Title :
Method for Discovering Actionable Rule
Author :
Zhu, Heng-Min ; Huang, Wei-Dong ; Zheng, Hui-Song
Author_Institution :
Nanjing Univ. of Posts & Telecommun., Nanjing
Abstract :
An important task for data mining is to discover interesting rules for the user. Interesting rules not only are novel to users, but also must be actionable to the user. A method to discover actionable rule is proposed in this paper. It adopts rule template to represent user´s preference for actionable rule form. The concept of conformability measure of discovered rule relative to rule template is proposed. The factors which affect rule actionability are discussed and function to measure rule actionability is given. Experimental result shows that the method is effective.
Keywords :
data mining; actionable rule discovery; conformability measure; data mining; rule template; Data mining; Databases; Educational institutions; Induction generators; Uncertainty;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
DOI :
10.1109/FSKD.2007.395