SECOND INTERNATIONAL WORKSHOP ON ACTIVE MINING (AM-2003)
IN CONJUNCTION WITH ISMIS2003

October 28, 2003
Maebashi TERRSA, Maebashi City, Japan

Sponsored by
JSAI SIGKBS (Japanese Artificial Intelligence Society, Special Interest Group on Knowledge-Based System )
Grant-in-Aid for Scientific Research on Priority Areas (No.759) "Implementation of Active Mining in the Era of Information Flood"

Workshop URL: http://www.shimane-med.ac.jp/med_info/am2003/
(Main URL of ISMIS03: http://www.wi-lab.com/ismis03/)

Final program is now available!

BACKGROUND

Active mining is a new direction in the knowledge discovery process for real-world applications handling various kinds of data with actual user need.

Our ability to collect data, be it in business, government, science, and perhaps personal, has been increasing at a dramatic rate, which we call "information flood". However, our ability to analyze and understand massive data lags far behind our ability to collect them. The value of data is no longer in "how much of it we have". Rather, the value is in how quickly and effectively can the data be reduced, explored, manipulated and managed.

For this purpose, Knowledge Discovery and Data mining (KDD) emerges as a technique that extracts implicit, previously unknown, and potentially useful information (or patterns) from data. However, recent extensive studies and real world applications show that the following requirements are indispensable to overcome "information flood":

1. identifying and collecting the relevant data from a huge information search space (active information collection),
2. mining useful knowledge from different forms of massive data efficiently and effectively (user-centered active data mining), and
3. promptly reacting to situation changes and giving necessary feedback to both data collection and mining steps (active user reaction).

Active mining is proposed as a solution to these requirements, which collectively achieves the various mining need. By "collectively achieving" we mean that the total effect outperforms the simple add-sum effect that each individual effort can bring.

The objectives of this workshop is to gather researchers as well as practitioners who are working on various research fields of active mining, share hard-learned experiences, and shed light on future development of active mining. This workshop will address many aspects of active mining ranging from theories, methodologies, algorithms, to their applications. Through this workshop, we hope to produce a contemporary overview of modern solutions and to create synergy among different branches but with a similar goal - facilitating data collection, processing and knowledge discovery via active mining.

TOPICS

Topics of the conference include, but are not limited to, the following areas.

• Discovery of new information source
• Active collection of information
• Tools for information collection
• Information filtering
• Information retrieval, collection, and integration on WWW for data mining
• Data mining process
• Inspection and validation of mined pieces of knowledge
• Description language for discovery Evaluation and accountability
• Interactive mining Design and deployment of customer response model in CRM
• Adaptive modeling in data mining
• Selection, transformation, and construction of features
• Selection and construction of instances
• Exception/deviation discovery Visualization
• Spatial data mining
• Text mining
• Graph mining
• Success/failure stories in data mining and lessons learned
• Data mining for evidence-based medicine
• Distributed data mining
• Data mining for knowledge management
• Active learning
• Meta learning
• Active sampling
• Usability of mined pieces of knowledge
• User interface for data mining

IMPORTANT DATES

PAPER FOR SUBMISSION

All submitted papers will be reviewed on the basis of technical quality, relevance, significance, and clarity. Electronic submission is encouraged and preferred. Please send a Postscript (PS) or PDF version of your paper by September 15, 2003 to Shusaku Tsumoto (am2003@shimane-med.ac.jp). The draft paper should be less than 6000 words. The cover page must include author(s) full address, e-mail, paper title and a 200 word abstract, and up to 5 keywords.

ORGANIZERS

Hiroshi Motoda, Osaka University
Masayuki Numao, Osaka University
Takahira Yamaguchi, Shizuoka University
Shusaku Tsumoto, Shimane Medical University

CONTACT PERSON

Prof. Shusaku Tsumoto
Department of Medical Informatics, School of Medicine
Shimane Medical University
89-1 Enya-cho, Izumo 693-8501 Japan
E-mail: tsumoto@computer.org

PC MEMBERS

Hiroki Arimura (Kyushu University, Japan)
Stephen D. Bay (Stanford University, U.S.A.)
Wesley Chu (UCLA, U.S.A.)
Saso Dzeroski (Jozef Stefan Institute, Slovenia)
Shoji Hirano (Shimane Medical University, Japan)
Tu Bao Ho (JAIST, Japan)
Robert H.P. Engels (CognIT, Norway)
Ryutaro Ichise (NII, Japan)
Akihiro Inokuchi (IBM Japan, Japan)
Hiroyuki Kawano (Kyoto University, Japan)
Yasuhiko Kitamura (Osaka City University, Japan)
Marzena Kryszkiewicz (Warsaw University of Technology, Poland)
T.Y. Lin (San Jose State University, U.S.A.)
Bing Liu (University of Illinois at Chicago, U.S.A.)
Huan Liu (Arizona State University, U.S.A.)
Tsuyoshi Murata (NII, Japan)
Masayuki Numao (Tokyo Institute of Technology, Japan)
Miho Ohsaki (Shizuoka University, Japan)
Takashi Onoda (CRIPEI, Japan)
Luc de Raedt (University of Freiburg, Germany)
Zbigniew Ras (University of North Carolina, U.S.A.)
Henryk Rybinski (Warsaw University of Technology)
Masashi Shimbo (NAIST, Japan)
Einoshin Suzuki (Yokohama National University, Japan)
Masahiro Terabe (MRI, Japan)
Ljupico Todorovski (Jozef Stefan Institute, Slovenia)
Seiji Yamada (NII, Japan)
Yiyu Yao (University of Regina, Canada)
Kenichi Yoshida (University of Tsukuba, Japan)
Tetsuya Yoshida (Osaka University, Japan)
Stefan Wrobel (University of Magdeburg, Germany)
Ning Zhong (Maebashi Institute of Techonology, Japan)

Last Update: 2003/10/23