The Industrial/Government Applications Track of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2006) will highlight successful applications of KDD technology; explore issues, methods, and lessons learned in the development and deployment of KDD applications; and promote the exchange of ideas between the foundations and applications of data mining.
The KDD-2006 Industrial/Government Applications (I/G) Track seeks to:
(1) provide a forum for exchanging ideas between KDD practitioners, researchers, companies, and government organizations; and (2) help commercial and government organizations understand successful KDD applications.
The I/G Applications Track solicits papers from practitioners and companies that have KDD products and solutions relevant to commercial or government challenges.
The primary emphasis is on papers that contribute to the advancement of understanding of practical, applied, or pragmatic issues in real applications of KDD. Applications can be in any field including scientific, engineering, commercial, governmental, social, or political.
The I/G Applications Track will consist of competitively-selected contributed papers - presented in oral and poster form - as well as invited talks and panel discussions. The full conference will also feature keynote presentations, workshops, tutorials, research track papers, and the KDD Cup competition.
We envision submissions along four sub-areas:
Emerging applications, technology, and issues;
Deployed KDD case studies; and
Product and experience descriptions; and
Pragmatic issues and considerations in fielding real applications.
Emerging application, technology, and issue 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 impact of the work clearly. Product submissions clearly describe KDD technology embedded in commercial products (without otherwise being a product advertisement). Pragmatic issues and considerations include important practical considerations, approaches, and architectures that enable successful applications, as well as relevant project "war stories." 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 may fall short), and any innovations or lessons learned in the solution. Many papers also benefit by discussing alternate approaches that do not involve data mining and why they were not (as) successful. We understand that reasons of confidentiality have often discouraged practitioners from submitting papers. When possible, we encourage authors to abstract any such specifics into a more general problem that may be presented, while explaining how the abstracted challenge is important for KDD.
Electronic Abstract Submission: March 3, 2006 Electronic Paper Submission: March 10, 2006 Notification of acceptance/rejection: May 23, 2006
Camera-ready papers due: June 12, 2006
Conference Presentations: August 20-23, 2006
Abstracts and full papers must be submitted electronically at the URL https://msrcmt.research.microsoft.com/KDD2006Ind/. Abstracts must be submitted on or before March 3, 2006. An abstract may not contain more than 250 words. No paper will be considered without having the abstract submitted on time. Full papers must be submitted on or before March 10, 2006. This is a FIRM deadline. Papers must be no more than 10 pages in length, inclusive of all figures, tables, references and appendices.
Papers should be submitted in ACM proceedings format (two columns, 9pt font, approx. 1in margins). Templates are available at http://www.acm.org/sigs/pubs/proceed/template.html. Papers must be submitted in PDF format. Authors are solely responsible for ensuring that their submissions display and print properly.
All papers will be judged based on their technical merits, originality, relevance to KDD, and presentation clarity. Papers submitted to KDD-06 should be original work, not previously published in a peer-reviewed conference or journal. Papers substantially similar to papers submitted to KDD-06 should not be under review for another peer-reviewed conference or journal during the KDD-06 reviewing period (specialized workshops with a limited audience excluded).
We will make an exception for the specific case of ECML/PKDD-06, however. Since the submission date for these conferences is shortly before the decision date for KDD-06, papers submitted to KDD-06 may also be submitted to ECML/PKDD-06 with the provision that papers or posters accepted to KDD-06 will be withdrawn from ECML/PKDD-06.
I/G Applications Track Program Co-Chairs:
Usama Fayyad, Yahoo! Inc., USA
Robert Grossman, Open Data Partners and University of Illinois at Chicago