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Call for Papers
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 it?s 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
WORKSHOP STEERING COMMITTEE
Mihael Ankerst, Boeing, Seattle, WA 98124-2207,
USA, mihael.ankerst@boeing.com
Simeon
J. Simoff, Faculty of Information Technology University of Technology, Sydney,
Australia, simeon@it.uts.edu.au
Chabane Djeraba,
IRIN, Nantes University, 2, Rue de la Houssiniere, 44322 Nantes Cedex, France,
djeraba@irin.univ-nantes.fr
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@utdallas.edu
Rod Tjoelker,
Boeing, Seattle, WA 98124-2207, USA, rod.tjoelker@boeing.com Marko
GrobelnikJ. Stefan InstituteJamova 39, 1000 LjubljanaSlovenijaMarko.Grobelnik@ijs.si
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 d?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
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