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ICDM
2005
IEEE
177views Data Mining» more  ICDM 2005»
16 years 1 months ago
Pruning Social Networks Using Structural Properties and Descriptive Attributes
Scale is often an issue with understanding and making sense of large social networks. Here we investigate methods for pruning social networks by determining the most relevant rela...
Lisa Singh, Lise Getoor, Louis Licamele
PAKDD
2005
ACM
103views Data Mining» more  PAKDD 2005»
16 years 1 months ago
Subgroup Discovery Techniques and Applications
This paper presents the advances in subgroup discovery and the ways to use subgroup discovery to generate actionable knowledge for decision support. Actionable knowledge is explici...
Nada Lavrac
PAKDD
2004
ACM
108views Data Mining» more  PAKDD 2004»
16 years 26 days ago
A Metric Approach to Building Decision Trees Based on Goodman-Kruskal Association Index
We introduce a numerical measure on sets of partitions of finite sets that is linked to the Goodman-Kruskal association index commonly used in statistics. This measure allows us t...
Dan A. Simovici, Szymon Jaroszewicz
ICDM
2003
IEEE
107views Data Mining» more  ICDM 2003»
16 years 24 days ago
Objective and Subjective Algorithms for Grouping Association Rules
We propose two algorithms for grouping and summarizing association rules. The first algorithm recursively groups rules according to the structure of the rules and generates a tre...
Aijun An, Shakil M. Khan, Xiangji Huang
ICDM
2003
IEEE
126views Data Mining» more  ICDM 2003»
16 years 24 days ago
Interpretations of Association Rules by Granular Computing
This paper presents interpretations for association rules. It first introduces Pawlak’s method, and the corresponding algorithm of finding decision rules (a kind of association ...
Yuefeng Li, Ning Zhong