KDMCD'2002
International Workshop on Knowledge Discovery in Multimedia and
Complex Data (KDMCD'02), Taipei, Taiwan, May 6, 2002
http://db.cs.ualberta.ca/kdmcd02/
In conjunction with the Sixth Pacific-Asia Conference on Knowledge
Discovery and Data
Mining (PAKDD-02), Taipei, Taiwan, May 6-8 2002
http://arbor.ee.ntu.edu.tw/pakdd02/
OBJECTIVES
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.
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
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 Sydney, Australia
Dong Thi Bich Thuy
C.I. Vietnam
IMPORTANT DATES
Paper submission: February 15, 2002
Notification: March 1, 2002
Camera-ready: March 15, 2002
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