A Review of Privacy Clustered Mining of Association Rules in Distributed Databases
Journal: International Journal of Science and Research (IJSR) (Vol.3, No. 10)Publication Date: 2014-10-05
Authors : Vanita Babane; Shital K.Somawar;
Page : 1757-1758
Keywords : Privacy preserving data mining; Distributed Computation; Association rules;
Abstract
With the use of protocol, secure mining of association rules in distributed database can be takes place. Some of the protocols based on the FDM (fast distributed mining) which consist of unsecured version of Apriori Algorithm. Thus different ways are presented by various researchers to overcome the problem of unsecure mining of association rules. In this paper a protocol containing two novel secure multiparty algorithms are proposed to overcome these problems.
Other Latest Articles
- Influence of Working Capital Management on Profitability of Non Deposit-Taking Microfinance Institutions in Kenya: A Survey of Non Deposit-Taking MFIs in Nakuru East Sub-County
- Comparison of Convergence and BER Performance on LMS, RLS and NLMS in BPLC Systems
- Effects of Monitoring and Evaluation Frameworks on Service Delivery in the Health Sector In Uganda
- Common Gateway Interface
- Preparation of (PVA-PEG-PVP-MgO, CoO) Nanocomposites and Study their Optical Properties
Last modified: 2021-06-30 21:10:56