dbjapan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)
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- Subject: [dbjapan] The International Workshop on Data-Mining and Statistical Science (DMSS2008)
- From: Toshihiro Kamishima <mail [at] kamishima.net>
- Date: Wed, 10 Sep 2008 13:05:34 +0900
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.
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