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» Enhanced mining of association rules from data cubes
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PKDD
2004
Springer
141views Data Mining» more  PKDD 2004»
15 years 7 months ago
Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach
In this paper we propose a novel spatial associative classifier method based on a multi-relational approach that takes spatial relations into account. Classification is driven by s...
Michelangelo Ceci, Annalisa Appice, Donato Malerba
112
Voted
VLDB
1998
ACM
147views Database» more  VLDB 1998»
15 years 6 months ago
Scalable Techniques for Mining Causal Structures
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
Craig Silverstein, Sergey Brin, Rajeev Motwani, Je...
199
Voted
ICDE
2008
IEEE
195views Database» more  ICDE 2008»
16 years 3 months ago
Scalable Rule-Based Gene Expression Data Classification
Abstract-- Current state-of-the-art association rule-based classifiers for gene expression data operate in two phases: (i) Association rule mining from training data followed by (i...
Mark A. Iwen, Willis Lang, Jignesh M. Patel
ESWA
2007
178views more  ESWA 2007»
15 years 1 months ago
Educational data mining: A survey from 1995 to 2005
ct 7 Currently there is an increasing interest in data mining and educational systems, making educational data mining as a new growing 8 research community. This paper surveys the ...
Cristóbal Romero, Sebastián Ventura
122
Voted
IDEAL
2004
Springer
15 years 7 months ago
Mobile Data Mining by Location Dependencies
Mobile mining is about finding useful knowledge from the raw data produced by mobile users. The mobile environment consists of a set of static device and mobile device. Previous wo...
Jen Ye Goh, David Taniar