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Subject: CFP - ACM MDM/KDD 2003 Date: Tue, 22 Apr 2003 09:42:04 +0200 From: "Chabane Djeraba" chabane.djeraba@polytech.univ-nantes.fr To: uai@ghost.cs.orst.edu Cc: petr@techlabs.accenture.com, anne.kao@boeing.com, simeon@it.uts.edu.au, djeraba@irin.univ-nantes.fr, lkhan@utdallas.edu, mihael.ankerst@boeing.com, rod.tjoelker@boeing.com, Marko.Grobelnik@ijs.si
Our apologizes for multiple reception. The web site of the workshop has been updated.
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CALL FOR PAPERS
MDM/KDD2003 : The Fourth International Workshop on Multimedia Data Mining (http://research.it.uts.edu.au/emarkets/mdmkdd2003/ currently updating)
in conjunction with
KDD-2003: 9th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining August 24 - 27, 2003, Washington, DC, USA (http://www.acm.org/sigkdd/kdd2003/) (August 24th, 2003)
MDM/KDD2003 WORKSHOP THEME : Integrated Media Mining
THE WORKSHOP
The workshop will address issues specifically related to mining information from multi-modality, multi-source, multi-format data in an integrated way. Many analysis domains collect data from several sources, including static databases, streaming data, web pages, or conditionally collected data. Data appear in multiple forms, including structured, numeric, free text, video, image, speech, or combinations of several types. Analysis in these domains requires combining of techniques and integrating methods. Examples include using Text Mining to generate structured features that can be further used by Data Mining in conjunction with existing structured data, or combining information mined from a photo image with text data, meta-data, and web links to other pages. On the other hand, researchers in multimedia information systems, in the search for techniques for improving the indexing and retrieval of multimedia information are looking into new methods for discovering indexing information. Variety of techniques from machine learning, statistics, databases, knowledge acquisition, data visualization, image analysis, high performance computing, and knowledge-based systems, have been used mainly as a research handcraft activity. The development of multimedia databases and their query interfaces recall again the idea of incorporating multimedia data mining methods for dynamic indexing. The emerging international standard for multimedia content description (MPEG-7) promises to foster the collaboration in the field giving a uniform data representation. The aim of the workshop is to contribute in finding suitable answers to the following questions: - What are the theoretical foundations of multimedia data mining? - What are the problems and applications where multimedia data mining can have severe impact? - What are the advanced architectures of multimedia data mining systems? - What are the specific issues raised in integrated patterns extraction from multimedia data and its components, including images, sound, video, and other non-structured data? - What are suitable multimedia representations and formats that can help data mining in multimedia data?
The major topics of the workshop include but are not limited to: - Integrated mining of different data formats (text, speech, video, structured, image, relational data) - Combining mining results from different sources - Integrated mining methods for eBusiness - Combined mining methods for engineering and manufacturing - Integrated mining for Homeland Security - Mining of data streams combined with structure data - Visual data mining of multi-format/ Multimedia data - Multi-relational Data Mining. The focus is on mining data residing in relational databases. - Visual data mining of multi-format/multimedia data. - Theoretical frameworks for multimedia data mining. - Multimedia data mining methods and algorithms. - Multimedia data sampling and preprocessing. - Data visualization and sonification. - Representation and reuse of discovered knowledge. - Multimedia data descriptions languages and formats. - Evaluation of interestingness, novelty and validity of results. - Topic and event detection in multimedia data (including video). - Extracting semantics from multimedia databases. - Mining scientific multimedia data. - Integrated data mining in multimedia information systems. - Knowledge discovery in facial data. - Man-machine interfaces for multimedia data mining. - Complexity, efficiency and scalability of multimedia data mining algorithms. - Data mining virtual communities and virtual worlds. - Data mining in collaborative virtual environments and virtual reality systems. - Visual and audio support for multimedia mining. - Visual data mining of multimedia data. - Multi-agent environments for concurrent mining of heterogeneous data. - Real-time multimedia data mining systems. - Using MPEG-4 and MPEG-7 standards for multimedia data mining.
