Title :
The Logic Properties of Association Rules and its Application
Author_Institution :
Sch. of Educ. Inf. & Technol., South China Normal Univ., Guangzhou
Abstract :
In this paper it firstly attends to the theoretical foundations of data mining technologies, especially the association rules discovering. Several classes of association rules are defined such as transitive quantifiers, double transitive quantifiers and founded-equivalent transitive quantifiers, e.t. and discussed these properties of some 4ft quantifiers. Then based on the procedure 4ft-Miner some experiments was turn out and the flexible result was excellent. In the later give their relationship among them and the future works about this problem.
Keywords :
Boolean functions; data mining; set theory; Boolean attribute; association rule mining; data mining technology; item set; logic property; Association rules; Data analysis; Data mining; Educational technology; Electronic mail; Information technology; Logic; association rules; data mining; transitive quantifier;
Conference_Titel :
Intelligent Information Technology Application Workshops, 2008. IITAW '08. International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3505-0
DOI :
10.1109/IITA.Workshops.2008.31
