Dear Colleagues,
Thanks to your attentions and great contributions to the sessions,
chance discovery came to be established as relevant topics listed
in conference CFPs - KES2001, SCI2001, Discovery Science 2001,
JSAI2001 and to be also organized as real-profit (for researchers
on chance discovery) workshops sponsored by Hakuhodo Inc.
As we proposed one year ago, "the awareness and explanation (rather
than the prediction) of rare events significant for human decision-
making" is clearly coming to be recognized as an essential problem
for academic and business interests, and people are beginning to say
"subjective human perceptions on the significance of (especially
rare) events are as meaningful as objective analysis of data" and
the (maybe more than) fifty papers in chance discovery sessions have
been leading this direction during the year.
Thanks to the hot attentions from various areas as
- - artificial intelligence
- - social psychology
- - statistics
- - risk managements
- - knowledge management
- - marketing strategies, etc
and economic supports of
- - Japanese Science and Technology Corporation (JST),
- - Hakuhodo Inc.,
I can happily send the final and revised CFP of KES2001 special
session on Chance Discovery. The deadline is extended since the
last CFP I sent in March.
Yukio OHSAWA, Dr.
- - 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
******** ******** 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/
<The Scope of Chance Discovery>
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.
<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 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.
<Organizer of the session>
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
<Important Dates>
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.
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
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