Data Analytics

Publications (since 2002)

International Conferences

• Masashi Sugiyama, Tsuyoshi Ide, Shinichi Nakajima and Jun Sese
  Semi-Supervised Local Fisher Discriminant Analysis for Dimensionality Reduction,
  in Proc. 2008 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2008), Osaka, Japan, May, 2008, to appear.
  
  
• Shohei Hido, Tsuyoshi Ide, Hisashi Kashima, Harunobu Kubo and Hirofumi Matsuzawa
  Unsupervised Change Analysis using Supervised Learning,
  in Proc. 2008 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2008), Osaka, Japan, May, 2008, to appear.
  
  
• Shohei Hido and Hisashi Kashima
  Roughly Balanced Bagging for Imbalanced Data,
  in Proc. 2008 SIAM Conference on Data Mining (SDM2008), Atlanta, Georgia, USA, April, 2008, to appear.
  
  
• Tsuyoshi Kato, Hisashi Kashima and Masashi Sugiyama
  Integration of Multiple Networks for Robust Label Propagation,
  in Proc. 2008 SIAM Conference on Data Mining (SDM2008), Atlanta, Georgia, USA, April, 2008, to appear.
  
  
• Yuta Tsuboi, Shohei Hido, Hisashi Kashima, Steffen Bickel and Masashi Sugiyama
  Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation,
  in Proc. 2008 SIAM Conference on Data Mining (SDM2008), Atlanta, Georgia, USA, April, 2008, to appear.
  
  
• Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashima, Paul von Bunau and Motoaki Kawanabe
  Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation,
  in Proc. 21st Annual Conference on Neural Information Processing Systems (NIPS2007), Vancouver, Canada, December, 2007.
  
  
• Tsuyoshi Kato, Hisashi Kashima and Masashi Sugiyama
  Multi-Task Learning via Conic Programming,
  in Proc. 21st Annual Conference on Neural Information Processing Systems (NIPS2007), Vancouver, Canada, December, 2007.
  
  
• Tsuyoshi Ide, Spiros Papadimitriou and Michail Vlachos
  Computing Correlation Anomaly Scores using Stochastic Nearest Neighbors,
  in Proc. 7th IEEE International Conference on Data Mining (ICDM2007), Omaha, Nebraska, USA, October, 2007, pp.523-528 [pdf].
  
  
• Hisashi Kashima and Kazutaka Yamasaki
  Regression with Intervals,
  in Proc. International Workshop on Data Mining and Statistical Science (DMSS2007), Tokyo, Japan, October, 2007, pp.209-217.
  
  
• Rikiya Takahashi
  Separating Precision and Mean in Dirichlet-enhanced High-order Marknov Models,
  in Proc. 18th European Conference on Machine Learning (ECML2007), Warsaw, Poland, September, 2007, pp.382-393.
  
  
• Tsuyoshi Ide and Koji Tsuda
  Change-point detection using Krylov subspace learning,
  Proceedings of 2007 SIAM International Conference on Data Mining (SDM2007), Minneapolis, Minnesota, USA, April, 2007, pp.515-520 [pdf].
  
  
• Tsuyoshi Ide
  Translational symmetry in subsequence time-series clustering,
  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 [link].
  
  
• Tsuyoshi Ide,
  Why does Subsequence Time-Series Clustering Produce Sine Waves?
  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 [link].
  
  
• Tetsuji Kuboyama, Kouichi Hirata, Kiyoko F. Aoki-Kinoshita, Hisashi Kashima and Hiroshi Yasuda
  A Gram Distribution Kernel Applied to Glycan Classification and Motif Extraction,
  In Proc. 17th International Conference on Genome Informatics (GIW2006), Yokohama, Japan, 2006.
  
  
• Hisashi Kashima and Naoki Abe
  A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction,
  in Proc. 6th IEEE International Conference on Data Mining (ICDM2006), Hong Kong, 2006.
  
  
• Tetsuji Kuboyama, Hisashi Kashima, Kiyoko F. Aoki-Kinoshita, Koichi Hirata and Hiroshi Yasuda
  A Spectrum Tree Kernel,
  in Proc. The International Workshop on Data-Mining and Statistical Science (DMSS2006), Sapporo, Japan, 2006.
  
  
• Tetsuji Kuboyama, Kilho Shin and Hisashi Kashima
  Flexible Tree Kernels Based on Counting the Number of Tree Mappings,
  in Proc. Workshop on Mining and Learning (held with ECML/PKDD 2006), Berlin, Germany, 2006.
  
