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» Phenomenal Data Mining: From Data to Phenomena
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KDD
1994
ACM
97views Data Mining» more  KDD 1994»
15 years 10 months ago
From Facts to Rules to Decisions: An Overview of the FRD-1 System
Oneof the central goals of knowledgediscovery in databases is to produceknowledgeuseful for decision making. However,the form in which knowledgecan be easily discovered is often d...
Ibrahim F. Imam, Ryszard S. Michalski
ICDM
2010
IEEE
117views Data Mining» more  ICDM 2010»
15 years 4 months ago
Node Similarities from Spreading Activation
In this paper we propose two methods to derive two different kinds of node similarities in a network based on their neighborhood. The first similarity measure focuses on the overla...
Kilian Thiel, Michael R. Berthold
ICDM
2007
IEEE
153views Data Mining» more  ICDM 2007»
16 years 27 days ago
HSN-PAM: Finding Hierarchical Probabilistic Groups from Large-Scale Networks
Real-world social networks are often hierarchical, reflecting the fact that some communities are composed of a few smaller, sub-communities. This paper describes a hierarchical B...
Haizheng Zhang, Wei Li, Xuerui Wang, C. Lee Giles,...
ICDM
2005
IEEE
126views Data Mining» more  ICDM 2005»
16 years 6 days ago
Text Representation: From Vector to Tensor
In this paper, we propose a text representation model, Tensor Space Model (TSM), which models the text by multilinear algebraic high-order tensor instead of the traditional vector...
Ning Liu, Benyu Zhang, Jun Yan, Zheng Chen, Wenyin...
ICDM
2009
IEEE
113views Data Mining» more  ICDM 2009»
16 years 1 months ago
Spatiotemporal Relational Random Forests
Abstract—We introduce and validate Spatiotemporal Relational Random Forests, which are random forests created with spatiotemporal relational probability trees. We build on the do...
Timothy A. Supinie, Amy McGovern, John Williams, J...