Title :
An association based approach to discovering ordering rules
Author :
Liu, Da-zhong ; Gao, Yuan ; Zhao, Jian-ping
Author_Institution :
Sch. of Math. & Comput. Sci., Hebei Univ., Baoding
Abstract :
The work presented in this paper focuses on discovering ordering rules between ordinal attributes. Generally speaking, rough set theory is the foundation of many algorithms of mining ordering rules. We provide a new approach using algorithm of mining association rules to solve this problem. The key to the problem is to transform information tables into transaction database. The comparison results demonstrate that our method can find more interesting ordering rules.
Keywords :
data mining; rough set theory; association based approach; association rules mining; ordering rules discovery; rough set theory; transaction database; Artificial intelligence; Association rules; Computer science; Cybernetics; Data mining; Information systems; Machine learning; Mathematics; Set theory; Transaction databases; Association rules; Data mining; Ordinal information table; Ordinal rules;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4620404