The First IEEE ICDM Workshop on Causal Discovery (CD 2013)

December 7, 2013, Dallas, Texas

Held in conjunction with the 12th IEEE International Conference on Data Mining (ICDM 2013)

8:30 – 8:45

Opening and Welcome

08:45 – 09:10

A Novel Structural AR Modeling Approach for a Continuous Time Linear Markov System (*Slides*)

Marina Demeshko, Takashi Washio, and Yoshinobu Kawahara

09:10 – 09:35

Prior Knowledge Driven Causality Analysis in Gene Regulatory Network Discovery (*Slides*)

Shun Yao, Shinjae Yoo, and Dantong Yu

09:35 – 10:00

On Estimation of Functional Causal Models: Post-Nonlinear Causal Model as an Example (*Slides*)

Kun Zhang, Zhikun Wang, and Bernhard Schölkopf

10:00 – 10:30

 

-------- Coffee Break --------

10:30 – 11:30

Keynote: Discovering Causes (*Slides*)

Clark Glymour, Alumni University Professor, Carnegie Mellon University

11:30 – 11:55

Mining Causal Association Rules (*Slides*, *Paper*)

Jiuyong Li, Thuc Duy Le, Lin Liu, Jixue Liu, Zhou Jin, and Bingyu Sun

11:55 – 12:20

Support Vector Machines for Uplift Modeling (*Slides*, *Paper*)

Łukasz Zaniewicz and Szymon Jaroszewicz