Title :
Privacy preserving heuristic approach for association rule mining in distributed database
Author :
Mistry, Bhoomika R. ; Desai, Amish
Author_Institution :
Comput. Sci. & Eng, Parul Inst. of Technol., Vadodara, India
Abstract :
Association rule mining is a powerful model of data mining used for finding hidden patterns in large databases. The challenges of data mining is to secure the confidentiality of sensitive patterns when releasing database of third parties. Privacy Preserving in this paper is used as hide association rule. Association rule hiding algorithm sanitize database such that certain sensitive association rule cannot be discovered through Association rule mining techniques. There are various approach this describe in this paper but used the Heuristic approach in Data Distortion Technique. The proposed algorithm is the extension of MDSRRC algorithm, which hides multiple R.H.S items. In Proposed work MDSRRC algorithm works on the distributed database. We will show experimental results in comparisons with MDSRRC algorithm in single database and MDSRRC algorithm in distributed database.
Keywords :
data mining; data privacy; distributed databases; MDSRRC algorithm; association rule hiding algorithm; association rule mining techniques; data distortion technique; data mining; distributed database; multiple R.H.S item hiding; privacy preserving heuristic approach; Association rules; Complexity theory; Cryptography; Distributed databases; Sensitivity; Data Mining Privacy preserving; association rule hiding; sensitivity;
Conference_Titel :
Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-6817-6
DOI :
10.1109/ICIIECS.2015.7192972