DM: CFP: Workshop on Multimedia Data Mining

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C a l l     f o r     P a p e r s

Workshop on Multimedia Data Mining (MDM/KDD2000)

in conjunction with

Sixth ACM SIGKDD International Conference on
Knowledge Discovery & Data Mining
August 20-23, 2000, Boston, MA, USA (KDD2000)


For web version of this call see http://www.cs.ualberta.ca/~zaiane/mdm_kdd2000/


INTRODUCTION

The increasing application of collaborative computing and multimedia document
handling in the majority of government, business and educational intra- and
internets provides enormous sources of various data, organized in different
structures and formats. No wonder researchers in multimedia turned towards the
field of data mining and knowledge discovery in databases in the search for
techniques for improving the indexing and retrieval of multimedia information.
In the beginning, a variety of techniques from machine discovery, statistics,
databases, knowledge acquisition, machine learning, 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
data mining methods for dynamic indexing. Recently data mining efforts have
focused in less formalized fields of art, design, hypermedia information 
systems,
case-based reasoning and computational modeling of creativity. These and 
similar
fields use variety of data sources, incorporated through sophisticated digital
media data structures. As a result there is an urgent need for new 
techniques and
tools that can transform these rich data into useful information and knowledge.

The aim of this workshop is to bring together experts in analysis of digital
media content, state-of-art data mining and knowledge discovery in multimedia
database systems, knowledge engineers and domain experts from different 
applied
disciplines with potential in multimedia data mining.

TOPICS OF INTEREST

The major topics of the workshop include but are not limited to:
- multimedia data mining methods and algorithms;
- electronic documents - multimedia data representation and reuse of
   discovered knowledge;
- content-based search, retrieval, and discovery methods;
- uncertainty management in multimedia data mining;
- complexity, efficiency and scalability of multimedia data mining algorithms;
- the incorporation of domain knowledge;
- multimedia data mining and interactive exploration;
- multimedia data visualization and man-machine interfaces;
- integrated data mining of text and image data;
- data analysis of video and audio data;
- representation of discovered knowledge
- active storage for data mining in multimedia;
- mining from unstructured and semi-structured data;
- web-content mining;
- data mining from XML documents;
- mining from GIS.

SUBMISSIONS

There is no restriction on the length of submissions.
Contact author and email address should be specified.
Electronic submission of either paper-oriented PDF, PS, RTF or
Microsoft Word Document, or Web-based multimedia format
are preferable. Please, e-mail electronic submissions to
simeon@arch.usyd.edu.au or zaiane@cs.ualberta.ca
with subject "MDM/KDD2000".

If not submitting an electronic version, please send a hard copy original to:

Simeon J. Simoff
Key Centre of Design Computing and Cognition (G04)
University of Sydney, NSW 2006
Australia

or

Osmar R. Zaiane
Department of Computing Science
University of Alberta
Edmonton, AB
T6G 2H1, Canada

DISSEMINATION

Peer-reviewed submissions, accepted for presentation at the workshop
will be published  in the workshop proceedings. Extended and revised
paper-oriented versions of selected submissions will be  published in
a book by Kluwer Academic Publishers, the same publisher of the Data
Mining and Knowledge Discovery.

IMPORTANT DATES

- May 15   : Submissions Due
- June 15  : Acceptance Notification
- July 15  : Camera Ready Copy Due
- August 20: Workshop Day

CO-CHAIRS

- Simeon J. Simoff University of Sydney, Australia (simeon@arch.usyd.edu.au)
- Osmar R. Zaiane  University of Alberta, Canada   (zaiane@cs.ualberta.ca)


PROGRAM COMMITTEE

- Max Bramer          University of Portsmouth, UK
- Alex Duffy 	      University of Strathclyde, UK
- Max J. Egenhofer    University of Maine, USA
- Tom Gedeon	      Murdoch University, Australia
- Jiawei Han 	      Simon Fraser University, Canada
- Howard J. Hamilton  University of Regina, Canada
- William Grosky      Wayne State University, USA
- Odej Kao 	      Technical University of Clausthal, Germany
- Nik Kasabov	      University of Ottago, New Zealand
- Raymond Ng	      University of British Columbia, Canada
- Timothy K. Shih     Tamkang University, Taiwan
- Jaideep Srivastava  University of Minnesota, USA


           &
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Osmar R. ZAIANE, Ph.D.           | office: GSB 645
Assistant Professor              | e-mail:  zaiane@cs.ualberta.ca
Department of Computing Science  | phone : 1-780 492 7569
University of Alberta            | fax   : 1-780 492 1071
Edmonton, Alberta, T6G 2H1 Canada| http://www.cs.ualberta.ca/~zaiane/
_oooO___________Oooo_______________________________________________________
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