******** ******** Call for Papers ******** ******** Special Session: Chance Discovery on Human-Data Interaction Fifth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies 6, 7, 8 September 2001 Osaka-Kyoiku University, Osaka, Japan Web site address: http://www.bton.ac.uk/kes/kes2001/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 is 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 visualizations are relevant to chance discovery. * 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 IEEE. * Please submit the paper by an e-mail, as a PS, PDF, of a DOC file, to the organizer directly. Do not address to the program committee of KES 2001 please. If you prefer other type of manuscript, please notify with the submission and be sure you have some risk of being rejected for the reason. Please use two column format in Times New Roman, or a similar font style, 10 points. * All papers will be refereed by at least two experts in relevant fields. Dr. Yukio OHSAWA - Associate Professor, Graduate School of Systems Management, University of Tsukuba - Researcher of TOREST, Japan Science and Technology Corporation Address: GSSM, University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku Tokyo 112-0012 Japan Fax: +81-3-3942-6829 E-mail: osawa@gssm.otsuka.tsukuba.ac.jp Receipt of papers: 15 May, 2001 (if you are in a situation disturbing your submission meeting the date, please notify the organizer above what date you can submit) Notification of acceptance: 28 May, 2001 * After acceptance, there is no time for paper revision to make the camera ready version. In the first submission, please be as careful as in the final submission.