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» Mining Association Rules: Anti-Skew Algorithms
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DATAMINE
2006
130views more  DATAMINE 2006»
13 years 7 months ago
Mining Adaptive Ratio Rules from Distributed Data Sources
Different from traditional association-rule mining, a new paradigm called Ratio Rule (RR) was proposed recently. Ratio rules are aimed at capturing the quantitative association kno...
Jun Yan, Ning Liu, Qiang Yang, Benyu Zhang, QianSh...
EUSFLAT
2007
103views Fuzzy Logic» more  EUSFLAT 2007»
13 years 9 months ago
Measuring Variation Strength in Gradual Dependencies
In this paper we extend a previous definition of gradual dependence as a special kind of (crisp) association rule, in order to measure not only the existence of a tendency, but i...
Carlos Molina, José-María Serrano, D...
PAKDD
2005
ACM
94views Data Mining» more  PAKDD 2005»
14 years 1 months ago
Progressive Sampling for Association Rules Based on Sampling Error Estimation
We explore in this paper a progressive sampling algorithm, called Sampling Error Estimation (SEE), which aims to identify an appropriate sample size for mining association rules. S...
Kun-Ta Chuang, Ming-Syan Chen, Wen-Chieh Yang
AUSDM
2007
Springer
84views Data Mining» more  AUSDM 2007»
14 years 1 months ago
Detecting Anomalous Longitudinal Associations Through Higher Order Mining
The detection of unusual or anomalous data is an important function in automated data analysis or data mining. However, the diversity of anomaly detection algorithms shows that it...
Ping Liang, John F. Roddick
AI
2003
Springer
14 years 27 days ago
Efficient Mining of Indirect Associations Using HI-Mine
Discovering association rules is one of the important tasks in data mining. While most of the existing algorithms are developed for efficient mining of frequent patterns, it has be...
Qian Wan, Aijun An