NDLI: Novel Cloud Subset Preserving Mining (CSPM) algorithm for association rule mining in centralized database

Content Provider	IEEE Xplore Digital Library
Author	Agarwal, V. Khandagre, Y. Dubey, A.K.
Copyright Year	2012
Description	Author affiliation: AP, Dept. of EC, T.I.T.R, Bhopal, India (Agarwal, V.; Khandagre, Y.) \|\| Head and AP, Dept. of Computer Science, T.I.T.R, Bhopal, India (Dubey, A.K.)
Abstract	The recent advancement in data mining technology to analyze vast amount of data has played an important role in several areas of Business processing. Data mining also opens new threats to privacy and information security if not done or used properly. The main problem is that from non-sensitive data, one is able to infer sensitive information, including personal information, fact or even patterns which are generated by any algorithm of data mining. In order to focusing on privacy preserving association rule mining, the simplistic solution to address the problem of privacy is presented. The solution is to survey different aspects which are discussed in the several research papers and after analyzing those research papers conclude a new solution which is best in efficiency and performance. In this paper we propose a novel algorithm named Cloud Subset Preserving Mining (CSPM). The entire system architecture consists of three phases: 1) Check for Authentication. 2) Reading the database. 3) Perform Pruning. Our algorithm is a good way to apply data mining techniques with security that hides our logical instances from others. The all the operations are performed in cloud computing environment.
Starting Page	1
Ending Page	5
File Size	273813
Page Count	5
File Format	PDF
ISBN	9781457707254
e-ISBN	9781457707261
DOI	10.1109/ICTEE.2012.6208647
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-01-03
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Association Rule Mining Data privacy Cloud computing Privacy CSPM Databases Data Mining Association rules Privacy Preserving
Content Type	Text
Resource Type	Article

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