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DMIN'09 Special Sess.
 WORLDCOMP'09
 

Special Sessions and Workshops

All special sessions and workshops are part of DMIN'09 and attendance is open to attendees of all conferences held at WORLDCOMP'09. For DMIN'09, the following special sessions are accepted:

1) Text and Web Mining

2) Real-World Data Mining Applications, Challenges, and Perspectives

3) Data Mining for Time Series Data - Forecasting, Classification and Clustering

 

Special Session on Text and Web Mining - Call for Papers

Organizer: Yanjun Li, Fordham University, yli@cis.fordham.edu

Text mining has been defined as 'the automated discovery of new, previously unknown information by automatically extracting information from different written resources.' Text mining operates on structured data from XML files or unstructured or semi-structured data sets (such as email, full-text documents, and HTML files). Text mining applications include information extraction, topic tracking, summarization, categorization, clustering, concept linkage, information visualization, and question answering. Web mining is the application of data mining techniques to discover patterns from the World Wide Web and includes web usage mining, web content mining, and web structure mining. Web mining applications are in high demand since they can be used to improve the effectiveness of search engines.

This special session of DMINí09 (the Fifth International Conference on Data Mining) will cover all aspects of text and web mining. Authors are invited to submit both research and application papers on these topics. The special session will be held during the DMIN conference, July 13-16, in Las Vegas, Nevada, USA. All papers should be submitted using the standard procedures for DMIN papers.
For your submission of the draft paper, please select the Track 'Special Session on Text and Web Mining' (TWM).

Any questions should be directed to the special session organizer or to one of the DMIN conference organizers.

 

Special Session on Real-World Data Mining Applications, Challenges, and Perspectives - Call for Papers

Organizer: Mahmoud Abou-Nasr, Ford Motor Company Research and Innovation Center, mabounas@ford.com

The past decade has witnessed a vast growth of the amount of data produced and the proliferation of specialized databases in a wide range of business, industrial, medical and scientific applications.  Data mining is becoming an increasingly important tool in the process of knowledge discovery and the transformation of data into valuable information. The objective of this special session is to provide a forum for the data mining researchers and industrial practitioners to discuss data mining applications, issues, and the challenges that arise when addressing real-world problems (e.g. dealing with highly skewed data sets, massive and high dimensional data sets, non-stationary data, unknown misclassification costs, lack of training data, missing and noisy data, business process issues, etc.). 

Topics of interest include, but are not limited to:

         Enterprise knowledge management/knowledge discovery

         Sales forecasting

         Automotive diagnostics

         Medical  diagnostics

         Bioinformatics

         Challenges, including

o        highly skewed data sets

o        massive and high dimensional data sets

o        non-stationary data

o        unknown misclassification costs

o        missing and noisy data

This special session of DMINí09 (the Fifth International Conference on Data Mining) will cover all aspects of data mining applications. The special session will be held during the DMIN conference, July 13-16, in Las Vegas, Nevada, USA. All papers should be submitted using the standard procedures for DMIN papers. For your submission of the draft paper, please select the Track 'Special Session on Data Mining Applications, Challenges, and Perspectives' (DMA).

Any questions should be directed to the special session organizer or to one of the DMIN conference organizers.

 

Special Session on Data Mining for Time Series Data - Forecasting, Classification and Clustering - Call for Papers

Organizer: Sven F. Crone & Nikolaos Kourentzes, Lancaster Centre for Forecasting at the Department of Management Science at Lancaster University Management School, UK, n.kourentzes@lancaster.ac.uk, s.crone@lancaster.ac.uk

This special session of DMINí09 (the Fifth International Conference on Data Mining) will cover all aspects of data mining for time series data, particularly forecasting, classification and clustering of time series. The special session will be held during the DMIN conference, July 13-16, in Las Vegas, Nevada, USA. All papers should be submitted using the standard procedures for DMIN papers. For your submission of the draft paper, please select the Track 'Special Session on Data Mining for Time Series Data' (DMTS).

Any questions should be directed to the special session organizer or to one of the DMIN conference organizers.

 

 

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Important Dates

7 February 2009
Deadline for proposals to  organize/chair sessions/workshops
25 February 2009
23 March 2009 extended!
Submission of draft papers
25 March 2009
16 April 2009
Notification of acceptance
2 May 2009
12 May 2009 extended!
Camera-Ready conference papers & registration due
13-16 July 2009
2009 International Conference on Data Mining (DMIN'09) & 21 joint conferences of WORLDCOMP'09

Contact

Robert Stahlbock
General Conference Chair

E-mail: conference-chair@dmin--2009.com


Sven F. Crone

Programme Chair

E-mail: programme-chair@dmin--2009.com

 

Gary M. Weiss

Special Session Chair

E-Mail: special-session-chair@dmin--2009.com

 

This website is hosted by the Lancaster Centre for Forecasting at the Department of Management Science at Lancaster University Management School.

 

 

 

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