NDLI: Privacy preserving association rule mining over distributed databases using genetic algorithm

Content Provider	Springer Nature Link
Author	Keshavamurthy, Bettahally N. Khan, Asad M. Toshniwal, Durga
Copyright Year	2013
Abstract	Privacy preservation in distributed database is an active area of research. With the advancement of technology, massive amounts of data are continuously being collected and stored in distributed database applications. Indeed, temporal associations and correlations among items in large transactional datasets of distributed database can help in many business decision-making processes. One among them is mining frequent itemset and computing their association rules, which is a nontrivial issue. In a typical situation, multiple parties may wish to collaborate for extracting interesting global information such as frequent association, without revealing their respective data to each other. This may be particularly useful in applications such as retail market basket analysis, medical research, academic, etc. In the proposed work, we aim to find frequent items and to develop a global association rules model based on the genetic algorithm (GA). The GA is used due to its inherent features like robustness with respect to local maxima/minima and domain-independent nature for large space search technique to find exact or approximate solutions for optimization and search problems. For privacy preservation of the data, the concept of trusted third party with two offsets has been used. The data are first anonymized at local party end, and then, the aggregation and global association is done by the trusted third party. The proposed algorithms address various types of partitions such as horizontal, vertical, and arbitrary.
Starting Page	351
Ending Page	364
Page Count	14
File Format	PDF
ISSN	09410643
Journal	Neural Computing and Applications
Volume Number	22
Issue Number	1
e-ISSN	14333058
Language	English
Publisher	Springer-Verlag
Publisher Date	2013-02-23
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Privacy preservation Distributed databases Genetic algorithm Association rules mining Trusted third-party computation Artificial Intelligence (incl. Robotics) Data Mining and Knowledge Discovery Probability and Statistics in Computer Science Computational Science and Engineering Image Processing and Computer Vision Computational Biology/Bioinformatics
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Software

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