Time for presentation

1hour
Invited talks
30min
regular presentation

September 25

9:55-10:00
Opening Remark
10:00-12:00
Session 1
Feasibility of Graph Sequence Mining based on Admissibility Constraints
Akihiro Inokuchi and Takashi Washio (Osaka University, Japan)
Mining Maximal Tree Patterns with Subtree Constraint
Nguyen Viet Anh, Koichiro Doi, and Akihiro Yamamoto (Kyoto University, Japan)
On Feasibility of Graph Spectrum-based Frequent Sub-graph Mining
Kouzou Ohara, Takashi Washio, and Duy Vinh Nguyen (Osaka University, Japan)
Discovery of Closed Hyperclique Patterns in a Sequence of Graphs
Tomonobu Ozaki and Takenao Ohkawa (Kobe University, Japan)
12:00-13:30
Lunch
13:30-15:30
Session 2
New Directions in Statistical Graph Mining (Invited)
Koji Tsuda (Max Planck Institute for Biological Cybernetics, Germany)
Constrained Motif Discovery
Yasser Mohammad and Toyoaki Nishida (Kyoto University, Japan)
Using Product-of-Student-t for Label Propagation on Multiple Networks
Tsuyoshi Kato (Ochanomizu University & AIST CBRC, Japan), Hisashi Kashima (IBM Research, Japan), and Masashi Sugiyama (Tokyo Institute of Technology, Japan)
15:30-15:45
Break
15:45-17:45
Session 3
Privacy-preserving Data Mining and Machine Learning (Invited)
Jun Sakuma (Tokyo Institute of Technology, Japan)
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)
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

September 26

10:00-12:00
Session 4
A Top N Closed Pattern Miner using Counterexamples
Li Ai Xiang, Makoto Haraguchi, and Yoshiaki Okubo (Hokkaido University, Japan)
Mining and Visualizing Local Dependence among Financial Data
Teruko Takada (Osaka City University, Japan)
Algorithm for Computing Skyline ObjectSet on Numerical Databases
Md. Anisuzzaman, Taufik Djatna, and Yasuhiko Morimoto (Hiroshima University, Japan)
Forecast of Criminal Character by Text Mining of Suspicious Person Behavior Report
Ariya Fujita (National Institute for Environmental Studies, Japan) and Shigeru Shimada (Advanced Institute of Industrial Technology, Japan)
12:00-13:30
Lunch
13:30-15:00
Session 5
Theoretical Explanation of the Boosting Algorithms (Invited)
Liwei Wang (Peking University, China)
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
15:15-16:45
Session 6
Feature Selection for Temporal Data Mining
Basabi Chakraborty (Iwate Prefectural University, Japan)
Semi-Supervised Speaker Identification under Covariate Shift
Makoto Yamada and Masashi Sugiyama (Tokyo Institute of Technology, Japan)
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