KDD-2007 CFP
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KDD-2007 CALL FOR RESEARCH PAPERS
Abstracts due: February 23, 2007
Paper submissions due: February 28, 2007 (9 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 (9 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
Electronic paper submission (9 pages): February 28, 2007
Author notification: May 15, 2007
Conference dates: August 12-15, 2007
Detailed submission instructions will be provided on the conference
submission website closer to the submission date. All submissions will
be handled electronically.
A separate call is being issued for industrial/government track papers
(see below). Calls for workshop, tutorial and panel proposals can also
be found at the conference website.
For submission details and organizers, see www.kdd2007.com.
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KDD-2007 CALL FOR INDUSTRY PAPERS
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.
Submission details will be available on the website soon. For a list of
organizers, please see the Organizers page.
Important Dates:
Abstracts due: 23 February, 2007
Paper submissions due: 28 February, 2007 (9 pages)