CFP - MDM/KDD 2003

Call for Papers

MDM/KDD2003 : The Fourth International Workshop on Multimedia Data Mining
(http://www-staff.it.uts.edu.au/~simeon/mdm_kdd2003/ 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. PetrushinAccenture Technology Labs161 N. Clark St.Chicago, IL 60089, 
USApetr-xbJSVET4Hb4U6Jzq686YXFmuhGz1hbfE@xxxxxxxxxxxxxxxx        
Anne KaoThe Boeing CompanyP.O. Box 3707 MC 7L-43Seattle, WA 98124-2207, 
USAanne.kao-X8CqP27nNzzQT0dZR+AlfA@xxxxxxxxxxxxxxxx

WORKSHOP STEERING COMMITTEE

Mihael Ankerst, Boeing, Seattle, WA 98124-2207, USA, 
mihael.ankerst-X8CqP27nNzzQT0dZR+AlfA@xxxxxxxxxxxxxxxx     
Simeon J. Simoff, Faculty of Information Technology University of Technology, 
Sydney, Australia, simeon-IuPLbuXCSHZWG/WdbR7gnQ@xxxxxxxxxxxxxxxx
Chabane Djeraba, IRIN, Nantes University, 2, Rue de la Houssiniere, 44322 
Nantes Cedex, France, djeraba-B5i9jFBDuVFL9gsp55mzlVaPQRlvutdw@xxxxxxxxxxxxxxxx 
      
Latifur Khan, Department of Computer Science, Erik Jonsson School of Eng. And 
Comp. Sci.Box 830688, EC 31University of Texas at Dallas, Richardson, TX 75083, 
USA, lkhan-DNmUmOh1Rg72fBVCVOL8/A@xxxxxxxxxxxxxxxx
Rod Tjoelker, Boeing, Seattle, WA 98124-2207, USA, 
rod.tjoelker-X8CqP27nNzzQT0dZR+AlfA@xxxxxxxxxxxxxxxx Marko GrobelnikJ. Stefan 
InstituteJamova 39, 1000 LjubljanaSlovenijaMarko.Grobelnik@xxxxxx

PROGRAM COMMITTEE (some members to be confirmed).

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
Gholamreza Nakhaeizadeh         DaimlerChrysler, Germany
Mario Nascimento                University of Alberta, Canada
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://www-staff.it.uts.edu.au/~simeon/mdm_kdd2003/)

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