- 1. Canh Hao Nguyen, Tu Bao Ho: Sampling for Imbalanced Data Learning
- 5. Jan Poland: General Consistency Theorems for Proper Discrete Bayesian Learning
- 7. Kurihara: Discovering Concepts from Word Cooccurrences with a Relational Model
- 9. Kouki Yonezawa: On Designing Trust Calculation Algorithms on P2P Networks with Turnover
- 10. Minh-Hoang Le, Tu-Bao Ho, and Yoshiteru Nakamori: Scientific Emerging Trend Detection
- 14. Masaki Murata, Koji Ichii, Qing Ma, Tamotsu Shirado, Toshiyuki Kanamaru, Sachiyo Tsukawaki, Hitoshi Isahara: Text mining and visualization system for numerical information from a large number of documents
- 15. Michael E. Houle: ClusteringWithout Data: the Relevant-Set Correlation Model
- 16. Michael E. Houle: Clustering Without Data: the GreedyRSC Heuristic
- 17. Shin-ichi Minato, Hiroki Arimura: Frequent Closed Item Set Mining Based on Zero-suppressed BDDs
- 18. Shin-ichi Minato, Kimihito Ito: Symmetric Item Set Mining Method Using Zero-suppressed BDDs and Application to Biological Data
- 19. Kobayashi Nozomi, Inui Kentaro, Yuji Matsumoto : Opinion Mining from Weblogs: Extraction and Structurization
- 21. Ryuiti Koike, Naoshi Nakaya, Yuuji Koui: Filter for Detecting Unknown Computer Viruses Using Graham Bayes Learning Algorithm for Spam Detection
- 24. Takuya Kida, Takashi Uemura, Hiroki Arimura: Online Construction of Truncated Suffix Tree with Word Count Limitation
- 25. Tetsuji Kuboyama, Hisashi Kashima, F. Aoki-Kinoshita, Kouichi Hirata, Hiroshi Yasuda: A Spectrum Tree Kernel
- 27. Toshihiro Kamishima, Shotaro Akaho: Nantonac Collaborative Filtering
- 29. Viet Phuong Nguyen, Takashi Washio: Modeling Dynamics of Massive Dimensional and Complex Systems
- 30. Yusuke Izumi: Parallel EM Learning for Symbolic-Statistical Models
- 31. Nataliya Lamonova, Yuzuru Tanaka:
A Probabilistic Fuzzy Clustering Algorithm with Application
to Web Document Collections
This page is modified on 11 SEP 2006.
This page is created on 03 SEP 2006.
DMSS2006, Program Committee