Several Considerations on Statistical Test Rule Induction Method

DOI

10.2991/icista.2013.7How to use a DOI?

Keywords

Rough Sets, Rule Induction, Decision Table, Simulation Experiment, If-then Rules

Abstract

STRIM (Statistical Test Rule Induction Method) has been proposed as a method to effectively induct if-then rules from the decision table. The method was studied independently of the conventional rough sets methods. This paper summarizes the basic concept of STRIM, considers the relationship between STRIM and conventional methods, especially VPRS (Variable Precision Rough Set), and shows that STRIM develops the notion of VPRS into a statistical principle. In a simulation experiment, we also consider the condition that STRIM inducts the true rules specified in advance, as such conditions have not yet been studied, even in VPRS. Examination of the conditions is very important if STRIM is properly applied to a set of real-world data set.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yuichi Kato
AU  - Tetsuro Saeki
AU  - Shoutarou Mizuno
PY  - 2013/06
DA  - 2013/06
TI  - Several Considerations on Statistical Test Rule Induction Method
BT  - Proceedings of the 2013 International Conference on Information Science and Technology Applications (ICISTA-2013)
PB  - Atlantis Press
SP  - 25
EP  - 30
SN  - 1951-6851
UR  - https://doi.org/10.2991/icista.2013.7
DO  - 10.2991/icista.2013.7
ID  - Kato2013/06
ER  -