DOIONLINE

DOIONLINE NO - IJAECS-IRAJ-DOIONLINE-7691

Publish In
International Journal of Advances in Electronics and Computer Science-IJAECS
Journal Home
Volume Issue
Issue
Volume-4,Issue-4  ( Apr, 2017 )
Paper Title
Data Mining Technique for Reduction of Association Rules in Distributed System
Author Name
Satyanarayana Challa, Dhana Lakshmi Popuri
Affilition
Pursuing I MTech CSE, Department of Computer Science & Engineering, GVR&S College of Engineering and Technology, Guntur, Andhra Pradesh
Pages
43-46
Abstract
In today's world, there are number of transactions can be performed on social media. In such distributed environment where timely accessing of data is important, it becomes difficult to generate strong association rules. So it is necessary to reduce these rules for increasing rule reduction rate. This paper uses w-Tabular algorithm which combines weight assignment method and Quine-Mccluskey method which increases data processing time in distributed system. Keywords - Association Rule Mining; Data Mining; Distributed Data Mining; Frequent Item Sets Mining; Reduction Framework.
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