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Call for Papers FLAIRS-2009 Special Track on Data Mining The 22nd
International FLAIRS Conference (FLAIRS-2009)
http://www.flairs-22.info/ |
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Important Dates
Paper submissions due November 23, 2008
Notification letters sent January , 2009
Camera ready copy due February , 2009
Papers are being solicited
for a special track on Data Mining at the 22nd International FLAIRS
Conference (FLAIRS-2009). The special track will be devoted to data mining with
the aim of presenting new and important contributions in this area. The areas
include, but are not limited to, the following: applications such as
Intelligence analysis, medical and health applications, text, video, and
multi-media mining, E-commerce and web data, financial data analysis, intrusion
detection, remote sensing, earth sciences, and astronomy; modeling algorithms
such as hidden Markov, decision trees, neural networks, statistical methods, or
probabilistic methods; case studies in areas of application, or over different
algorithms and approaches; feature extraction and selection; post-processing
techniques such as visualization, summarization, or trending; preprocessing and
data reduction; data engineering or warehousing; or other data mining research which is
related to artificial intelligence.
Submission Guidelines
Interested authors must
submit completed manuscripts by November 23, 2008. Submissions should be no
more than 6 pages (4000 words) in length, including figures. Fake author names
and affiliations must be used on submitted papers, to provide double-blind
reviewing. Papers must be submitted as PDF through the EasyChair
conference system. (N.B. Do not use a fake name for
your EasyChair login - your EasyChair
account information is hidden from reviewers.) Papers should be formatted
according to AAAI Guidelines. Submission instructions can be found at the
FLAIRS-09 website given above. Notification of acceptance will be mailed around
January, 2009. Authors of accepted papers will be expected to submit the final
camera-ready copies of their full papers by February, 2009 for publication in
the conference proceedings which will be published by AAAI Press. Authors may
be invited to submit a revised copy of their paper to a special issue of the
International Journal on Artificial Intelligence Tools (IJAIT).
Questions regarding the
track should be addressed to: William Eberle at weberle@tntech.edu or David
Bisant at bisant@umbc.edu.
FLAIRS 2009 Invited Speakers
Professor Freuder is the Director of the Cork Constraint Computation Centre in the Department of Computer Science at University College Cork in Ireland. He received his B.A., magna cum laude, in mathematics from Harvard and a Ph.D. in computer science from M.I.T. He has been elected a Fellow of the American Association for the Advancement of Science, the Association for the Advancement of Artificial Intelligence, and the European Coordinating Committee for Artificial Intelligence, and is a Member of the Royal Irish Academy. He received the first Research Excellence Award of the Association for Constraint Programming, and served as Executive Chair of the Organizing Committee of the series of International Conferences on Principles and Practice of Constraint Programming, and as the founding Editor-in-Chief of the Constraints journal. In the Citeseer database of most cited authors in computer science Professor Freuder is ranked in the top one-tenth of one per cent. He has played a key role in obtaining over 60 million dollars in funding from government and industry to support scientific research.
AutoTutor and the World of Pedagogical Agents: Intelligent Tutoring Systems with Natural Language Dialogue
AutoTutor is a computer tutor that helps students learn concepts in science and technology by holding a conversation in natural language. Students input their contributions through a keyboard or speech, whereas AutoTutor communicates through an animated conversational agent with speech, facial expressions, and some rudimentary gestures. A recent version tracks and responds to learner emotions. Another version is integrated with an interactive simulation environment. Assessments of AutoTutor on learning gains have been quite promising (nearly a letter grade) compared with reading a textbook. This presentation describes AutoTutor and some of its offspring with animated pedagogical agents.
Art Graesser is a
professor in the Department of Psychology, an adjunct professor in Computer
Science, and co-director of the Institute of Intelligent Systems at the
University of Memphis. Dr. Graesser
received his Ph.D. in psychology from the University of California at San Diego
and was a visiting researcher at Yale University, Stanford University, and
Jan Wiebe is
Professor of Computer Science and Director of the Intelligent Systems Program
at the
Special Track Committee
• William Eberle
(Co-Chair)
• David Bisant (Co-Chair) The Laboratory for
Physical Sciences,
• Jesus
Gonzalez NIAOE,
• Nitesh
Chawla University of Notre
• Diane
Cook
• Olac
Fuentes
• Slawomir Zadrozny Systems Research Institute, Polish
• Rafal Angryk Montana State University, USA
•
• Jorge
Ramirez Apple Computer,
• SeungJin Lim
• Eduardo Morales NIAOE,
• Hyoil Han Drexel University,
• Douglas Talbert
• Reza
Tayebnejad Verizon Business
Solutions,
• Jacek Kukluk Dana-Farber/Harvard Cancer Center,