A Review of Privacy Clustered Mining of Association Rules in Distributed Databases
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 109 | Views: 360

Survey Paper | Computer Science & Engineering | India | Volume 3 Issue 10, October 2014 | Popularity: 6.3 / 10


     

A Review of Privacy Clustered Mining of Association Rules in Distributed Databases

Vanita Babane, Shital K.Somawar


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.


Keywords: Privacy preserving data mining, Distributed Computation, Association rules


Edition: Volume 3 Issue 10, October 2014


Pages: 1757 - 1758



Please Disable the Pop-Up Blocker of Web Browser

Verification Code will appear in 2 Seconds ... Wait



Text copied to Clipboard!
Vanita Babane, Shital K.Somawar, "A Review of Privacy Clustered Mining of Association Rules in Distributed Databases", International Journal of Science and Research (IJSR), Volume 3 Issue 10, October 2014, pp. 1757-1758, https://www.ijsr.net/getabstract.php?paperid=OCT14648, DOI: https://www.doi.org/10.21275/OCT14648

Top