CFP: The 2nd KDD workshop on on Mining Multiple Information Sources (MMIS-08)

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The 2nd ACM KDD Workshop on Mining Multiple Information Sources (MMIS-08)
In conjunction with ACM SIGKDD-08, August 24, 2008  

Deadline of Paper Submission: May 30, 2008
Acceptance Notification: June 15, 2008
Camera-ready Paper Submission: June 20, 2008           

The aim of this workshop is to bring together data mining experts to revisit 
the problem of pattern discovery from multiple information sources, and 
identify and synthesize current needs for such purposes. Representative 
questions to be addressed include but are not limited to:  
1. Harnessing Complex Data Relationship
   a. Database similarity assessment
   b. Automatic schema mapping and relationship discovery
   c. New mapping framework for multiple information sources 
   d. Data source classification and clustering
   e. Data cleansing, data preparation, conflict and inconsistency resolution
2. Integrative and Cooperative Mining
   a. Model integration for heterogeneous information sources
   b. Mode transferring across different data domains
   c. Incremental and scalable data mining algorithms
   d. Multi-tasks multi-sources co-learning for multiple information sources
3. Differentiation and Correlation
   a. Local pattern analysis and fusion
   b. Global pattern synthesizing and assessment
   c. Merging local rules for global pattern discovery
   d. Pattern summarization from multiple datasets
   e. Multi-dimensional pattern search and comparison 
   f. Pattern comparison across multiple data sources
   g. Inter pattern discovery from complex data sources
4.	Stream data mining algorithms
   a. Clustering and classification of data of changing distributions
   b. Data stream processing, storage, and retrieval systems
   c. Sensor networking
5.	Security and privacy issues in multiple information sources

6.	Interactive data mining systems
   a. Query languages for mining multiple information sources
   b. Query optimization for distributed data mining
   c.Distributed data mining operators in supporting interactive data mining

For submission of the paper, please use Easychair system at

Organizing Committee

Workshop Co-chairs
Xingquan Zhu, Florida Atlantic University 
Ruoming Jin, Kent State University 
Yuri Breitbart, Kent State University 

Program Committee
Walid G. Aref, Purdue University, USA 
Philip Chan, Florida Institute of Technology, USA 
Dejing Dou, University of Oregon, USA 
Christopher Jermaine, University of Florida, USA 
Taghi M. Khoshgoftaar, Florida Atlantic University, USA 
Tao Li, Florida International University, USA 
Huan Liu, Arizona State University, USA 
Prem Melville, IBM T.J. Watson, USA 
Xintao Wu, UNC Charlotte, USA 
Jieping Ye, Arizona State University, USA 
Shichao Zhang, University of Technology, Sydney 
Aoying Zhou, Fudan University, China 
Zhi-hua Zhou, Nanjing University, China 

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Received on Wednesday, 7 May 2008 04:12:37 UTC