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ADC
2007
Springer
140views Database» more  ADC 2007»
14 years 1 months ago
Incremental Mining for Temporal Association Rules for Crime Pattern Discoveries
In recent years, the concept of temporal association rule (TAR) has been introduced in order to solve the problem on handling time series by including time expressions into associ...
Vincent T. Y. Ng, Stephen Chi-fai Chan, Derek Lau,...
ICALT
2005
IEEE
14 years 1 months ago
Mining Learner Profile Utilizing Association Rule for Common Learning Misconception Diagnosis
With the rapid growth of computer and Internet technologies, e-learning has become a major trend in the computer assisted teaching and learning fields. Most past researches for we...
Chih-Ming Chen, Ying-Ling Hsieh
ESEM
2008
ACM
13 years 9 months ago
A hybrid faulty module prediction using association rule mining and logistic regression analysis
This paper proposes a fault-prone module prediction method that combines association rule mining with logistic regression analysis. In the proposed method, we focus on three key m...
Yasutaka Kamei, Akito Monden, Shuuji Morisaki, Ken...
JCST
2008
119views more  JCST 2008»
13 years 7 months ago
Mining Frequent Generalized Itemsets and Generalized Association Rules Without Redundancy
This paper presents some new algorithms to efficiently mine max frequent generalized itemsets (g-itemsets) and essential generalized association rules (g-rules). These are compact ...
Daniel Kunkle, Donghui Zhang, Gene Cooperman
DASFAA
2007
IEEE
159views Database» more  DASFAA 2007»
14 years 1 months ago
Mining Vague Association Rules
In many online shopping applications, traditional Association Rule (AR) mining has limitations as it only deals with the items that are sold but ignores the items that are almost s...
An Lu, Yiping Ke, James Cheng, Wilfred Ng