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AUSDM
2007
Springer
164views Data Mining» more  AUSDM 2007»
14 years 4 months ago
SemGrAM - Integrating Semantic Graphs into Association Rule Mining
To date, most association rule mining algorithms have assumed that the domains of items are either discrete or, in a limited number of cases, hierarchical, categorical or linear. ...
John F. Roddick, Peter Fule
TKDE
2008
139views more  TKDE 2008»
13 years 10 months ago
Mining Weighted Association Rules without Preassigned Weights
Association rule mining is a key issue in data mining. However, the classical models ignore the difference between the transactions, and the weighted association rule mining does n...
Ke Sun, Fengshan Bai
APVIS
2006
13 years 11 months ago
Knowledge visualization in hepatitis study
Evidence-based medicine (EBM) is a shift in which medicine from being based on individual experience of doctors to evidence with clear background. In this shift, data mining can p...
DucDung Nguyen, Tu Bao Ho, Saori Kawasaki
AI
1998
Springer
14 years 2 months ago
ELEM2: A Learning System for More Accurate Classifications
We present ELEM2, a new method for inducing classification rules from a set of examples. The method employs several new strategies in the induction and classification processes to ...
Aijun An, Nick Cercone
KDD
1999
ACM
184views Data Mining» more  KDD 1999»
14 years 2 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