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» Interestingness measures for data mining: A survey
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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...
BIOSTEC
2008
162views Healthcare» more  BIOSTEC 2008»
13 years 9 months ago
On Extraction of Nutritional Patterns (NPS) Using Fuzzy Association Rule Mining
This paper proposes a framework for mining market basket data to generate Nutritional Patterns (NPs) and a method for analysing generated nutritional patterns using F...
M. Sulaiman Khan, Maybin K. Muyeba, Frans Coenen
KDD
2006
ACM
183views Data Mining» more  KDD 2006»
14 years 8 months ago
Discovering interesting patterns through user's interactive feedback
In this paper, we study the problem of discovering interesting patterns through user's interactive feedback. We assume a set of candidate patterns (i.e., frequent patterns) h...
Dong Xin, Xuehua Shen, Qiaozhu Mei, Jiawei Han
KDD
2001
ACM
150views Data Mining» more  KDD 2001»
14 years 8 months ago
Empirical bayes screening for multi-item associations
This paper considers the framework of the so-called "market basket problem", in which a database of transactions is mined for the occurrence of unusually frequent item s...
William DuMouchel, Daryl Pregibon
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, ...