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 papers in PDF, PS, RTF or Microsoft Word Document formats 
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 papers, accepted for presentation at the workshop will be published 
in the workshop proceedings. Extended versions of selected papers 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