WORKSHOP CHAIRS
Chabane Djeraba,
IRIN, Polytech’Nantes, France
Osmar R. Zaïane
University of Alberta, Canada
PROGRAM COMMITTEE
Frederic Andres
NII, Japan
Bruno Bachimont
INA, France
Nadia Bianchi-Berthouze
University of Aizu, Japan
Nozha Boujemaa
INRIA, France
Liming Chen
ICTT-ECL, France
Claude Chrisment
University of Toulouse, France
William Grosky
Michigan Dearborn University,
USA
Mohand-Said Hacid
LISI, France
Alexander G. Hauptmann
Carnegie Mellon University,
USA
Nabil Layaida
INRIA Rhône Alpe, Grenoble
Mario Nascimento
University of Alberta, Canada
Jian Pei
Simon Fraser University, Canada
Jean-Marie Pinon
LISI-INSA, France
Zbigniew Rass
UNC Charlotte, USA
Florence Sedes
University of Toulouse, France
Simeon J. Simoff
University of Technology Sydney, Australia
Dong Thi Bich Thuy
C.I. Vietnam
IMPORTANT DATES
Paper submission: February 15,
2002
(extended to February 22)
2002 Notification: March 1, 2002
2002Camera-ready: March 15, 2002
Multimedia Data Mining, also known as Knowledge Discovery from Multimedia, is not Information Retrieval from multimedia, contrary to popular belief, but the extraction of interesting patterns and new facts from multimedia objects. Knowledge discovery in multimedia databases is focused on the synergy between two fields: Knowledge Discovery and Multimedia Databases. Knowledge discovery and data mining, which consist in extracting valuable and relevant knowledge from large volumes of data, have received much attention these last years. The approaches used for knowledge discovery are non-trivial and often domain specific, depending on the canonical mining primitives. The data patterns discovered are typically used in decision-making whether in business, in scientific research or other. While significant research has been done on knowledge discovery from large corpora, most of the approaches are related to numerical transactional data such as market-basket analysis, web activities, etc., thus very little has been achieved on mining multimedia data probably due to the complexity of multimedia and multimedia repositories.
The aim of this workshop is to bring together experts in digital media content analysis, state-of-art data mining and knowledge discovery in multimedia database systems, knowledge engineers and domain experts from diverse applied disciplines with potential in multimedia data mining.
TOPICS OF INTEREST
The major topics of the workshop
include but are not limited to:
- Multimedia specific data mining
methods and algorithms,
- Complexity, efficiency and scalability
of multimedia data mining algorithms,
- Multimedia data mining and interactive
exploration,
- Data and Knowledge visualization,
- Mining and analysis of data generated
by virtual reality systems,
- Integrated data mining of text
and image data,
- Discovery in musical data,
- Methods for the evaluation of
mining results,
- Knowledge Discovery in other
complex data (Spatial, VRML, XML, etc.),
- Data description languages, meta
data, data formats,
- Representation of discovered
knowledge for data mining in multimedia,
- Multimedia data representation
and reuse of discovered knowledge,
- Techniques for web multimedia
preparation, including cleaning,
- Transforming, sampling,
- Multimedia mining methodologies
for different web data types,
- Web-content mining,
- Internet portal and multimedia
mining,
- Multimedia applications of knowledge
discovery,
- Intelligent electronic documents,
- Content-based discovery methods.
We also encourage submissions,
which present early stages of research work, software applications and
solutions.
INSTRUCTIONS FOR AUTHORS
Authors are invited to submit papers
(not exceeding 8 pages) by February 15, 2002. Selection will be
based on originality and contribution to the field. Manuscripts must be
in English, typed in single spaced format in no smaller than 10 point font.
Each paper should have an extra cover page with name, title, and address
(including e-mail address) of the contact author and an abstract of no
more than 200 words. Papers in postscript or PDF or RTF format should be
sent to: kdmcd-chairs@cs.ualberta.ca with subject "KDMCD2002".
All papers will be reviewed by
at least three referees for technical merit and content. Papers accepted
for presentation will appear in the workshop proceedings, which will be
available to delegates at the conference site. The best papers may be selected,
and their authors asked to prepare an extended version for book chapters
edited by an international editor.