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» Mining Hesitation Information by Vague Association Rules
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ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
14 years 1 months ago
A Framework for Regional Association Rule Mining in Spatial Datasets
The immense explosion of geographically referenced data calls for efficient discovery of spatial knowledge. One critical requirement for spatial data mining is the capability to ...
Wei Ding 0003, Christoph F. Eick, Jing Wang 0007, ...
KES
2004
Springer
14 years 22 days ago
Mining Positive and Negative Fuzzy Association Rules
While traditional algorithms concern positive associations between binary or quantitative attributes of databases, this paper focuses on mining both positive and negative fuzzy ass...
Peng Yan, Guoqing Chen, Chris Cornelis, Martine De...
ICEIS
2009
IEEE
14 years 2 months ago
NARFO Algorithm: Mining Non-redundant and Generalized Association Rules Based on Fuzzy Ontologies
Traditional approaches for mining generalized association rules are based only on database contents, and focus on exact matches among items. However, in many applications, the use ...
Rafael Garcia Miani, Cristiane A. Yaguinuma, Maril...
DASFAA
2005
IEEE
154views Database» more  DASFAA 2005»
14 years 1 months ago
Mining Positive and Negative Association Rules from XML Query Patterns for Caching
Recently, several approaches that mine frequent XML query patterns and cache their results have been proposed to improve query response time. However, frequent XML query patterns m...
Ling Chen 0002, Sourav S. Bhowmick, Liang-Tien Chi...
ADC
2003
Springer
118views Database» more  ADC 2003»
14 years 18 days 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