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KDD
1994
ACM
123views Data Mining» more  KDD 1994»
15 years 1 months ago
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
We describe scoring metrics for learning Bayesian networks from a combination of user knowledge and statistical data. We identify two important properties of metrics, which we cal...
David Heckerman, Dan Geiger, David Maxwell Chicker...
67
Voted
KDD
2005
ACM
89views Data Mining» more  KDD 2005»
15 years 10 months ago
Mining risk patterns in medical data
In this paper, we discuss a problem of finding risk patterns in medical data. We define risk patterns by a statistical metric, relative risk, which has been widely used in epidemi...
Jiuyong Li, Ada Wai-Chee Fu, Hongxing He, Jie Chen...
72
Voted
KDD
2003
ACM
113views Data Mining» more  KDD 2003»
15 years 10 months ago
Mining unexpected rules by pushing user dynamics
Unexpected rules are interesting because they are either previously unknown or deviate from what prior user knowledge would suggest. In this paper, we study three important issues...
Ke Wang, Yuelong Jiang, Laks V. S. Lakshmanan
BNCOD
2003
127views Database» more  BNCOD 2003»
14 years 11 months ago
Performance Evaluation and Analysis of K-Way Join Variants for Association Rule Mining
Data mining aims at discovering important and previously unknown patterns from the dataset in the underlying database. Database mining performs mining directly on data stored in r...
P. Mishra, Sharma Chakravarthy
97
Voted
CCECE
2006
IEEE
15 years 3 months ago
A QoS Mapping Rule Builder
Although many QoS management architectures have been recently introduced with a lot of advanced features, they have never been widely used in the existing applications due to the ...
Kim Khoa Nguyen, Brigitte Kerhervé, Brigitt...