CALL FOR PAPERS

5th International Workshop on Chance Discovery (IWCD5)
in ICDM2010

14 December 2010 (changed!!)
Sydney, Australia


selected paper and program (with abstracts and photos)
Workshop Themes: [Chance Discovery: Curation of Chance]


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 workshop will discuss several problems in Chance Discovery. As shown, 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. A chance might be computationally or manually discovered. Thus, advanced computational techniques such as abduction and induction (including data mining) could be applied to Chance Discovery. In addition, personalised and very traditional (sometimes, manual) data mining method could also be effective in Chance Discovery. We have discussed limitations of conventional data mining methods. And many new computational methods, and concepts and mechanisms of human discovery have been proposed. In the contexts, we have discussed how to discover and suggest events causing significant but hidden events. Our common understandings are that we deal with events in the real world, therefore, we need to have knowledge about movement in a society, behaviour of people, as well as computational methods. In addition, it is important to discuss effective chance evaluation, selection, and suggestion methods. It would be a gate for fantastic and innovative applications. Thus, we would like to discuss from logical, computational, cognitive, sociological, economical and psychological viewpoints. In addition, we would like to discuss ``curation'' of chance. Traditionally, curation is not only concerned with long-term care of books, paintings or other artefacts. It is also about maintaining their integrity and enabling and promoting their availability to appropriate audiences (http://www.jisc.ac.uk/e-sciencecurationreport.pdf). As shown above, for chance discovery, we have focused on strategies to discover rare or novel events and those to present hints of chance to users. By curation, we add a more active action to chance discovery, which curators usually struggle to explicitly or implicitly express extended or hidden meanings (values) to potential audiences.

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

Important date:

Submission:

Paper submissions should be limited to a maximum of 10 pages in the IEEE 2-column format. Papers that do not comply with the Submission Guidelines will be rejected without review.
Papers can be submitted via the following page. http://wi-lab.com/cyberchair/icdm10/scripts/ws_submit.php Please select ``Workshop #12: Chance Discovery'' In addition, please send your paper to both Akinori Abe (ave@ultimaVI.arc.net.my) and Yukio Ohsawa(y.ohsawa@gmail.com).

Review:

All submissions will be reviewed on the basis of relevance, originality, significance, soundness and clarity. At least three referees will review each submission independently.

Publication:

Accepted papers will be published in the conference workshop proceedings by the IEEE Computer Society Press and accorded oral presentation times in the main conference.

Chairs:

Akinori Abe
NTT Communication Science Laboratories
2-4, Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0237 JAPAN
E-mail: ave@ultimaVI.arc.net.my
Yukio Ohsawa
The Univeristy of Tokyo
7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656 JAPAN
E-mail: y.ohsawa@gmail.com

Program Committee (will be added more):

Previous Chance Discovery Workshops