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Call for Papers and Workshop Proposals 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2010) July 25-28, 2010 Washington, DC http://www.kdd.org/kdd2010/ Key Dates Abstracts due: Feb. 2, 2010 Papers due: Feb. 5, 2010 Acceptance notification: Apr. 30, 2010 Workshop proposals due: Feb. 1, 2010 Workshop notification: Mar. 1, 2010 ============================================================================= [RESEARCH TRACK] We invite high-quality papers reporting original research on all aspects of knowledge discovery and data mining. We especially encourage submissions that promote the advancement of KDD as a scientific and engineering discipline and submissions that bridge between different disciplines. Papers are rigorously evaluated based on potential impact, novelty, repeatability and presentation. Areas of interest include, but are not limited to: - data mining algorithms (supervised, semi-supervised and unsupervised) - data mining foundations and theory - dimensionality reduction and feature selection - mining dynamic and evolving data - mining graph data - mining semi-structured data - mining spatial and temporal data - mining stream data - mixed-initiative data mining and active learning - outlier analysis and anomaly detection - parallel and distributed data mining algorithms - pattern mining and association analysis - robust and highly scalable data mining algorithms - similarity search in data mining - statistical methods in data mining - topic models and matrix methods in data mining - transfer learning and mining with auxiliary data sources - adversarial data mining algorithms - biological and medical data mining - data mining for computational advertising - data mining in social sciences and on social networks - mining environmental and scientific data - mining sensor data - mining user behavioral and feedback data - mining the Web and text data - multimedia data mining - data mining for other novel applications - data integration and indexing for data mining - data visualization for data mining - KDD methodology and process - platforms and systems for KDD - pre-processing and post-processing in data mining - security and privacy issues in data mining - user modeling in data mining All submitted papers will be judged based on their technical merit, rigor, significance, originality, repeatability, relevance, and clarity. Papers submitted to KDD 2010 should be original work, not previously published in a peer-reviewed conference or journal. Substantially similar versions of the paper submitted to KDD 2010 should not be under review in another peer-reviewed conference or journal during the KDD 2010 reviewing period. Repeatability guideline: Repeatability is a cornerstone of any scientific and engineering endeavor. To promote a solid foundation upon which future KDD work can be built, authors should make every effort to make code available as open source, and to employ public datasets, or make novel datasets available to the community. If this is not possible, please include a justification to that effect. Comparison to credible baseline systems and statistical significance of experimental results are expected for all papers with empirical evaluations. [INDUSTRY & GOVERNMENT TRACK] 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. [WORKSHOPS – CALL FOR PROPOSALS] The ACM KDD-2010 organizing committee invites proposals for workshops to be held in conjunction with the conference. The purpose of a workshop is to provide participants with the opportunity to present and discuss novel research ideas on active and emerging topics of knowledge discovery and data mining. A workshop should also support the interaction and feedback among topic specialists from academia, industry and government. A WORKSHOP MAY BE ORGANIZED AROUND INDUSTRIAL APPLICATIONS IN A PARTICULAR DOMAIN AND THE CHALLENGES THIS DOMAIN POSES (SUCH AS THE NETFLIX WORKSHOP FOR RECOMMENDATION SYSTEMS) Workshops that include a challenge problem, such as the one on time series classification that took place in 2007, are encouraged. A session with papers that address a challenge complements the more diverse sessions with regular papers and improves the potential for discussion. Because such challenges require extra time to plan, we may be willing to provide early notice of acceptance. The organizers of approved workshops are required to announce the workshop and call for papers, gather submissions, conduct the reviewing process and decide upon the final workshop program. They must also prepare an informal set of workshop proceedings to be distributed with the registration materials at the conference. They may choose to form organizing or program committees for assistance in these tasks. The logistics of the workshops will be done with the help from the ACM KDD-2010 organizers. PROPOSAL DETAILS: Proposals should be no more than five pages in length and must include the following: * Description of the workshop abstract, objectives, goals, relevance, and expected outcome * Description of workshop topic and the associated research issues * Motivations why an ACM SIGKDD workshop on this topic should take place * Description of the anticipated target group(s) of attendees * Past workshops and other related recent workshops * Duration of the workshop (full day or half day) * Contact information (address, email, and phone) for all organizers * A designated contact person The organizers are encouraged to provide the following additional information: * Description of a potential challenge problem * A preliminary list of reviewers * One or more potential invited speakers * A list of potential authors * A list of potential attendees Proposers are encouraged to have their drafts reviewed by potential workshop participants before submission. _______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
