Abstracts due: February 23, 2007
Paper submissions due: February 28, 2007 (10 pages)

The ACM SIGKDD conference has established itself as the premier international conference on knowledge discovery and data mining. To continue with this tradition, the thirteenth ACM SIGKDD conference (KDD-07) will provide a forum for researchers and practitioners from academia, industry, and government to share their research and experience. The SIGKDD conference will feature keynote presentations, oral paper presentations, poster sessions, workshops, tutorials, and panels, as well as the KDD Cup competition. This year all accepted papers will give both oral and poster presentations, and will be the same length in the proceedings (10 pages in ACM 2-column format). KDD-07 will also award scholarships to selected students to help defray the cost of participating in the conference. Details will appear on the conference Web site as they become available.

Papers on all aspects of knowledge discovery and data mining are solicited. Areas of interest include, but are not limited to:

• Applications of data mining (biomedicine, business, e-commerce, defense)
• Data mining for community generation, social network analysis, and graph-structured data
• Foundations of data mining
• High performance and parallel/distributed data mining
• Integration of data warehousing and data mining
• Interactive and online data mining
• KDD framework and process
• Mining data streams
• Mining high-dimensional data
• Mining sensor data
• Mining text and semi-structured data
• Mining multi-media data
• Novel data mining algorithms
• Robust and scalable statistical methods
• Pre-processing and post-processing for data mining
• Security, privacy and social impact of data mining
• Spatial and temporal data mining
• Visual data mining and data visualization

Important Dates:

Electronic abstract submission: February 23, 2007, 11:59 pm PST
Electronic paper submission (10 pages): February 28, 2007, 11:59 pm PST
Author notification: May 15, 2007
Conference dates: August 12-15, 2007

Research Track papers should be submitted through this link using standard templates that can be found here. Camera-ready copies will also use the same templates.

A separate call is being issued for industrial/government track papers (see below). Calls for workshop, tutorial and panel proposals can also be found on this website.

The Industrial/Government Applications Track of the Thirteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2007) will highlight challenges, lessons, concerns, and research issues arising out of deploying applications of KDD technology. The focus would be on promoting the exchange of ideas between researchers and practitioners of data mining.

The KDD-2007 Industrial/Government Applications (I/G) Track seeks to:

• provide a forum for exchanging ideas between KDD practitioners, researchers, companies, and government organizations; and
• help commercial 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 attempts to deploy KDD solutions relevant to commercial or government challenges. The primary emphasis is on papers that advance our understanding of practical, applied, or pragmatic issues and perhaps highlight new research challenges in real KDD applications. 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. 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;
• Product and experience descriptions; and
• Pragmatic issues and research 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 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.

Industry Track papers should be submitted through this link using standard templates that can be found here. Camera-ready copies will also use the same templates. For a list of organizers, please see the Organizers page.

Important Dates:

Abstracts due: 23 February, 2007, 11:59 pm PST
Paper submissions due: 28 February, 2007, 11:59 pm PST (10 pages)