  
• Hisashi Kashima
  Risk-Sensitive Learning via Expected Shortfall Minimization,
  in Proc. 2006 SIAM International Conference on Data Mining (SDM 06), Bethesda, MD, USA, April 20-22, 2006.
  
  
• Toshihiro Takahashi and Hideyuki Mizuta
  Efficient Agent-Based Simulation Framework for Multi-Node Supercomputers,
  in Proc. Winter Simulation Conference 2006, pp.919-925.
  
  
• Tsuyoshi Ide
  Pairwise Symmetry Decomposition Method for Generalized Covariance Analysis,
  in Proc. of the fifth IEEE International Conference in Data Mining (ICDM 05), Houston, Texas, USA, Nov 20-27, 2005, pp. 657-660 [pdf].
  
  
• T. Ide and K. Inoue
  Knowledge Discovery from Heterogeneous Dynamic Systems using Change-Point Correlations,
  in Proc. 2005 SIAM International Conference on Data Mining (SDM 05), Newport Beach, CA, USA, April 21-23, 2005, pp. 571-576 [pdf].
  
  
• H. Kashima, T. Tsumura, T. Ide, T. Nogayama, R. Hirade, H. Etoh and T. Fukuda
  Network-Based Problem Detection for Distributed Systems,
  in Proc. 21st International Conference on Data Engineering (ICDE2005), Tokyo, Japan, 2005, pp.978-979 [pdf].
  
  
• T. Ide and H. Kashima
  Effective Dimension in Anomaly Detection: Its Application to Computer Systems,
  Lecture Notes in Computer Science, Vol. 3609, Springer, 2005, pp.189-204 [link].
  
  
• T. Ide and H. Kashima
  Eigenspace-based Anomaly Detection in Computer Systems,
  in Proc. 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2004), Seattle, WA, USA, 2004, pp.440-449 [pdf].
  
  
• H. Kashima and Y. Tsuboi
  Kernel-Based Discriminative Learning Algorithms for Labeling Sequences, Trees and Graphs,
  in Proc. 21st International Conference on Machine Learning (ICML2004), Banff, Alberta, Canada, 2004.
  
  
• A. Inokuchi and H. Kashima
  Mining Significant Pairs of Patterns from Graph Structures with Class Labels,
  in Proc. 3rd IEEE International Conference on Data Mining (ICDM2003), Melbourne, Florida, USA, 2003.
  
  
• H. Kashima , K. Tsuda and A. Inokuchi
  Marginalized Kernels Between Labeled Graphs,
  in Proc. 20th International Conference on Machine Learning (ICML2003), Washington, DC USA, 2003.
  
  
• H. Kashima and A. Inokuchi
  Kernels for Graph Classification,
  in Proc. 1st ICDM Workshop on Active Mining (AM-2002), Maebashi, Japan, 2002.
  
  
• H. Kashima and T. Koyanagi
  Kernels for Semi-Structured Data,
  in Proc. 19th International Conference on Machine Learning (ICML2002), Sydney, Australia, 2002.
  
  
• T. Ide, H. Humata, H. Mizuta, Y. Taira, M. Suzuki, M. Noguchi, and Y. Katsu
  Moire-Free Collimating Light Guide with Low-Discrepancy Dot Patterns,
  in Digest of Technical Papers, Society for Information Display 2002 (SID 2002), Boston, MA, USA, 2002, pp. 1232-1235.
  
  

Journals

• Hisashi Kashima, Shoko Suzuki, Shohei Hido, Yuta Tsuboi, Toshihiro Takahashi, Tsuyoshi Ide, Rikiya Takahashi and Akira Tajima
  Task1 Winner's Solution & Task2 Runner-up's Solution in Estimating Location Using Wi-Fi,
  IEEE Intelligent Systems Magazine, Vol.23, No.1, pp.8-13, January/February, 2008.
  
  
• Hisashi Kashima
  Risk-sensitive Learning via Minimization of Empirical Conditional Value-at-risk,
  IEICE Transaction on Information and Systems, Vol. E90-D, No. 12, pp. 2043-2052, 2007.
  
  
• Shohei Hido and Hiroyuki Kawano
  A Fast Algorithm for Mining Frequent Ordered Subtrees,
  Systems and Computers in Japan, Vol.38, No.7, pp.34-43, 2007.
  
