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ADC
2003
Springer
118views Database» more  ADC 2003»
14 years 4 months ago
CrystalBall : A Framework for Mining Variants of Association Rules
The mining of informative rules calls for methods that include different attributes (e.g., weights, quantities, multipleconcepts) suitable for the context of the problem to be an...
Kok-Leong Ong, Wee Keong Ng, Ee-Peng Lim
AIME
2009
Springer
14 years 5 months ago
Mining Healthcare Data with Temporal Association Rules: Improvements and Assessment for a Practical Use
Abstract. The Regional Healthcare Agency (ASL) of Pavia has been maintaining a central data repository which stores healthcare data about the population of Pavia area. The analysis...
Stefano Concaro, Lucia Sacchi, Carlo Cerra, Pietro...
DATAMINE
2002
155views more  DATAMINE 2002»
13 years 10 months ago
Efficient Adaptive-Support Association Rule Mining for Recommender Systems
Collaborative recommender systems allow personalization for e-commerce by exploiting similarities and dissimilarities among customers' preferences. We investigate the use of a...
Weiyang Lin, Sergio A. Alvarez, Carolina Ruiz
IEAAIE
2009
Springer
14 years 5 months ago
Incremental Mining of Ontological Association Rules in Evolving Environments
The process of knowledge discovery from databases is a knowledge intensive, highly user-oriented practice, thus has recently heralded the development of ontology-incorporated data ...
Ming-Cheng Tseng, Wen-Yang Lin
JCST
2008
119views more  JCST 2008»
13 years 11 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