Probability measures for prediction in multi-table infomation systems

Authors:
R. S. Milton;V. Uma Maheswari;Arul Siromoney
Affiliations:
Department of Computer Science, Madras Christian College, Chennai, India;Department of Computer Science and Engineering, College of Engineering, Anna University, Chennai, India;Department of Computer Science and Engineering, College of Engineering, Anna University, Chennai, India
Venue:
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Year:
2005

Citing 3
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Abstract

Rough Set Theory is a mathematical tool to deal with vagueness and uncertainty. Rough Set Theory uses a single information table. Relational Learning is the learning from multiple relations or tables. This paper presents a new approach to the extension of Rough Set Theory to multiple relations or tables. The utility of this approach is shown in classification experiments in predictive toxicology.