The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 31-972
Full Name: Jian Hu
Position: Student
Age: ON
Sex: Male
Address: Harbin Institute of Technology,Harbin, Heilongjiang Province, P. R. China
Country: CHINA
Tel: 08613654582287
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Fax:
E-mail address: jianhu-hit@163.com
Other E-mails: sjh1009@163.com
Title of the Paper: Association Rules Mining Including Weak-Support Modes Using Novel Measures
Authors as they appear in the Paper: JIAN HU, XIANG YANG-LI
Email addresses of all the authors: jianhu-hit@163.com,sjh1009@163.com
Number of paper pages: 10
Abstract: In association rules mining application, some rules can provide a lot of useful knowledge for us, though these rules have the lower Support, called weak-support mode in this paper. However, in existing Support-Confidence framework, the rules with lower Support will be lost. Thus, this paper puts forward a new association rules mining technique, which sets up the lower support threshold value to ensure the weak-support rules to be mined and applies Csupport measure to recognise weak-support mode. Then, a new measure, called as N-confidence, is used to restrict mining size in generation frequent sets, which can strain away the weak-support rules without correlation. Furthermore, this paper puts forward a new interesting measure to distinguish from the association rules interesting degree. In order to enhance mining efficiency, a novel algorithm, namely FT-Miner, is presented to discover association rules in a forest by using two new data structures, including UFP-Tre!
e and FP-Forest. The experimentation shows that the algorithm not only mines useful and weak-support rules, but also has better capability than classical association rules mining algorithms.
Keywords: Data mining; Association rules; Weak-support mode; UFP-Tree; FP-Forest
EXTENSION of the file: .pdf
Special (Invited) Session: Data mining
Organizer of the Session:
How Did you learn about congress: Jian Hu,Harbin Institute of Technology,Harbin, Heilongjiang Province, P. R. China,jianhu-hit@163.com
IP ADDRESS: 202.118.242.53
