KES2004 invited session on Chance Discovery

23 & 24 September 2004
Hotel Inter-Continental
Cnr Grey & Featherston Streets
P O Box 175, Wellington

Paper lists to be presented (with Plenary Lecture)

Session Themes: [Chance Discovery: How to discover and evaluate chance?]
Session Subtitle: "Find 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.
We have been making successes in business and research using the methods developed in chance discovery, since 2000. (See

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.
Thus, we would like to discuss from computational, cognitive, sociological, economical and psychological viewpoints. Of course, other viewpoints are welcome!

Topics to be discussed (will not be restricted to):


Page formatting: For formatting information, please see Springer Information for LNCS Authors (See ``Proceedings and Other Multiauthor Volumes - Using Microsoft Word" etc.).
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:

Important Dates:


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 KES2004 Proceedings (Springer-Verlag).


Akinori Abe
ATR Intelligent Robotics & Communication Labs.
2-2-2, Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288 JAPAN

Yukio Ohsawa
University of Tsukuba and The Univeristy of Tokyo
3-29-1 Otsuka, Bunkyo-ku, Tokyo 112-0012 Japan