Computation of Reducts Using Topology and Measure of Significance of Attributes

Details Computation of Reducts Using Topology and Measure of Significance of Attributes Computation of Reducts Using Topology and Measure of Significance of Attributes

2010-03-22

arxiv.org/abs/1003.4067v1

Journal of Computing, Volume 2, Issue 3, March 2010, https://sites.google.com/site/journalofcomputing/

Computer Science

Information Retrieval

Scientific paper

Data generated in the fields of science, technology, business and in many other fields of research are increasing in an exponential rate. The way to extract knowledge from a huge set of data is a challenging task. This paper aims to propose a hybrid and viable method to deal with an information system in data mining, using topological techniques and the significance of the attributes measured using rough set theory, to compute the reduct, This will reduce the randomness in the process of elimination of redundant attributes, which, in turn, will reduce the complexity of the computation of reducts of an information system where a large amount of data have to be processed.

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