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ICDM
2005
IEEE
116views Data Mining» more  ICDM 2005»
14 years 2 months ago
Learning Functional Dependency Networks Based on Genetic Programming
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong
SSD
1995
Springer
146views Database» more  SSD 1995»
14 years 3 days ago
Discovery of Spatial Association Rules in Geographic Information Databases
Spatial data mining, i.e., discovery of interesting, implicit knowledge in spatial databases, is an important task for understanding and use of spatial data- and knowledge-bases. I...
Krzysztof Koperski, Jiawei Han
ESANN
2000
13 years 10 months ago
Distributed clustering and local regression for knowledge discovery in multiple spatial databases
Many large -scale spatial data analysis problems involve an investigation of relationships in heterogeneous databases. In such situations, instead of making predictions uniformly a...
Aleksandar Lazarevic, Dragoljub Pokrajac, Zoran Ob...
UAI
2008
13 years 10 months ago
CT-NOR: Representing and Reasoning About Events in Continuous Time
We present a generative model for representing and reasoning about the relationships among events in continuous time. We apply the model to the domain of networked and distributed...
Aleksandr Simma, Moisés Goldszmidt, John Ma...
JKM
2007
126views more  JKM 2007»
13 years 8 months ago
The moderating role of human capital management practices on employee capabilities
Purpose – The purpose of this paper is to suggest and empirically test a model that explains employee capabilities from the knowledge-based perspective. In this model, human cap...
Nick Bontis, Alexander Serenko