We encourage submissions of greenhouse work, which present early stages of a cutting-edge research and development. Software demonstrations are welcome.
WORKSHOP CO-CHAIRS
Valery A. Petrushin, Accenture Technology Labs161 N. Clark St.Chicago, IL 60089, USA, petr@techlabs.accenture.com
Anne Kao, The Boeing Company, P.O. Box 3707 MC 7L-43Seattle, WA 98124-2207, USA, anne.kao@boeing.com
WORKSHOP STEERING COMMITTEE
Mihael Ankerst, Boeing, Seattle, USA, mihael.ankerst@boeing.com
Simeon J. Simoff, University of Technology, Sydney, Australia, simeon@it.uts.edu.au
Chabane Djeraba, Nantes University, France, djeraba@irin.univ-nantes.fr
Latifur Khan, University of Texas at Dallas, USA, lkhan@utdallas.edu
Rod Tjoelker Boeing, Seattle, USA, rod.tjoelker@boeing.com
Marko Grobelnik J. Stefan Institute, Slovenija, Marko.Grobelnik@ijs.si
PROGRAM COMMITTEE
Dulce Ponceleon IBM Almaden, USA
Wensheng Zhou Hughes Research Lab, USA
Jim Maar Magnify Research, USA
John Risch Battelle, USA
Les Davis ARDA, USA
Dunja Mladenic J. Stefan Institute, Slovenia
Marko Grobelnik J. Stefan Institute, Slovenia
Zhaohui Tang Microsoft, USA
Sundar Venkataraman Rockwell Scientific Corporation, USA
Daniel Barbara George Mason University, USA
Terry Caelli, University of Alberta, Canada
Claude Chrisment University of Toulouse, France
K. Slecuk Candan Arizona State University, USA
Chitra Dorai IBM Thomas J. Watson Research Center, USA
Alex Duffy University of Strathclyde, UK
Max J. Egenhofer University of Maine, USA
Jiawei Han University of Illinois, USA
Howard J. Hamilton University of Regina, Canada
Alexander G. Hauptmann Carnegie Mellon University, USA
Oktay Ibrahimov Institute of Cybernetics, Azerbaijan
Wynne Hsu National University of Singapore, Singapore
Erik Granum Aalborg University, Denmark
William Grosky University of Michigan,USA
Odej Kao Technical University of Clausthal, Germany
Nik Kasabov University of Ottago, New Zealand
Flip Korn AT&T Laboratories, USA
Brian Lovell University of Queensland, Australia
Mike Maybury MITRE Corporation
Dennis McLeod University of Southern California, USA
Monique Noirhomme-Fraiture Institut Informatique, FUNDP, Belgium
Vincent Oria New Jersey Institute of technology, USA
Jian Pei Simon Fraser University, Canada
Cyrus Shahabi University of Southern California, USA
Simone Santini University of California, San Diego, USA
John R. Smith IBM T. J. Watson Research Center, USA
Paul Kennedy University of Technology-Sydney, Australia
Duminda Wijesekera George Mason University, USA
Aidong Zhang State University of New York at Buffalo, USA
SUBMISSION
There is no restriction on the length of submissions. Contact author and email address should be specified. Electronic submission of papers in PDF, PS, RTF or Microsoft Word Document formats are preferable. The electronic submission will be organized via e-mail or a conference management system.
DISSEMINATION
Peer-reviewed papers, accepted for presentation at the workshop will be published in the workshop proceedings. Depending on the quality of the papers and presentations, an edited collection of longer contributions, is planned to be published either as a special issue of related journal or as an edited book.
DEADLINES
Submissions Due: May 31 Acceptance: June 20 Camera ready copy: July 11
REGISTRATION
Registration for the workshop is free for the registrants of KDD-2003. Workshop attendance is limited to 60 participants only during one day. Updated information on the workshop will be available at : http://research.it.uts.edu.au/emarkets/mdmkdd2003/
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