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KDD
2009
ACM
230views Data Mining» more  KDD 2009»
13 years 10 months ago
Grouped graphical Granger modeling methods for temporal causal modeling
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Ros...
KDD
1995
ACM
182views Data Mining» more  KDD 1995»
13 years 8 months ago
Accelerated Quantification of Bayesian Networks with Incomplete Data
Probabilistic expert systemsbased on Bayesian networks(BNs)require initial specification both a qualitative graphical structure and quantitative assessmentof conditional probabili...
Bo Thiesson
ICDM
2009
IEEE
152views Data Mining» more  ICDM 2009»
13 years 3 months ago
A Sparsification Approach for Temporal Graphical Model Decomposition
Temporal causal modeling can be used to recover the causal structure among a group of relevant time series variables. Several methods have been developed to explicitly construct te...
Ning Ruan, Ruoming Jin, Victor E. Lee, Kun Huang
KDD
1997
ACM
221views Data Mining» more  KDD 1997»
13 years 9 months ago
MineSet: An Integrated System for Data Mining
MineSetTM , Silicon Graphics’ interactive system for data mining, integrates three powerful technologies: database access, analytical data mining, and data visualization. It sup...
Clifford Brunk, James Kelly, Ron Kohavi
SIGMOD
2007
ACM
160views Database» more  SIGMOD 2007»
14 years 5 months ago
AutoDomainMine: a graphical data mining system for process optimization
Aparna S. Varde, Elke A. Rundensteiner, Richard D....