CALL FOR PAPERS
KES2005 invited session on Chance Discovery
14, 15 & 16 September 2005
Hilton on the Park, Melbourne, Australia
192 Wellington Parade,
East Melbourne 3002, Australia
Session Themes: [Chance Discovery: How to discover and evaluate chance?
Also, how to show the chance? ]
Session Subtitle: "Find and give new meanings in existing results"
Chance Discovery is the discovery of chance, rather than discovery
by chance. A ``chance" here means a new event/situation that can be
conceived either as an opportunity or as a risk in the future.
The ``discovery" of
chances is of crucial importance since it may have a significant
impact on human decision making. Desirable effects of opportunities
should be actively promoted, whereas preventive measures should be
taken in the case of discovered risks. In other words, chance
discovery aims to provide means for inventing or surviving the
future, rather than simply predicting the future.
This session will discuss several problems in Chance Discovery. As
shown above, Chance Discovery is a research to study how to discover
rare or novel events causing potentially significant situation. Although
the event itself could not be significant.
Indeed, some data mining techniques can be applied to Chance
Discovery. However, they are not sufficient. Since, usually,
conventional data mining shows average events. Our main target is to
study how to discover rare or novel events. They are not average
matters but exceptions.
This session intends to discuss how to discover and suggest events
causing significant but hidden events.
In fact, we will deal with events in the real world, therefore, we
need to have knowledge about movement in society, behaviour of people,
as well as computational methods.
In addition, we would like to discuss an evaluation and selection of
chance. In fact, chance will be suggested to the users, but the next
problem is how to evaluate and select proper chance. Furthermore,
more important thing is how to effectively show chance to the users.
we would like to discuss from computational, cognitive, sociological,
economical and psychological viewpoints. Of course, other viewpoints
Topics to be discussed (will not be restricted to):
- Analysis of human behaviour.
- Analysis of complex systems (society, community etc.).
- Applications of Chance Discovery.
- Characterization of ``Chance.''
- Logical foundations for Chance Discovery.
- Theories and methodologies to discover rare or novel events.
- Theories and methodologies to foretell next trends.
- Theories and methodologies to make aware of significant events.
- Theories and methodologies for an evaluation and selection of chance.
- Models and methodologies for effective suggestion of chance.
For formatting information, please see
Springer Information for LNCS Authors
(See ``Proceedings and Other Multiauthor Volumes - Using Microsoft
Please note that papers should be no longer than seven pages in LNCS
format. Papers longer than this will be subject to an additional page
charge. All oral and poster papers must be presented by one of the
authors who must register and pay fees.
Submissions are invited on previously unpublished research.
The papers can be submitted to:
- Hiroko Shoji
- Faculty of Science and Engineering, Chuo University (firstname.lastname@example.org)
- 15 April, 2005: Submission deadline of papers
- 22 April, 2005: Notification of acceptance of papers.
- 29 April, 2005: Deadline for camera-ready papers
- by 1 June 2005: All presenting authors in the Invited Session must
register with payment for their papers to appear in the proceedings.
- 14,15 or 16 September, 2005: Session
All submissions will be reviewed on the basis of relevance, originality,
significance, soundness and clarity. At least three referees will review
each submission independently.
All accepted papers will be published in the KES2005 Proceedings (LNCS/LNAI,
Faculty of Science and Engineering, Chuo University
1-13-27 Kasuga, Bunkyo-ku, Tokyo 112-8551 JAPAN
University of Tsukuba and The Univeristy of Tokyo
3-29-1 Otsuka, Bunkyo-ku, Tokyo 112-0012 Japan
7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656 JAPAN
ATR Intelligent Robotics & Communication Labs.
2-2-2, Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288 JAPAN
Previous invited sessions in KES: