[Apologies if you receive this more than once] ================================================================= 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 ================================================================== 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. ================= Important dates: ================= ***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 ====================================================================== 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