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