23 & 24 September 2004
Cnr Grey & Featherston Streets
P O Box 175, Wellington
Paper lists to be presented (with Plenary Lecture)
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 http://www.chancediscovery.com/concrete_examples/concrete_examples.htm)
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):
The papers can be submitted to:
University of Tsukuba and The Univeristy of Tokyo
3-29-1 Otsuka, Bunkyo-ku, Tokyo 112-0012 Japan