  
• Tetsuji Kuboyama, Hisashi Kashima, Kiyoko F. Aoki-Kinoshita, Kouichi Hirata, Hiroshi Yasuda
  A Spectrum Tree Kernel,
  Journal of Japanese Society of Artificial Intelligence, Vol.22, No.2, 2007.
  
  
• Hisashi Kashima, Naoki Abe
  A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction,
  Journal of Japanese Society of Artificial Intelligence, Vol. 22, No. 2, 2007. [in Japanese]
  
  
• Hisashi Kashima, Tadashi Tsumura, Tsuyoshi Ide, Takahide Nogayama, Ryo Hirade, Hiroaki Etoh, and Takeshi Fukuda,
  Network-Based Problem Detection for Distributed Systems
  The IEICE Transactions on Information and Systems (Japanese Edition), Vol. J89-D, No.2, pp.183-198, 2006.
  
  
• Hisashi Kashima, Hiroshi Sakamoto and Teruo Koyanagi
  Design and Analysis of Convolution Kernels for Tree-Structured Data,
  Journal of Japanese Society of Artificial Intelligence, Vol. 21, No. 1, 2006. [in Japanese] [JSAI Best Paper Award]
  
  
• Tetsuo Shibuya, Hisashi Kashima, and Akihiko Konagaya:
  Efficient Filtering Methods for Clustering cDNAs with Spliced Sequence Alignment,
  Bioinformatics, Vol.20, No.1 (2004) 29-39.
  
  
• T. Ide, H. Mizuta, H. Humata, Y. Taira, M. Suzuki, M. Noguchi, and Y. Katsu:
  Dot pattern generation technique using molecular dynamics,
  Journal of the Optical Society of America, A, 20 (2003) 242-255.
  
  
• T. Ide, H. Humata, Y. Taira, H. Mizuta, M. Suzuki, M. Noguchi, and Y. Katsu
  A novel dot-pattern generation to improve luminance uniformity of an LCD backlight,
  Journal of the Society for Information Display, Vol.11, No.4 (2003) 659-665.
  
  

Invited talks

• Tsuyoshi Ide
  Applying Machine Learning Techniques to Sensor Data Analysis,
  Kick-off Symposium for Global COE `CompView' Project, Tokyo Institute of Technology, December, 2007 [in Japanese].
  
  
• Hisashi Kashima
  Machine Learning for Predicting Biological Networks,
  Japanese Society for Bioinformatics 2007 Summer School, August, 2007 [in Japanese].
  
  
• Hisashi Kashima
  Methods for Predicting Network Structures,
  The International Workshop on Data-Mining and Statistical Science (DMSS2006), Sapporo, Japan, Sep. 2006.
  
  
• Hisashi Kashima
  Methods for Analyzing Network Structures,
  The 63rd Workshop of Japanese Society of Artificial Intelligence, SIG-FPAI, Kyushu, Japan, Sep. 2006.
  
  
• Hisashi Kashima, Yuta Tsuboi, Taku Kudo
  Recent progress in discriminative models for natural language processing - from HMM to CRF -,
  The 12nd Annual Meeting of Japanese Association for Natural Language Processing (NLP2006), Tokyo, Japan, Mar. 2006. [in Japanese]
  
  
• Hisashi Kashima
  Kernel Methods for Mining Structured Data,
  PRMU workshop, Pattern Recognition and Media Understanding Society, The Institute of Electronics, Information and Communication Engineers, Feb. 26, 2005, Tokyo [in Japanese]
  
  
• Tsuyoshi Ide and Hisashi Kashima
  Feature Extraction and Anomaly Detection in Web-based Computer Systems,
  in Proc. the Seventh Workshop on Information-Based Induction Sciences (IBIS2004), Tokyo, Japan, November 8 -10, 2004, pp.7-14, ISBN4-9902248-0-9 [in Japanese, pdf].
  
  
• Hisashi Kashima
  Designing kernel functions for structured data,
  Lecture series on bioinformatics, AIST CBRC, 2003/1/8
  

Book Chapters and Review Articles

• Hiroshi Motoda, Takio Kurita, Tomoyuki Higuchi, Yuji Matsumoto and Noboru Murata (Eds.), Shotaro Akaho, Toshihiro Kamishima, Masashi Sugiyama, Takashi Onoda, Kazushi Ikeda, Hisashi Kashima, Hideto Kazawa, Shinichi Nakajima, Junichi Takeuchi, Daichi Mochihashi, Satoshi Oyama, Tsuyoshi Ide, Kohichi Shinoda, and Hiroshi Yamakawa (Trans.)
  Pattern Recognition and Machine Learning [Japanese Translation],
  Springer Japan, 2008 [in Japanese, link].
  
