DM: KDD2000 Workshop on Multimedia Data Mining (MDM/KDD2000)

Apologies if you receive this more than once.
-------------------------------------------------------------
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)

Workshop Web site: 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;
- mining and analysis of data generated by virtual reality systems;
- data mining of virtual worlds;
- 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.

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

• Prev by Date: RE: DM: Data Mining's (Machine) Psychological Problem
• Next by Date: DM: PhD studentship: Kernel Methods for Bioinformatics
• Prev by thread: DM: PhD studentship: Kernel Methods for Bioinformatics
• Next by thread: Re: DM: Data Mining's Definition!
• Index(es):
  • Date
  • Thread