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

人工知能学会 データマイニングと統計数理研究会主催の国際ワークショップ
DMSS2008 を 9月25-26日 に開催いたします.
以下の3件の招待講演と16件の一般発表を予定していますので,積極的な議論を
展開していただきたく,皆様のご参加をお待ちしています.
なお,本会議には事前登録は不要ですが,懇親会には事前登録 (9/19まで) をお
願いしています.詳細は,下記のアナウンスをご覧下さい.

招待講演概要
- 津田宏治:New Directions in Statistical Graph Mining
  化合物などをグラフを利用して分析する手法について
- 佐久間淳:Privacy-preserving Data Mining and Machine Learning
  個々データは秘匿したままマイニングを実行するプライバシー保護データマイ
ニングについて
- Liwei Wang:Theoretical Explanation of the Boosting Algorithms
  ブースティングとマージンの理論的関連性について



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

We are pleased to announce the program of the DMSS2008, including three
invited talks and sixteen regular presentations. We are looking forward
your participation and exciting discussion at the 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

Workshop Scope:
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.


****** Invited Talks ******

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

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

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

Abstracts of these talks can be found at
http://sigdmsm.org/dmss2008/italk.html


****** Banquet *******

http://sigdmsm.org/dmss2008/banquet.html

We are planning to have a banquet in the evening of September 25th(the
1st day of the workshop).  We look forward to your active participation
also in the banquet!

Those who would like to participate in the banquet, please send
- your name
- affiliation
- e-mail address
to
dmss2008 [at] sigdmsm.org

The deadline for the registration will be September 19th (Fri).

Banquet Details:

Date      September 25 (Thu) 18:00 - 20:00
Location  The Centennial Hall, Tokyo Institute of Technology
          http://www.libra.titech.ac.jp/cent/cent-e.html

Banquet fee:
- 2,000 Yen (students)
- 3,000 Yen (others)


****** Program *******

http://sigdmsm.org/dmss2008/schedule.html

#### Sep. 25 ####

9:55-10:00
Opening Remark

10:00-10:30
Feasibility of Graph Sequence Mining based on Admissibility Constraints
Akihiro Inokuchi and Takashi Washio (Osaka University, Japan)

10:30-11:00
Mining Maximal Tree Patterns with Subtree Constraint
Nguyen Viet Anh, Koichiro Doi, and Akihiro Yamamoto (Kyoto University,
Japan)

11:00-11:30
On Feasibility of Graph Spectrum-based Frequent Sub-graph Mining
Kouzou Ohara, Takashi Washio, Duy Vinh Nguyen (Osaka University, Japan)

11:30-12:00
Discovery of Closed Hyperclique Patterns in a Sequence of Graphs
Tomonobu Ozaki and Takenao Ohkawa (Kobe University, Japan)

12:00-13:30
Lunch

13:30-14:30
New Directions in Statistical Graph Mining (Invited)
Koji Tsuda (Max Planck Institute for Biological Cybernetics, Germany)

14:30-15:00
Constrained Motif Discovery
Yasser Mohammad and Toyoaki Nishida (Kyoto University, Japan)

15:00-15:30
Using Product-of-Student-t for Label Propagation on Multiple Networks
Tsuyoshi Kato (Ochanomizu University & AIST CBRC, Japan)
Hisashi Kashima (IBM Research, Japan)
Masashi Sugiyama (Tokyo Institute of Technology, Japan)

15:30-15:45
Break

15:45-16:45
Privacy-preserving Data Mining and Machine Learning (Invited)
Jun Sakuma (Tokyo Institute of Technology, Japan)

16:45-17:15
Feature Extraction with Geometric Algebra for Semi-Supervised Learning
of Time-Series Spatial Vector
Minh Tuan Pham, Kanta Tachibana, Tomohiro Yoshikawa, and Takeshi
Furuhashi (Nagoya University, Japan)

17:15-17:45
Feature Similarity: Geometrical Modeling and Discriminative Kernel Learning
Canh Hao Nguyen and Tu Bao Ho (Japan Advanced Institute of Science and
Technology, Japan)

18:00-20:00
Banquet


#### Sep. 26 ####

10:00-10:30
A Top N Closed Pattern Miner using Counterexamples
Li Ai Xiang, Makoto Haraguchi, and Yoshiaki Okubo (Hokkaido University,
Japan)

10:30-11:00
Mining and Visualizing Local Dependence among Financial Data
Teruko Takada (Osaka City University, Japan)

11:00-11:30
Algorithm for Computing Skyline ObjectSet on Numerical Databases
Md. Anisuzzaman Siddique, Taufik Djatna and Yasuhiko Morimoto (Hiroshima
University, Japan)

11:30-12:00
Forecast of Criminal Character by Text Mining of Suspicious Person
Behavior Report
Ariya Fujita and Shigeru Shimada (Advanced Institute of Industrial
Technology, Japan)

12:00-13:30
Lunch

13:30-14:30
Theoretical Explanation of the Boosting Algorithms (Invited)
Liwei Wang (Peking University, China)

14:30-15:00
Attribute Selection for Databases that Contain Correlations by Using
Two-Dimensional Rules
Taufik Djatna and Yasuhiko Morimoto (Hiroshima University, Japan)

15:00-15:15
Break

15:15-15:45
Feature Selection for Temporal Data Mining
Basabi Chakraborty (Iwate Prefectural University, Japan)

15:45-16:15
Semi-Supervised Speaker Identification under Covariate Shift
Makoto Yamada and Masashi Sugiyama (Tokyo Institute of Technology, Japan)

16:15-16:45
Personalized Tag Predition Boosted by BaggTaming: A Case Study of the
Hatena Bookmark
Toshihiro Kamishima, Masahiro Hamasaki, and Shotaro Akaho (AIST, Japan)

16:45-17:00
Closing Remark


****** 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)


******************************************************************
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.