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KDD
1998
ACM
131views Data Mining» more  KDD 1998»
14 years 2 months ago
Interestingness-Based Interval Merger for Numeric Association Rules
We present an algorithm for mining association rules from relational tables containing numeric and categorical attributes. The approach is to merge adjacent intervals of numeric v...
Ke Wang, Soon Hock William Tay, Bing Liu
BIBE
2009
IEEE
210views Bioinformatics» more  BIBE 2009»
14 years 4 months ago
Analysis of Autism Prevalence and Neurotoxins Using Combinatorial Fusion and Association Rule Mining
- The increase in autism prevalence has been the motivation for much research which has produced various theories for its causation. Genetic and environmental factors have been inv...
Christina Schweikert, Yanjun Li, David Dayya, Davi...
ICDM
2006
IEEE
132views Data Mining» more  ICDM 2006»
14 years 3 months ago
Mining for Tree-Query Associations in a Graph
New applications of data mining, such as in biology, bioinformatics, or sociology, are faced with large datasets structured as graphs. We present an efficient algorithm for minin...
Eveline Hoekx, Jan Van den Bussche
AUSDM
2007
Springer
84views Data Mining» more  AUSDM 2007»
14 years 4 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
ICDE
2003
IEEE
246views Database» more  ICDE 2003»
14 years 11 months ago
Mining Customer Value: From Association Rules to Direct Marketing
Ke Wang, Senqiang Zhou, Jack Man Shun Yeung, Qiang...