Several Considerations on Statistical Test Rule Induction Method
Yuichi Kato, Tetsuro Saeki, Shoutarou Mizuno
Available Online June 2013.
- 10.2991/icista.2013.7How to use a DOI?
- Rough Sets, Rule Induction, Decision Table, Simulation Experiment, If-then Rules
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.
- © 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/).
Cite this article
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 -