International Conference Proceedings
- "Proximity-Based Anomaly Detection using Sparse Structure Learning"
Tsuyoshi Ide, Aurelie C. Lozano, Naoki Abe, and Yan Liu,
Proceedings of 2009 SIAM International Conference on Data Mining (SDM 09), pp.97-108 [ppt].
- "Travel-Time Prediction using Gaussian Process Regression: A Trajectory-Based
Approach"
Tsuyoshi Ide, and Sei Kato,
Proceedings of 2009 SIAM International Conference on Data Mining (SDM 09), pp.1185-1196 [ppt].
- "Semi-Supervised Local Fisher Discriminant Analysis for Dimensionality Reduction"(draft version)
Masashi Sugiyama, Tsuyoshi Ide, Shinichi Nakajima, and Jun Sese,
Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data
Mining (PAKDD 08), pp.333-344 [final version].
- "Unsupervised Change Analysis using Supervised Learning"(draft version)
Shohei Hido, Tsuyoshi Ide, Hisashi Kashima, Harunobu Kubo, and Hirofumi Matsuzawa,
Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data
Mining (PAKDD 08), pp.148-159 [final version].
- "Computing Correlation Anomaly Scores using Stochastic Nearest Neighbors"
Tsuyoshi Ide, Spiros Papadimitriou, and Michail Vlachos,
Proceedings of the seventh IEEE International Conference in Data Mining
(ICDM 07), Oct. 28-31, 2007, [ppt].
- "Change-point detection using Krylov subspace learning"
Tsuyoshi Ide and Koji Tsuda,
Proceedings of 2007 SIAM International Conference on Data Mining (SDM 07), pp.515-520 [ppt].
- "Translational symmetry in subsequence time-series clustering"(draft version)
Tsuyoshi Ide,
New Frontiers in Artificial Intelligence: Proceeding of the 20th Annual
Conferences of the Japanese Society for Artificial Intelligence (JSAI 2006, 7-9 June, 2006, Tokyo), Lecture Notes in Artificial Intelligence, Springer,
Vol. 4384, pp.5-18 [final version].
- "Why does Subsequence Time-Series Clustering Produce Sine Waves?"(draft version)
Tsuyoshi Ide,
Proceedings of the 10th European Conference on Principles and Practice
of Knowledge Discovery in Databases (PKDD 06), Sep 18-22, 2006, Lecture Notes in Artificial Intelligence 4213, Springer,
pp.311-322 [ppt, final version].
- "Pairwise Symmetry Decomposition Method for Generalized Covariance Analysis"
Tsuyoshi Ide,
Proceedings of the fifth IEEE International Conference in Data Mining (ICDM 05), Nov 20-27, 2005, pp.657-660 [ppt].
- "Knowledge Discovery from Heterogeneous Dynamic Systems using Change-Point
Correlations"
Tsuyoshi Ide and Keisuke Inoue,
Proceedings of 2005 SIAM International Conference on Data Mining (SDM 05), April 21-23, 2005, pp.571-576 [ppt].
- "Network-based Problem Detection for Distributed Systems,"
H. Kashima, T. Tsumura, T. Ide, T. Nogayama, R. Hirade, H. Etoh, and T. Fukuda,
Proceedings of the 21st International Conference on Data Engineering (ICDE 2005), April 5-8, 2005, pp.978-989.
- "Eigenspace-based Anomaly Detection in Computer Systems,"
Tsuyoshi Ide and Hisashi Kashima,
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge
Discovery and Data Mining (KDD 2004), pp.440-499 [ppt].
- "Effective Dimension in Anomaly Detection: Its Application to Computer Systems,"(draft version)
Tsuyoshi Ide and Hisashi Kashima,
Post-proceedings of the 18th Annual Conference of Japanese Society of Artificial
Intelligence (JSAI 2004, 2-4 June, 2004, Kanazawa), Lecture Notes in Computer Science, Springer,
Vol. 3609, pp.189-204 [final version].
Journal
- "Recent Advances and Trends in Large-scale Kernel
Methods"
Hisashi Kashima, Tsuyoshi Ide, Tsuyoshi Kato, and Masashi Sugiyama,
IEICE Transaction D, Vol.xxx (2009) pages xxx-xxx.
- "Network-Based Problem Detection for Distributed Systems,"
Hisashi Kashima, Tadashi Tsumura, Tsuyoshi Ide, Takahide Nogayama, Ryo Hirade, Hiroaki Etoh, and Takeshi Fukuda,
The IEICE Transactions on Information and Systems (Japanese Edition), Vol.
J89-D, No.2, pp.183-198, 2006.
Invited Talk / Seminar Speaker
- "Applying Machine Learning Techniques to Sensor Data Analysis"
Tsuyoshi Ide
Global COE 'CompView' kickoff event, Tokyo Institute of Technology (Dec. 13, 2007).
- "Why does subsequence time-series clustering produce sine waves?"
Tsuyoshi Ide,
Departmental Colloquium, Max Planck Institute for Biological Cybernetics
(Sep. 13, 2006).
