The Industrial/Government Applications Track of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-10) will highlight successful uses of KDD technology, including deployed applications incorporating KDD technologies and discoveries of valid, novel, understandable, and demonstrably useful patterns from large datasets in industry and government. It will also include papers that address challenges, lessons, concerns, and research issues arising out of attempts, both successful and unsuccessful, to deploy KDD technology for the solution of actual industry and government problems.

The KDD-10 Industrial/Government Applications (I/G) Track seeks to:

• provide a forum for exchanging ideas between KDD practitioners, researchers, companies, and government organizations;
• help industrial and government organizations highlight successful KDD applications;
• raise interesting (research) challenges and other concerns more specific to industry and government -- 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 industrial or government settings. The primary emphasis is on papers that advance the understanding of practical, applied, or pragmatic issues related to the use of KDD technologies in industry and government and highlight new research challenges arising from attempts to create such 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, and government.

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 in three sub-areas. Submitters should identify in which of these sub-areas their paper should be evaluated.

• Deployed KDD case studies
• Discoveries of knowledge with demonstrable value to industry or government
• Emerging applications and technology, including challenges and issues arising from attempts to deploy KDD technology to solve specific industry or government problems

Deployed KDD case studies describe deployed projects with measurable benefits that include KDD technology.  These papers must clearly describe the industry or Government problem that is solved, the overall architecture of the deployed system, the data sources used, the reasons for the choices of particular KDD technologies, how KDD technologies solved the problem, the particular KDD process embodied by the deployed application, the use and payoff of the application, the costs to develop the application, the maintenance plan, and the number and types of users.

Papers that describe discoveries of knowledge must clearly state what data sources and background knowledge were used, what data mining algorithms were tried, what overall KDD process was used, what the new discovered knowledge is, how the new knowledge was validated, and what the value to the industry or government is of such newly discovered knowledge.

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 with other technologies. Such papers must clearly explain the requirements arising from the particular industry or government setting for which the application is being developed and from the particular databases on which the application is based. These papers must also identify how the emerging solution is using KDD technologies to address these requirements, the deployment plan, and the evaluation methodology and metrics for the emerging application. Pragmatic issues and considerations include important practical and research considerations, approaches, and architectures that enable successful applications. This category may include comparative evaluations of different KDD technologies for particular application problems. Preferences will be given to papers whose insights may generalize to other domains or problems. Product advertisements will not be accepted.

A new feature of the I/G track this year is the inclusion of a video forum, in which the accepted authors can optionally include a video demonstration of their system. These videos will be posted online for effective dissemination of the result. Authors of the I/G track can optionally submit their videos at the time of paper submission as well. Accepted papers can revise and improve their submitted videos later.

1. To submit your paper to either the Research track or the Industrial track, please log into the Submission Server.
2. Abstracts are due Feb 2, 2010 at 11:59 PM Pacific time.
3. Papers are due Feb 5, 2010 at 11:59 PM Pacific time.
4. All papers should adhere to the ACM proceedings template. Papers are allowed at most nine (9) full pages, including all figures, tables, references and appendix (if any).
5. The papers will *not* be reviewed double-blind. Please include your name and affiliation in the submission, as well as full references to your relevant prior work.
6. Submissions that deviate from these guidelines may be rejected without consideration. Out of fairness to other authors, we are not able to grant extensions or accept late submissions.

• abstract due on: Feb 2, 2010 11:59 PM Pacific Time
• paper due on: Feb 5, 2010 11:59 PM Pacific Time
• acceptance notification: April 30, 2010

Please submit all papers to the Submission Server. For further information please contact the Industrial Track Chairs.