On Rough Set Modelling for Data Mining
Journal Title: International Journal on Computer Science and Engineering - Year 2012, Vol 4, Issue 10
Abstract
Many problems in real world can be explained in natural languages. Rough Set Theory is defined with many operations, rules extended from classical set theory and is widely used to model systems related to data mining. The paper is a description of Rough Set Theory and an illustration of modeling a real world problem based on Rough set approximations.
Authors and Affiliations
V S Jeyalakshmi , G Ariprasad
Keywords
Related Articles
- EP ID EP98096
- DOI -
- Views 119
- Downloads 0
ADAPTIVE RESONANCE THEORY (ART1) APPROACH IN CBIR SYSTEM
In these days an image retrieval system has become a challenging task. Many systems based on the text based retrieval but the need of image based retrieval system that takes an image as the input query and retrieves imag...
Visual Data Mining in Indian Election System
A good leaders or Government is the basic need to develop country. In India, who is largest democratic country in the world people are not fully involved in the selection process of Leaders. On an average there are 60-65...
Shortest Distance Message Broadcasting for an Applications in an irregular Mobile Topologies
This paper introduces data forwarding algorithm for a articular applications within Mobile Adhoc etworks that is based on the concept of electing the neighbor node from a set of esignated nodes. The algorithm, which...
A NEW PRUNING APPROACH FOR BETTER AND COMPACT DECISION TREES
The development of computer technology has enhanced the people’s ability to produce and collect data. Data mining techniques can be effectively utilized for analyzing the data to discover hidden knowledge. One of the wel...
Intrusion Detection using unsupervised learning
Clustering is the one of the efficient datamining techniques for intrusion detection. In clustering algorithm kmean clustering is widely used for intrusion detection. Because it gives efficient results incase of huge dat...