Dec 6-8, 1999
SECOND INTERNATIONAL CONFERENCE ON DISCOVERY SCIENCE
Location: Tokyo, Japan
Contact: http://www.i.kyushu-u.ac.jp/ds99
Description:
The second international conference on Discovery Science (DS'99) will be held at Waseda University International Conference Center, Tokyo, Japan, from December 6 to 8, 1999. The conference will be sponsored by Grant-in-Aid for Scientific Research on Priority Area "Discovery Science", in cooperation with Japanese Society for Artificial Intelligence, and with SIG of Data Mining, Japan Society for Software Science and Technology. The conference will be colocated with the Tenth International Conference on Algorithmic Learning Theory (ALT'99).
The "Discovery Science" is a three year project from 1998 to 2000 that aims to (1) develop new methods for knowledge discovery, (2) install network environments for knowledge discovery, and (3) establish the Discovery Science as a new area of Computer Science. A systematic research is planned that ranges over philosophy, logic, reasoning, computational learning and system developments. We are now close to the end of the first year and quite a few new research results are being expected.
The main objective of this conference is to provide an open forum for intensive discussions and interchange of new information among researchers working in the new area of Discovery Science. We believe that such forum will be of benefit to the participants of the conference as well as to the "Discovery Science" project.
Invited lectures will be delivered by Professor Donald Michie (University of Edinburgh), Professor Stuart Russell (University of California, Berkeley), Professor Jan M Zytkow (University of North Carolina). There will be three more speakers invited by ALT'99: Katharina Morik (University of Dortmund), Robert Schapire (AT&T Shannon Lab.), and Kenji Yamanishi (NEC).
Dec 12-15, 1999
THE WHARTON SCHOOL'S "DATA MINING: LEVERAGING KNOWLEDGE FOR
PROFITABILITY" PROGRAM
Location: Philadelphia, PA
Contact: http://wh-execed.wharton.upenn.edu/2440.cfm
Description:
Website: http://www.wharton.upenn.edu/execed/eecat/dm.html
You know that extracting information from data is no longer just a competitive advantage; it has become a strategic imperative. You're convinced that your organization must implement a knowledge-discovery process. You know you need strategic direction and buy-in from management to succeed. You're eager to begin but unsure about whom to involve and where to start. Wharton's Data Mining: Leveraging Knowledge for Profitability program can help.
Everyone is talking about data mining but very few organizations are doing it well. One recent study, for example, found that only about a third of companies use data mining resources strategically. This program takes a realistic view of the strengths and limitations of data mining and the importance of a strategic focus.
Faculty will take participants through the steps in the knowledge discovery process, examining issues related to collecting the right data for the problem and distinguishing among the types of models best used for specific problems. The program will also outline the differences among data mining tools and techniques. Discussions during the program are grounded in real-life cases, case presentations by participants, and the perspectives of invited industry guests.
Key Takeaways:
Selected Session Topics include:
This program is intended for senior and middle managers with responsibility for marketing, finance, new business development, customer relationship management, credit risk, e-commerce, decision support and information systems. It will be held December 12-15, 1999 at the Wharton School's executive learning facility, the Steinberg Conference Center, on the University of Pennsylvania campus in Philadelphia. The registration fee of $4,950 includes all lodging and meals.
Dec 15-17, 1999
IAT'99: 1ST ASIA-PACIFIC CONFERENCE ON INTELLIGENT AGENT TECHNOLOGY
Location: Hong Kong
Contact: http://www.comp.hkbu.edu.hk/IAT99
Description:
The Asia-Pacific Conference on Intelligent Agent Technology (IAT) is a high-quality, high-impact biannual agent conference series. As the first meeting in this new series, IAT'99 will primarily focus on (i) the state-of-the-art in the development of intelligent agents and (ii) the theoretical and computational foundations of intelligent agent technology. The aim of IAT'99 is to bring together researchers and practitioners from diverse fields, such as computer science, information technology, business, education, human factors, systems engineering, and robotics to (i) examine the design principles and performance characteristics of various approaches in intelligent agent technology, and (ii) increase the cross-fertilization of ideas on the development of autonomous agents and multiagent systems among different domains. By encouraging idea-sharing and discussions on the underlying logical, cognitive, physical, and biological foundations as well as the enabling technologies of intelligent agents, IAT'99 is expected to stimulate the future development of new models, new methodologies, and new tools for building a variety of embodiments of agent-based systems.
Dec 18, 1999
EXPLORATIONS IN DATA MINING FOR COMPUTATIONAL FINANCE
Location: Muenster, Germany
Contact: info@ikdi.com.au
Jan 31, 1999 - Feb 1, 2000
REGRESSION AND CLASSIFICATION: STATISTICAL METHODS
FOR MODELING AND PREDICTION
Location: San Diego, CA
Contact: http://www-stat.stanford.edu/~hastie/mrc.html
Apr 10-13, 2000
ICDCS INTERNATIONAL WORKSHOP OF KNOWLEDGE DISCOVERY
& DATA MINING IN THE WORLD-WIDE WEB
Location: Taipei, Taiwan, ROC
Contact: http://www.ee.ntu.edu.tw/~mschen/workshop/cfp.htm
Apr 18-20, 2000
FOURTH PACIFIC-ASIA CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING
Location: Kyoto, Japan
Contact: http://www.keihanna-plaza.co.jp/pakdd00/
May 5, 2000
THIRD WORKSHOP ON HIGH PERFORMANCE DATA MINING
Location: Cancun, Mexico
Contact: http://www.cs.rpi.edu/~zaki/HPDM/
Description:
The 3rd WORKSHOP ON HIGH PERFORMANCE DATA MINING
Friday, May 5th, 2000, Cancun, Mexico
with Int'l Parallel and Distributed Processing Symposium (IPDPS'00)
(the new name for the merged IPPS and SPDP conferences)
The explosive growth in data collection in business and scientific fields has literally forced upon us the need to analyze and mine useful knowledge from it. Data mining refers to the entire process of extracting useful and novel patterns/models from large datasets. Due to the huge size of data and amount of computation involved in data mining, high-performance computing is an essential component for any successful large-scale data mining application. This workshop will provide a forum for presenting recent results in high-performance computing for data mining including applications, algorithms, software, and systems. High-performance should be broadly interpreted as including scalable sequential as well as parallel and distributed algorithms and systems.
Workshop proceedings will be published as a volume in Springer-Verlag's LNCS series. For up-to-date information on this workshop, please see http://www.cs.rpi.edu/~zaki/HPDM/.
IMPORTANT DATES:
WORKSHOP CHAIRS:
July 5-7, 2000
SECOND INTERNATIONAL CONFERENCE ON DATA MINING
Location: Cambridge, UK
Contact: http://www.wessex.ac.uk
Description: Organised by Wessex Institute of Technology, UK
Data mining is a promising and relatively new area of current research and development which can provide important advantages to the users. It can yield substantial knowledge from data primarily gathered for a wide range of quite different applications. Financial institutions have derived considerable benefits from its application and other industries and disciplines are now applying the methodology to increasing effect.
The second International Conference on Data Mining will provide an international forum for the sharing of original research results and practical development experiences among researchers and applications developers from different areas such as computer experts, statisticians, knowledge acquisition specialists, data analysts, IT consultants, data visualisation experts, and users and developers in business and industry.
The Conference aims to bring together the participants from academic and research, industry and government organisations. The meeting will allow participants to learn about the many different applications of data mining and how the techniques can help in their own field.
Please forward all relevant conference listings to dseditor@dsstar.com.