THIRD INTERNATIONAL WORKSHOP ON ACTIVE MINING (AM-2004)

in conjunction with

the Eighteenth Annual Conference of the Japanese Society for Artificial Intelligence (JSAI-2004)

June 1, 2004

Fuyo Room, 1st Floor,
Ishikawa Kousei Nenkin Kaikan
Kanazawa, Japan

Sponsored by:
Japanese Society for Artificial Intelligence
Active Mining Project (Grant-in-Aid for Scientific Research on Priority Areas, No.759)

Workshop URL: http://www.ai.sanken.osaka-u.ac.jp/am2004/

Update: Proceedings is now available online.
Update: The workshop will be held at Fuyo Room, 1st Floor of Ishikawa Kousei Nenkin Kaikan
Update: 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 life, 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 in Databases (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 various mining needs. By "collectively achieving" we mean that the total effect outperforms the simple add-sum effect that each effort can bring.

The objective 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 modern solutions facilitating data collection, processing and knowledge discovery and to create synergy among different branches.

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

Deadline of Paper Submission: March 12, 2004 (extended)
Notification of Review Result: April 15, 2004
Deadline of Camera Ready Copy: April 30, 2004
Workshop Date: June 1, 2004

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 within 10 pages in Springer Lecture Note format:
    http://www.springer.de/comp/lncs/authors.html
by March 12, 2004 at:
    http://www.ai.sanken.osaka-u.ac.jp/am2004/submit.html

ORGANIZERS

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

PROGRAM COMMITTEE

Hiroki Arimura (Kyushu University, Japan), Stephen D. Bay (Stanford University, U.S.A.), Hendrik Blockeel (Katholieke Universiteit Leuven, Belgium), Robert H.P. Engels (CognIT, Norway), Shoji Hirano (Shimane Medical University, Japan), Tu Bao Ho (JAIST, Japan), Akihiro Inokuchi (IBM Japan, Japan), Hiroyuki Kawano (Kyoto University, Japan), Boonserm Kijsirikul (Chulalongkorn University, Thailand), Ross D. King (The University of Wales, Aberystwyth), Yasuhiko Kitamura (Osaka City University, Japan), Ravi Kothari (IBM - India Research Lab, India), Marzena Kryszkiewicz (Warsaw University of Technology, Poland), T.Y. Lin (San Jose State University, U.S.A.), Huan Liu (Arizona State University, U.S.A.), Masayuki Numao (Osaka University, Japan), Miho Ohsaki (Shizuoka University, Japan), Takashi Okada (Kwansei Gakuin University, Japan), Takashi Onoda (CRIEPI, Japan), Yukio Ohsawa (University of Tsukuba, Japan), Luc de Raedt (University of Freiburg, Germany), Henryk Rybinski (Warsaw University of Technology, Poland), Masashi Shimbo (NAIST, Japan), Einoshin Suzuki (Yokohama National University, Japan), Yoshimasa Takahashi (Toyohashi University of Technology, Japan), Masahiro Terabe (MRI, Japan), Ljupico Todorovski (Jozef Stefan Institute, Slovenia), Shusaku Tsumoto (Shimane Medical University, Japan), Stefan Wrobel (University of Magdeburg, Germany), Seiji Yamada (NII, Japan), Takahira Yamaguchi (Sizuoka University, Japan), Yiyu Yao (University of Regina, Canada), Kenichi Yoshida (University of Tsukuba, Japan), Tetsuya Yoshida (Osaka University, Japan)

CONTACT PERSON

Prof. Masayuki Numao
The Institute of Scientific and Industrial Research
Osaka University
8-1 Mihogaoka, Ibaraki, Osaka, 567-0047, Japan
E-mail: Contact Form


Last Modified: February 10, 2004