Paper lists to be presented
New!!

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.
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):

• 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.

Submission:

The papers can be submitted to:

• Hiroko Shoji
  Faculty of Science and Engineering, Chuo University (hiroko@indsys.chuo-u.ac.jp)

Important Dates:

• 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

Review:

Publication:

Chairs:

Hiroko Shoji