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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, ...
SDM
2011
SIAM
230views Data Mining» more  SDM 2011»
12 years 10 months ago
Multidimensional Association Rules in Boolean Tensors
Popular data mining methods support knowledge discovery from patterns that hold in binary relations. We study the generalization of association rule mining within arbitrary n-ary ...
Kim-Ngan Nguyen, Loïc Cerf, Marc Plantevit, J...
ICDE
2006
IEEE
130views Database» more  ICDE 2006»
14 years 8 months ago
MIC Framework: An Information-Theoretic Approach to Quantitative Association Rule Mining
We propose a framework, called MIC, which adopts an information-theoretic approach to address the problem of quantitative association rule mining. In our MIC framework, we first d...
Yiping Ke, James Cheng, Wilfred Ng
EMS
2008
IEEE
14 years 1 months ago
A Weighted Utility Framework for Mining Association Rules
Association rule mining (ARM) identifies frequent itemsets from databases and generates association rules by assuming that all items have the same significance and frequency of oc...
M. Sulaiman Khan, Maybin K. Muyeba, Frans Coenen
ICDM
2008
IEEE
156views Data Mining» more  ICDM 2008»
14 years 1 months ago
Mining Allocating Patterns in One-Sum Weighted Items
An Association Rule (AR) is a common knowledge model in data mining that describes an implicative cooccurring relationship between two disjoint sets of binary-valued transaction d...
Yanbo J. Wang, Xinwei Zheng, Frans Coenen, Cindy Y...