Hiding Rare Association Rules to Maintain Privacy in Distributed Database
| Author(s) | : | Ms. Shweta Gandevia, Mr. Mohit Patel |
| Institution | : | Department of Computer Science and Engineering, PIT Vadodara |
| Published In | : | Vol. 3, Issue 5 — May 2016 |
| Page No. | : | 146-150 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Innovation of technology in our world has expanded drastically. People like to use the applications that caneasier their work in every day’s life. A Distributed Database is a database in which portions of the database are stored atmultiple locations within a network. In such Situations, data owners may be concerned with the misuse of data; hencethey do not want their data to be mined, especially when these contain sensitive information. Privacy Preserving DataMining (PPDM) aims to protect data privacy in the course of data mining. In this proposed work Mining the itempatterns(Association Rules) using the MIS Tree generation in a distributed manner, thus there is a generation of bothfrequent as well as rare itemsets from those selecting sensitive itemsets and provide privacy to them to protect theinformation by providing privacy preserving technique
Ms. Shweta Gandevia, Mr. Mohit Patel, “Hiding Rare Association Rules to Maintain Privacy in Distributed Database”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 5, pp. 146-150, May 2016.
