KDD 2007 Workshop on

Mining Multiple Information Sources

In conjunction with
The 13th International Conference on Knowledge Discovery and Data Mining
(KDD 2007)

August 12-15, 2007, San Jose, CA USA


[Call For Papers]  [Accepted Papers] [Workshop Program]  [Program Committee]

Full Papers (10 pages)    

Ye Tian, Gary Weiss, D. Frank Hsu, and Qiang Ma

Department of Computer and Information Science, Fordham University, USA

  • Finding New Customers Using Unstructured and Structured Data

Prem Melville, Yan Liu, Richard Lawrence, Ildar Khabibrakhmanov, Cezar Pendus,

and Timothy Bowden

IBM T.J. Watson Research Center, USA

  • Incorporating Background Knowledge from the World Wide Web for Rule Evaluation using the Minimum Discriminative Information Principle

Samah Jamal Fodeh and Pang-Ning Tan

Department of Computer Science, Michigan State University, USA

  • Mining Vector-Item Patterns for Annotating Protein Domains Paper

Jianfei Wu and Anne M. Denton

Department of Computer Science, North Dakota State University, USA

Short Papers (6 pages)    Top

  • An Ensembled based Bayesian Network Learning Algorithm on Limited Data

Feng Liu1, Fengzhan Tian2, and Qiliang Zhu1

1 Beijing University of Posts and Telecommunications, China

2 Beijing Jiaotong University, China

  • Combining Mining Results from Multiple Sources in Clinical Trials and Microarray Applications

Fatih Altiparmak1, Ozgur Ozturk1, Selnur Erdal2, Hakan Ferhatosmanoglu1, and Donald C. Trost3

1 Department of Computer Science and Engineering, the Ohio State University, USA

2 The Ohio State University Medical Center

3 Pfizer Inc., Global Research and Development, USA

  • Integrating Projects from Multiple Open Source Code Forges

Megan Conklin

Elon University, USA