[dbjapan] KDD-2009: CALL FOR Industrial/Government Applications Papers

[Satoshi Oyama <oyama [at] i.kyoto-u.ac.jp>]

[Apologies if you receive this more than once]

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KDD-2009: The Fifteenth ACM SIGKDD International Conference
on Knowledge Discovery and Data Mining (KDD'09)

Paris, France
June 28 - July 1, 2009.

http://www.kdd.org/kdd2009/

CALL FOR Industrial/Government Applications Papers

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The Industrial/Government Applications Track of the 15th ACM SIGKDD 
International Conference on Knowledge Discovery and Data Mining 
(KDD-2009) will highlight challenges, lessons, research issues 
AND PRACTICAL PROBLEMS arising out of deploying applications of KDD technology. 
The focus is on promoting the exchange of ideas between researchers and 
practitioners of data mining.


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Important dates:
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***Note the earlier submission deadlines***
Abstract submission: February 2, 2009
Paper submission: February 6, 2009
Notification: April 10, 2009
Conference dates: June 28 - July 1, 2009


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The KDD-2009 Industrial/Government Applications (I/G) Track seeks to:

    * provide a forum for exchanging ideas between KDD practitioners, 
      researchers, companies, and government organizations;
    * help commercial and government organizations highlight successful 
      KDD applications;
    * raise interesting industrial challenges and other concerns more 
      specific to industry and government AND EXCHANGE IDEAS ABOUT HOW
      RECENT RESEARCH DEVELOPMENTS COULD HELP AND BRING SOLUTIONS 
      TYPICAL ISSUES INCLUDE BUT ARE NOT LIMITED TO -- customer privacy issues, 
      analysis of data not generally available in academia, issues of 
      scale that arise more heavily in a corporate setting, etc. 

The I/G Applications Track solicits papers describing implementations 
of KDD solutions relevant to commercial or government settings. The 
primary emphasis is on papers that advance our understanding of 
practical, applied, or pragmatic issues and highlight new research 
challenges in real KDD applications. Applications can be in any field 
including, but not limited to: e-commerce, medical and pharmaceutical, 
defense, public policy, engineering, manufacturing, telecommunications, 
BANKING, INSURANCE, FINANCE and government. 
Being held in Europe for the first time, we enthusiastically seek 
contributions from European authors and on European projects.

The I/G Applications Track will consist of competitively-selected 
contributed papers - presented in oral and/or poster form - as well as 
invited talks. We envision submissions along four sub-areas:

    * Emerging applications and technology
    * Deployed KDD case studies
    * Comparative studies of KDD technology
    * Pragmatic issues and research considerations in fielding real applications. 

Emerging application and technology papers discuss prototype applications, 
tools for focused domains or tasks, useful techniques or methods, useful 
system architectures, scalability enablers, tool evaluations, or 
integration of KDD and other technologies. Case studies describe deployed 
projects with measurable benefits that include KDD technology. Such papers 
need to demonstrate the importance and general impact of the work clearly. 
Comparative studies compare and contrast KDD technologies using specific 
examples (without being a product advertisement). Pragmatic issues and 
considerations include important practical and research considerations, 
approaches, and architectures that enable successful applications.

Submitters are encouraged (but not required) to select one (or more) of 
these sub-areas for their papers. In their submission, authors are required 
to explain why the application is important, the specific need for KDD 
technology to solve the problem (including why other methods perhaps not 
based on data mining may fall short), and any innovations or lessons 
learned in the solution.

KDD 2009 will also feature keynote presentations, a research track, 
workshops, tutorials, and the KDD Cup competition.

I/G Applications Track Co-Chairs:

    * Kamal Ali, ISLE/Stanford,
    * Ricardo Baeza-Yates, Yahoo! Research