Efficient Data Mining in SAMS through Association Rule

Mr. Rahul B. Diwate; Prof. Amit Sahu

We propose a protocol for secure mining of association rules in distributed databases. Previous techniques all people deals with different database, now a day’s people also deals with the distributed database. Can we develop a kind of application in which the people can access the distributed data which is already store in remote location in encrypted format? This proposes system technique is used for efficient data mining in SAMS (Student Assessment Management System) through association rules in distributed databases. The current leading techniques are that of Kantarcioglu and Clifton. This proposed system is ready to implements two methods, one that computes the union of private subsets that each of the interacting users hold, and another that tests the inclusion of an element held by one user in a subset held by another .We propose a protocol for secure mining through association rule consist a different level of execution process to secure storage of data and access of data. This paper will focus on such process for secure storage plus secure access of data.

Select Volume / Issues:

• Volume 5,Issue 3,May 2014

Year:

2014

Type of Publication:

Article

Keywords:

Association Rule; Cache memory; Process Log; Cloud; Encryption

Journal:

IJECCE

Volume:

5

Number:

3

Pages:

593-597

Month:

May