Time

Program

2:00 pm - 2:10pm

Opening address

2:10 pm - 3:10pm

Session I

- Adaptive Communal Detection in Search of Adversarial Identity Crime

Clifton Phua, Vincent Lee, Kate Smith-Miles, Ross Gayler

- Domain Ontology Driven Data Mining: A Medical Case Study

Yen-Ting Kuo, Andrew Lonie, Liz Sonenberg, Kathy Paizis

- Mining for Combined Association Rules on Multiple Datasets

Yanchang Zhao, Huaifeng Zhang, Fernando Figueiredo, Longbing Cao, Chengqi Zhang

3:10 pm -  3:30 pm

Coffee Break

3:30pm -

5:00 pm

Session II

- Least Significant Bit Steganography Detection with Machine Learning Techniques

Shen Ge, Yang Gao, Ruili Wang

- A Semi-automatic System with an Iterative Learning Method for Discovering the Leading Indicators in Business Processes

Wei Peng, Tong Sun, Philip Rose, Tao Li

- Predictive Modeling for Collections of Accounts Receivable

Sai Zeng, Prem Melville, Christian A. Lang, Ioana Boier-Martin, Conrad Murphy

- Toward Knowledge-Driven Data Mining

Warwick Graco, Tatiana Semenova, Eugene Dubossarsky

- Blog Search and Mining in the Business Domain

Yun Chen, Flora S.Tsai, Kap Luk Chan

  Regular paper: 15 minutes' presentation + 5 minutes' Q&A

  Short paper: 12 minutes' presentation + 5 minutes' Q&A