-------- Original-Nachricht -------- Betreff: [computational.science] KDD-2008 Call for Research Track Papers Datum: Wed, 31 Oct 2007 21:04:40 -0700 Von: Jian Pei jpei@cs.sfu.ca Antwort an: Dr.Jian.Pei@gmail.com Organisation: "OptimaNumerics" An: Computational Science Mailing List computational.science@lists.optimanumerics.com Referenzen: 5856a6a30710172124g57993e05w322ee1173484b07a@mail.gmail.com 03a001c81c38$f838d6c0$e8aa8440$@uic.edu
Dear editor,
Could you please broadcast the following call for papers message to your email list?
Thanks,
Jian
*************************************************************** Call for Research Track Papers
The Fourteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-08)
August 24 - 27, 2008 Las Vegas, USA http://www.kdd.org/kdd2008/
###### Please Take Note of the REPEATABILITY Guideline ######
The annual ACM SIGKDD conference is the premier international forum for data mining researchers and practitioners from academia, industry, and government to share their ideas, research results and experiences. KDD-08 will feature keynote presentations, oral paper presentations, poster sessions, workshops, tutorials, panels, exhibits, demonstrations, and the KDD Cup competition.
We invite research submissions on all aspects of knowledge discovery and data mining overlapping with topics from machine learning, statistics, databases, and pattern recognition. Papers are expected to describe innovative ideas and solutions that are scientifically evaluated and well-presented. Submissions that describe minor variations of existing methods or only make small or questionable improvements to existing algorithms are discouraged.
Areas of interest include, but are not limited to:
* Data mining algorithms * Data mining foundations * High performance and parallel/distributed data mining * Innovative data mining applications in bio-medicine, business, engineering, science, defense, manufacturing, and others. * Data mining systems * KDD framework and process * Mining stream data and sensor data * Mining multi-media data * Mining social networks and graph data * Mining spatial and temporal data * Mining text, Web and semi-structured data * Pre-processing and post-processing in data mining * Robust and scalable statistical methods * Security, privacy, and adversarial data mining * Visual data mining and data visualization
Important Dates: * Electronic abstract submission: February 23, 2008 * Electronic paper submission (10 pages): February 29, 2008 * Author notification: May 25, 2008 * Conference dates: August 24-27, 2008
All submitted papers will be judged based on their technical merit, originality, rigor, significance, relevance, and clarity. Papers submitted to KDD-08 should be original work, not previously published in a peer-reviewed conference or journal. Papers substantially similar to papers submitted to KDD-08 should not be under review in another peer-reviewed conference or journal during the KDD-08 reviewing period.
As the SIGKDD conference enters its fourteenth year of existence, we need to take steps to ensure the long term viability of the research output of this community. A basic requirement is to enable the careful scrutiny and repeatability of evaluation results reported in a paper. Experimental results in submitted papers should be accompanied with all relevant implementation details and exact parameter specifications. Reviewers will be encouraged to downgrade ratings of papers that do not meet this guideline. Datasets used in the experiments should be made publicly available, whenever possible. When you must use proprietary datasets, please make every effort to supplement your results with those from closely matching synthetic datasets or other public datasets.
Detailed submission instructions will be provided on the conference submission website. All submissions will be handled electronically.
KDD-08 organizers:
General Chair Ying Li (Microsoft Corporation)
Program Co-Chairs Bing Liu (University of Illinois at Chicago) Sunita Sarawagi (IIT Bombay)
Industrial & Government Track Co-Chairs Volker Tresp (Siemens AG) Chris Volinsky (AT&T Labs - Research)
Panel Chair Alexander Tuzhilin (New York University)
Tutorial Chair Philip S. Yu (IBM T.J. Watson Research Center)
Workshop Chair Eamonn Keogh (University of California, Riverside)
Best Paper Award Chair Christos Faloutsos (Carnegie Mellon University)
Local Arrangements Co-Chairs Jeff Jonas (IBM Corporation) Teresa Mah (Microsoft Corporation)
Sponsorship Chair Karl Rexer (Rexer Analytics)
Exhibits & Demos Chair Moninder Singh (IBM Corporation)
Posters Chair Matthew Richardson (Microsoft Research)
Proceedings Chair Misha Bilenko (Microsoft Research)
Publicity Chair Jian Pei (Simon Frasier University)
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