Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Data Mining on Privacy Protected Data using Naïve Bayes Algorithm

Author : Mr. Pankaj Jogi 1 Mr.Shubham Purankar 2 Ms. SamikshaPinge 3 Ms. Urvashi Ingale 4 Ms. Neha Mahalle 5 Prof.V.S. Mahalle 6

Date of Publication :9th March 2017

Abstract: Data mining has become an essential player in determining future business strategies. Data mining helps identifying patterns and trends from large amount of data, which can be used for reducing cost, increasing revenue and many more. With increased use of various data mining technologies and larger storage devices, amount of data collected and stored is significantly increased. This data contains personal information like credit card details, contact and residential information, etc. All these reasons have made it inevitable to concentrate on privacy of the data. In order to alleviate privacyconcerns, a number of techniques have recently been proposed to perform the data mining in privacy preserving way

Reference :

    1. Murat kantarcioglu and Jaideep Vaidya “PrivacyPreservation Naive Bayes Classifierfor Horizontally partitioned data”. Purdue university.
    2. Dr. Lokanatha C. Reddy, “A review on Data mining from Past the Future”, International Journal of Computer Applications (0975-8887) Volume 15- No. 7, February 2011.
    3. Usama Fayyad ,Gregory Piatetsfy-Shapiro, and Padhraic Smyth, “Data Mining to knowledge Discovery in Databases”, AI Magazine Volume 17 Number 3 (1996).
    4. Kalyani M Raval,“Data Mining Technique”, International Journal of Advance Research in Computer Science and Software Engineering Volume 2, Issue1, October 2012.
    5. Jharna Chopra, SampadaSatav “PRIVACY PRESERVATION TECHNIQUES IN DATA MINING”, International Journal of Research in Engineering and Technology,ISSN: 2319-1163,Volume: 02 Issue: 04 | Apr2013.

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