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AISB event Bulletin Item

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

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