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SOCNET  December 2004

SOCNET December 2004

Subject:

KDD 2005 call for papers

From:

David Duling <[log in to unmask]>

Reply-To:

David Duling <[log in to unmask]>

Date:

Mon, 13 Dec 2004 18:32:39 -0500

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (88 lines)

*****  To join INSNA, visit http://www.insna.org  *****

CALL FOR RESEARCH PAPERS

KDD-2005
THE ELEVENTH ACM SIGKDD INTERNATIONAL CONFERENCE
ON KNOWLEDGE DISCOVERY AND DATA MINING

August 21-24, 2005
Chicago, IL, USA

http://www.acm.org/sigkdd/kdd2005
http://www.kdd2005.com

____________________________________________________________
IMPORTANT DATES:

Early Registration Deadline: July 15, 2005

Submission Deadlines:

Electronic Abstract Submission: Feb. 18, 2005 *at noon CST*
Electronic Paper Submission: Feb. 28, 2005 *at noon CST*

Submission Format:
Camera-Ready (no more than 10 pages), electronic submissions *in PDF format only*

Notification of acceptance/rejection: May 20, 2005
Camera-ready papers due: June 3, 2005

____________________________________________________________

During the past years, the ACM SIGKDD conference has established itself as the premier international conference on knowledge discovery and data mining with an attendance of 600-900 people. To continue with this tradition, the eleventh ACM SIGKDD conference will provide a forum for researchers from academia, industry, and government, developers, practitioners, and the data mining user community to share their research and experience. The SIGKDD conference will feature keynote presentations, oral paper presentations, poster presentations, workshops, tutorials, exhibits, and panels, as well as the KDD Cup competition. 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 (biomedical, e-commerce, defense)
- Data and result visualization
- Data mining and data warehousing
- Data mining for community generation, social network analysis, and graph-structured data
- Foundations of data mining
- KDD framework and process
- Mining data streams
- Mining high-dimensional data
- Mining text and semi-structured data
- Multi-media data mining
- Novel data mining algorithms
- Spatial and temporal data mining
- Security and privacy issues
- Interactive and online data mining
- Pre-processing and post-processing for data mining
- Robust and scalable statistical methods


Abstracts and full papers must be submitted electronically at the conference Web site (see URL above). Abstracts must be submitted on or before February 18, 2005, 12 noon CST (Central Standard Time). An abstract may not contain more than 250 words. No paper will be considered without having the abstract submitted on time. Full papers must be submitted on or before February 28, 2005, at 12 noon CST. This is a FIRM deadline. Papers must be no more than 10 pages in length, inclusive of all figures, tables, references and appendices.  Papers should be submitted in ACM proceedings format (two columns, 9pt font, approx. 1in margins). Templates are available at http://www.acm.org/sigs/pubs/proceed/template.html. Papers must be submitted in PDF format. Authors are solely responsible for ensuring that their submissions display and print properly.
All papers will be judged based on their technical merits, originality, relevance to KDD, and presentation clarity. Papers should describe original work that has not been published before, is not under review elsewhere, and may not be submitted elsewhere during KDD-2005's review period (specialized workshops with a limited audience excluded).
A separate call is being issued for industrial/government track papers; see the conference Web site at the URL above. Reviewers can assign research track submissions to the industrial/government track and vice-versa, if they feel this to be more appropriate. Calls for workshop, tutorial and panel proposals can also be found at the conference Web site.
The KDD-2005 Best Paper awards recognize the best paper in two categories: fundamental research and applications/applied research. Fundamental research papers are judged by the significance and originality of their contribution. Applications/applied research papers are judged by the practical impact and current or potential usefulness of the work. In both cases, the clarity and quality of presentation are also considered.
KDD-2005 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.

____________________________________________________________
ORGANIZING COMMITTEE:

- General Chair: Robert Grossman,  Univ. of Illinois at Chicago & Open Data Partners, USA
- Program Co-Chairs: Roberto Bayardo, IBM Almaden Research, USA; Kristin Bennett, RPI, USA
- Proceedings Chair: Jaideep Vaidya, Rutgers Univ., USA
- Local Arrangements Chair: Bamshad Mobasher, DePaul Univ., USA
- Local Arrangements Co-Chair: Shirley Connelly, Univ. of Illinois at Chicago
- Treasurer: Christopher Clifton, Purdue Univ., USA
- Tutorials Chair: Carla Brodley, Tufts Univ., USA
- Panels Chair: Usama Fayyad, Yahoo Inc., USA
- Exhibits Chair: Gabor Melli, PredictionWorks, USA
- Workshops Chair: Mohammed Zaki, RPI, USA
- Industrial Track Co-Chairs: Corinna Cortes, Google, USA
- Jaideep Srivastava, Univ. of MN, USA
- KDD Cup Co-Chair: Ying Li, Microsoft, USA
- Best Paper Awards Chair: Heikki Mannila, Helsinki Univ. of Technology, Finland
- Publicity Chair: David Duling, SAS, USA
- Webmaster: Michal Sabala, Univ. of Illinois at Chicago, USA
- Registration Chair: Ashfaq Khokar, Univ. of Illinois at Chicago, USA
- Sponsorship Chairs: Stephen G. Eick, SSS Research and UIC, USA
- SIGKDD Chair: Won Kim, Cyber Database Solutions, USA

_____________________________________________________________________
SOCNET is a service of INSNA, the professional association for social
network researchers (http://www.insna.org). To unsubscribe, send
an email message to [log in to unmask] containing the line
UNSUBSCRIBE SOCNET in the body of the message.

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