Dear all, Apologizing if you received multiple copies, let me distribute this CFP on behalf of the session organizer Prof. Hiroko Shoji and the program committee of KES2001. Thank you very much for your attentions and kind circulations.
Sincerely, Yukio Ohsawa - Associate Professor, Graduate School of Business Sciences, University of Tsukuba Tokyo 112-0012 Japan Fax: +81-3-3942-6829 E-mail: [EMAIL PROTECTED] --------------- Dear Colleagues, We are pleased to announce the CFP of KES2002 special session on Chance Discovery, following the successful special sessions at KES2000 and KES2001. There have been much contribution to the past chance discovery sessions at KES, as well as at other international conferences, which indicates the growing interest in the field. We are expecting even more contribution to this session, and please consider submitting papers to the session. Hiroko SHOJI, Associate Professor Dept. of Informatics Education, Faculty of Education Kawamura Gakuen Women's University ******** ******** Call for Papers ******** ******** Special Session: Chance Discovery on Human-Data Interaction Sixth International Conference on Knowledge-Based Intelligent Information Engineering Systems 16, 17, and 18 September 2002 Podere d'Ombriano, Crema, Italy Web site address: http://www.bton.ac.uk/kes/kes2002/ http://www.kes.unisa.edu.au/ <The Scope of Chance Discovery> 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. 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 predicting the future. The essential aspect of a chance (risk or opportunity) is that it can be the seed of new and significant changes in the near future. The discovery of new opportunities might be more beneficial than reliance on past frequent success-patterns, because they are not known yet by one's business rivals. The discovery of new risks might be indispensable to avoid or lessen damage, because they cannot be explained by past frequent damage-patterns. Therefore, being aware of a novel important event without ignoring it as noise in the data is essential for human future success. Besides data mining methods for finding rare but important events from time-series, it is also important to draw humans attention to such events, i.e., to make humans ready to catch chances. In this sense, human-information interactions are highly relevant to chance discovery. Furthermore, chance discovery can be seen as an extension of risk management to computer-aided problem solving where novel situations are involved. This workshop is intended to bring together researchers from artificial intelligence, human-computer interaction, social and cognitive sciences, risk management, knowledge discovery and data mining, and other related domains, for stimulating discussions on chance discovery. We especially welcome research papers on identifying and explaining - - - - new products worth to promote sales - - - - new (potential) customers to send advertising mails, for stimulating the sales - - - - new risks which should be avoided in business and human life, e.g., risks due to newly discovered side-effects of a drug - - - - new (promising) keywords in research papers indicating pioneering and meaningful directions of research - - - - new keywords on the world-wide web which show attractive future trends and also topics from information visualization are relevant to chance discovery and topics from information visualization that are relevant to chance discovery. <Instructions for Authors> * Papers must be written in English (4 pages maximum). * Include the contact author's full name, address, telephone-, fax- numbers, and E-mail address. * Include presenter address and his/her 4 line resume for introduction purposes only. * The conference proceedings will be published by IOS Press. Papers must conform to the requirements specified in the IOS Instructions for the Preparation of a Camera-Ready Manuscript. (http://www.bton.ac.uk/kes/kes2002/instruct.doc) * Please submit the paper by an e-mail, as a PS, PDF, of a Microsoft Word DOC file, to the organizer directly. Do not address to the program committee of KES 2002. If you prefer other type of manuscript, please notify us in the submission, and be sure you have some risk of being rejected for that reason. * All papers will be refereed by at least two experts in relevant fields. <Organizers of the session> Hiroko SHOJI - - -- Associate Professor, Dept. of Informatics Education Faculty of Education, Kawamura Gakuen Women's University Address: Kawamura Gakuen Women's University 1133 Sagedo, Abiko-shi, Chiba 270-1138 Japan Fax: +81-471-83-0115 E-mail: [EMAIL PROTECTED] Yutaka Matsuo - - -- Graduate School of Engineering, University of Tokyo Address: University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113-8656, Japan Fax: +81-3-5802-8213 E-mail: [EMAIL PROTECTED] <Important Dates> Receipt of papers: 1 April, 2002 (If your situation hinders you from meeting the deadline, please consult the organizer.) Notification of acceptance: 1 May, 2002 - - --- Yutaka MATSUO and Hiroko SHOJI: Organizers of the session
