 | Issue 3 | Year March-2018
DOI (Digital Object Identifier):
Page No: 823-827
Country: Pazhayi P.O, Thrissur, kerala, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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