学会員メーリングリストアーカイブ (2008年)

[dbjapan] The International Workshop on Data-Mining and Statistical Science (DMSS2008)


DB Japanの皆様

神嶌@産業技術総合研究所です

データベース,機械学習,統計の融合分野であるデータマイニングに関する下記
のワークショップを開催いたします.
つきましては,本DB Japanメーリングリストをお借りし,論文募集をご案内させ
ていただきました.

本ワークショップは人工知能学会 データマイニングと統計数理研究会との共催
ですが,会員でない方も発表いただけます.
みなさまのご投稿をお待ちしております.


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The International Workshop on Data-Mining and Statistical Science (DMSS2008)
http://sigdmsm.org/dmss2008/

Date: September 25-26, 2008
Location: Tokyo Institute of Technology
O-okayama Campus, South Bldg. 2, Room S222
(Building #31 in the map below)
http://www.titech.ac.jp/access-and-campusmap/e/o-okayamaO.html

Aim:
Analyzing a wide variety of massive-scale complex data is the central
and challenging issue in the data mining community since the Internet
allows us to access such data in a fast and inexpensive manner. The
purpose of DMSS2008 is to bring together researchers from statistical
science and machine learning and have extensive discussions on diverse
aspects of statistical data mining. We solicit papers addressing
theoretical and methodological aspects of machine learning,
statistical science, and their relevant fields, which contribute to
understanding and development of data mining.

We have dealt with various disciplines of data mining in Japanese
Society of Artificial Intelligence (JSAI) Special Interest Groups such
as Knowledge-Based Systems (SIG-KBS) and Fundamental Problem of AI
(SIG-FPAI). On the other hand, there are strong requests from data
mining researches for more extensive and structured discussions on
statistical science and machine learning. In response to such
movement, we newly started the workshop on data mining and statistical
mathematics (SIG-DMSM). This workshop deals with statistical and
machine learning aspects of data mining, and aims at creating new data
mining paradigms. DMSS is an annual international workshop within the
framework of SIG-DMSM.

Topics of interest include, but not limited to, the following areas:
Statistical and Bayesian modeling, Data Mining, Machine Learning,
Probabilistic and Statistical Reasoning, Data Visualization,
Algorithmic Search and Reasoning for Data Mining, Algebraic Approach
to Data Mining, Data Base Architecture and Processing for Data Mining,
Applications of Data Mining and Statistical Sciences to Real World
Tasks, e.g., Bioinformatics and Marketing.

Submission:

Please submit your extended abstract written in English. The length
should be 2 to 4 pages, but no style file designated. We only accept
the PDF format.
Submission deadline is August 22, 2008.

Invited speakers:
- Koji Tsuda (Max Planck Institute for Biological Cybernetics, Germany)
New Directions in Statistical Graph Mining

- Liwei Wang (Peking University, China)
Theoretical Explanation of the Boosting Algorithms

- Jun Sakuma (Tokyo Institute of Technology, Japan)
Privacy-preserving Data Mining and Machine Learning

Registration fee: Free

Important dates:
August 22, 2008 Paper submission deadline
September 5, 2008 Notification of acceptance/rejection
September 25-26, 2008 Workshop

Committee members:
- Workshop chair
Masashi Sugiyama (Tokyo Institute of Technology)

- Program committee
Takashi Washio (Osaka University)
Tomoyuki Higuchi (The Institute of Statistical Mathematics)
Akihiro Inokuchi (Osaka University)
Toshihiro Kamishima (National Institute of Advanced Industrial
Science and Technology)
Hiroyuki Minami (Hokkaido University)

- Local organizing committee
Ryota Tomioka (Tokyo Institute of Technology)
Yoshinobu Kawahara (Tokyo Institute of Technology)

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Special Issue on Data-Mining and Statistical Science in New Generation
Computing

We are planning to have a special issue in New Generation Computing.
http://sigdmsm.org/dmss2008/ngc.html

Original papers related to Data-Mining and Statistical Science will be
considered for publication. Submission to the special issue is not
limited to those who presented their work at DMSS2008. All the papers
should be written in English and formatted according to the designated
style available from
http://www.ohmsha.co.jp/ngc/instruction.htm

Deadline for the submission to the special issue:
December 31, 2008.