Title

Application of Granular Computing Paradigm in Knowledge Induction

Document Type

Article

Publication Date

2017

Publication Title

International Journal of Information and Communication Engineering

Keywords

Concept approximation, granular computing, reducts, rough set theory, rule induction

Disciplines

Business | Business Analytics | Management Information Systems

Abstract

This paper illustrates an application of granular computing approach, namely rough set theory in data mining. The paper outlines the formalism of granular computing and elucidates the mathematical underpinning of rough set theory, which has been widely used by the data mining and the machine learning community. A real-world application is illustrated, and the classification performance is compared with other contending machine learning algorithms. The predictive performance of the rough set rule induction model shows comparative success with respect to other contending algorithms.

DOI

10.5281/zenodo.1132435

Volume

11

Issue

10

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