A NOVEL METHOD FOR FINDING PRIVACY PRESERVING ASSOCIATION RULE MINING
Journal Title: Indian Journal of Computer Science and Engineering - Year 2012, Vol 3, Issue 1
Abstract
Association rule mining is one of the significant research areas which explore the association between various item sets. The issue of privacy arises when several legitimate people share their data or knowledge for their mutual benefits. In case of centralized database, sensitive item sets are hidden by using association rule hiding approaches. Based on the execution time, the degree of optimality, the level of tolerance of side effects and guaranteed to get solution different association rule hiding approaches are exist. Among the commonly used approaches, heuristic approach is widely used since it guarantees to provide solution but causes some side effects. In this paper a heuristic based methodology is proposed to hide the sensitive item sets efficiently by adopting two criterions. This methodology protects private information by doing sanitization process but before participating in the sanitization process, the method analysis the side effects and select the most promising one to change so that side effects can be fully avoided or accepting few side effects which will not harm the informational accuracy.
Authors and Affiliations
N V Muthu lakshmi , Dr. K Sandhya Rani
Keywords
Related Articles
- EP ID EP92520
- DOI -
- Views 146
- Downloads 0
Comparison between simulations of different RBSD Adder Circuits
Adders are the key element of the arithmetic unit, especially fast parallel adder. Redundant Binary Signed Digit (RBSD) adders are designed to perform high-speed arithmetic operations. The RBSD Number System is gaining p...
ON ROAD VEHICLE/OBJECT DETECTION AND TRACKING USING TEMPLATE
Vehicle tracking and detection plays an important role in traffic surveillance, still a crucial task in many applications. Till now, there is no standard method developed. Template matching is one of the methods used for...
EXPRESSION-INDEPENDENT FACE RECOGNITION USING BIOLOGICALLY INSPIRED FEATURES
This paper presents an effective two-dimensional Expression-Independent face recognition method, based on features inspired by the human’s visual ventral stream. A feature set is extracted by means of a feed-forward mode...
A REVIEW: COMPARISON OF COOPERATIVE SCHEDULING MECHANISMS IN P2P COMPUTING SYSTEM
Grid computing is an upcoming technology which combines the resources from different locations to solve large tasks.Peer to peer (P2P) computing is a kind of computing in which large number of computers are connected thr...
PRTVBase: A Predicted promoter data base of Retro transcribing virus
Database having the information of viral promoters is highly required for molecular basis of virology study. In this work the data base of the predicted promoters of the all retro transcribing genome available in the NCB...