- "A Spectral Approach to Anomaly Detection in Computer Systems"
Tsuyoshi Ide,
Scientific Computing Seminar, Berkeley Lab (April 25, 2005).
- "Feature Extraction and Anomaly Detection in Web-based Computer Systems,"
Tsuyoshi Ide and Hisashi Kashima,
Proceedings of the Seventh Workshop on Information-Based Induction Sciences
(IBIS2004, Tokyo, Japan), November 8 -10, 2004, pp.7-14, ISBN4-9902248-0-9 [in Japanese,
ppt]
Book
- "New Frontiers in Artificial Intelligence"
Hiromitsu Hattori, Takahiro Kawamura, Makoto Yokoo, Tsuyoshi Ide
(Eds.), Post-Proceedings of JSAI 2008 Conference and Workshops (Revised
Selected Papers), Japanese Society for Artificial Intelligence, Lecture
Notes in Artificial Intelligence, vol. 5447, Springer 2009 [link].
- "Pattern Recognition and Machine Learning"[info (in Japanese)]
H. Motoda, T. Kurita, T. Higuchi, Y. Matsumoto, and N. Murata (Eds.), S.
Akaho, T. Kamishima, M. Sugiyama, T. Onoda, K. Ikeda, H. Kashima, H. Kazawa,
S. Nakajima, J. Takeuchi, D. Mochihashi, S. Oyama, T. Ide, K. Shinoda, and H. Yamakawa. (Trans.), Springer Japan, 2007-2008
(This book is a Japanese translation of "Pattern Recognition and Machine Learning" by Christopher M. Bishop).
Workshop, meeting
- "Travel-Time Prediction using String Kernels"
Tsuyoshi Ide and Sei Kato,
Proceedings of the 23th Annual Conference of the Japanese Society for
Artificial Intelligence (JSAI 2009, Takamatsu, Jun 17-19, 2009) [ppt].
- "Sparse structure learning for correlation anomaly detection"
Tsuyoshi Ide,
Proceedings of the 9th Workshop on Data Mining and Statistical Mathematics
(DMSM2009, Kyoto, Japan, Mar. 3-4, 2009) [ppt].
- "Application of Sparse Structure Learning to Anomaly Detection"
Tsuyoshi Ide,
Presented at the 11th Workshop on Information-Based Induction Sciences
(IBIS2008, Sendai, Japan, Oct. 29-31, 2008) [ppt].
- "Concept Drift Extraction and Analysis by using a Difference Model of Decision Tree" (draft version)
Hirofumi Matsuzawa, Harunobu Kubo, Hisashi Kashima, Tsuyoshi Ide, and Shohei Hido, Proceedings of Web DB Forum 2008 (Tokyo, Japan, Dec. 1-2, 2008).
- "Semi-supervised local Fisher discriminant analysis for dimensionality reduction"
M. Sugiyama, T. Ide, S. Nakajima, and J. Sese
Proceedings of the 10th Workshop on Information-Based Induction Sciences
(IBIS2007, Yokohama, Japan, Nov 5-7, 2007), pp.1-6 [ppt].
- "Anomaly Detection with Neighborhood Preservation Principle"
Tsuyoshi Ide,
Proceedings of the 10th Workshop on Information-Based Induction Sciences
(IBIS2007, Yokohama, Japan, Nov 5-7, 2007), pp.212-217 [ppt].
- "Speeding up Change-Point Detection using Matrix Compression"
Tsuyoshi Ide,
Proceedings of the 9th Workshop on Information-Based Induction Sciences
(IBIS2006, Osaka, Japan, Oct. 31-Nov. 2, 2006), pp.124-129 [ppt].
- "Theoretical basis for subsequence time-series clustering,"[link]
Tsuyoshi Ide,
Proceedings of the 20th Annual Conference of the Japanese Society for Artificial
Intelligence (JSAI 2006, Tokyo, Jun 7-9, 2006), 2A1-02 [ppt, JSAI Annual Conference Award ].
- "On Group-Theoretical Generalization of Correlation Matrices,"
Tsuyoshi Ide,
Proceedings of the 8th Workshop on Information-Based Induction Sciences
(IBIS2005, Tokyo, Japan, Nov. 9 -11, 2005), ISBN 4-9902248-1-7, pp.123-128 [ppt].
- "Knowledge discovery from time-series data using nonlinear transformations,"
Tsuyoshi Ide and Keisuke Inoue,
Proceedings of the Fourth Data Mining Workshop (The Japan Society for Software
Science and Technology, Tokyo, 2004), ISSN 1341-870X, No.29, 2004, pp.1-8.
- "Eigenspace approach to anomaly detection in computer systems,"[link]
Tsuyoshi Ide and Hisashi Kashima,
Proceedings of the 18th Annual Conference of the Japanese Society for Artificial
Intelligence (JSAI 2004, Kanazawa, Japan, May 31-Jun 4, 2004), 3F3-05 [ppt, JSAI Annual Conference Award ].
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