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» Discovering associations with numeric variables
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KDD
1999
ACM
184views Data Mining» more  KDD 1999»
13 years 9 months ago
Mining Optimized Gain Rules for Numeric Attributes
—Association rules are useful for determining correlations between attributes of a relation and have applications in the marketing, financial, and retail sectors. Furthermore, op...
Sergey Brin, Rajeev Rastogi, Kyuseok Shim
VLDB
2005
ACM
125views Database» more  VLDB 2005»
13 years 10 months ago
Using Association Rules for Fraud Detection in Web Advertising Networks
Discovering associations between elements occurring in a stream is applicable in numerous applications, including predictive caching and fraud detection. These applications requir...
Ahmed Metwally, Divyakant Agrawal, Amr El Abbadi
JGS
2010
105views more  JGS 2010»
13 years 3 months ago
Testing for spatial association of qualitative data using symbolic dynamics
Qualitative spatial variables are important in many fields of research. However, unlike the decades-worth of research devoted to the spatial association of quantitative variables, ...
Manuel Ruiz, Fernando López, Antonio P&aacu...
KDD
2006
ACM
201views Data Mining» more  KDD 2006»
14 years 5 months ago
Polynomial association rules with applications to logistic regression
A new class of associations (polynomial itemsets and polynomial association rules) is presented which allows for discovering nonlinear relationships between numeric attributes wit...
Szymon Jaroszewicz
KDD
2006
ACM
130views Data Mining» more  KDD 2006»
14 years 5 months ago
Discovering significant rules
In many applications, association rules will only be interesting if they represent non-trivial correlations between all constituent items. Numerous techniques have been developed ...
Geoffrey I. Webb