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CIKM
1997
Springer
13 years 12 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu
NAR
2011
209views Computer Vision» more  NAR 2011»
12 years 10 months ago
CancerResource: a comprehensive database of cancer-relevant proteins and compound interactions supported by experimental knowled
During the development of methods for cancer diagnosis and treatment, a vast amount of information is generated. Novel cancer target proteins have been identified and many compoun...
Jessica Ahmed, Thomas Meinel, Mathias Dunkel, Manu...
TSDM
2000
189views Data Mining» more  TSDM 2000»
13 years 11 months ago
Join Indices as a Tool for Spatial Data Mining
The growing production of maps is generating huge volume of data stored in large spatial databases. This huge volume of data exceeds the human analysis capabilities. Spatial data m...
Karine Zeitouni, Laurent Yeh, Marie-Aude Aufaure
PAKDD
2000
ACM
140views Data Mining» more  PAKDD 2000»
13 years 11 months ago
Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases
The objective of data reduction is to obtain a compact representation of a large data set to facilitate repeated use of non-redundant information with complex and slow learning alg...
Slobodan Vucetic, Zoran Obradovic
ICDM
2007
IEEE
166views Data Mining» more  ICDM 2007»
14 years 2 months ago
Mining Statistical Information of Frequent Fault-Tolerant Patterns in Transactional Databases
Constraints applied on classic frequent patterns are too strict and may cause interesting patterns to be missed. Hence, researchers have proposed to mine a more relaxed version of...
Ardian Kristanto Poernomo, Vivekanand Gopalkrishna...