  
• Hisashi Kashima
  Survey of Network Structure Prediction Methods,
  JSAI Magazine, Vol.22, No.3, 2007 [in Japanese]
  
• Hisashi Kashima
  Data Mining Approaches for Structured Data and Applications to Bioinformatics,
  Software Biology, Vol. 5, 2006 [in Japanese]
  
  
• Hisashi Kashima
  Kernel Methods for Mining Structured Data,
  IPSJ Magazine, Information Processing Society of Japan, Vol. 46, No.1, 2005 [in Japanese].
  
  
• H. Kashima , K. Tsuda and A. Inokuchi
  Kernels for Graphs, Kernel Methods in Computational Biology,
  MIT Press, 2004.
  
  
• Tsuyoshi Ide and Yoichi Taira
  Dot pattern generation techniques for optical systems,
  Monthly Display, Techno Times, Vol.9, No.1 (2003) [in Japanese].
  
  

Others

• Masashi Sugiyama, Tsuyoshi Ide, Shinichi Nakajima and Jun Sese
  Semi-Supervised Local Fisher Discriminant Analysis for Dimensionality Reduction,
  The 10th Workshop on Information-Based Induction Science (IBIS2007), Tokyo, Japan, November, 2007 [pdf].
  
  
• Tsuyoshi Ide
  Anomaly Detection with Neighborhood Preservation Principle,
  The 10th Workshop on Information-Based Induction Science (IBIS2007), Tokyo, Japan, November, 2007 [in Japanese, pdf].
  
  
• Shohei Hido, Yuta Tsuboi, Hisashi Kashima and Masashi Sugiyama
  Statistical Novelty Detection Using Density Ratio Estimation,
  The 10th Workshop on Information-Based Induction Science (IBIS2007), Tokyo, Japan, November, 2007 [in Japanese].
  
  
• Tsuyoshi Kato, Hisashi Kashima and Masashi Sugiyama
  Probabilistic Label Propagation on Multiple Networks,
  The 10th Workshop on Information-Based Induction Science (IBIS2007), Tokyo, Japan, November, 2007 [in Japanese].
  
  
• Yuta Tsuboi and Hisashi Kashima
  Training Conditional Random Fields Using Partial and Ambiguous Structured Labels,
  The 10th Workshop on Information-Based Induction Science (IBIS2007), Tokyo, Japan, November, 2007 [in Japanese].
  
  
• Tsuyoshi Ide,
  Speeding up Change-Point Detection using Matrix Compression
  Proceedings of the 9th Workshop on Information-Based Induction Sciences (IBIS2006, Osaka, Japan), Oct. 31-Nov. 2, 2006, pp.124-129 [in Japanese, pdf].
  
  
• Tsuyoshi Ide,
  Theoretical basis for subsequence time-series clustering
  Proceedings of the 20th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2006, Tokyo, 2006), 2A1-02 [JSAI Annual Conference Award]
  
  
• Tetsuji Kuboyama, Koichi Hirata, Hisashi Kashima and Kiyoko F. Aoki-Kinoshita
  The Gram Distribution Kernel: A Tree Kernel for Glycan Classification,
  in Technical Report of Japanese Society of Artificial Intelligence, SIG-FPAI, 2006.
  
  
• Tetsuji Kuboyama, Kilho Shin, Hisashi Kashima, and Koichi Hirata
  Kernel Design for Semistructured Data based on Counting Common Subtree Patterns,
  in Proc. 17th Workshop on Proceedings of Data Engineering Workshop (DEWS2006), 2006
  
  
• Tsuyoshi Ide
  On group-theoretical generalization of covariance matrices,
  in Proc the Eighth Workshop on Information-Based Induction Sciences (IBIS2005), Tokyo, Japan, November 9 -11, 2005, pp.123-128, ISBN4-9902248-1-7 [in Japanese].
  
  
• Hisashi Kashima
  Risk-Sensitive Classification Learning,
  in Proc the Eighth Workshop on Information-Based Induction Sciences (IBIS2005), Tokyo, Japan, November 9 -11, 2005, pp.171-176, ISBN4-9902248-1-7 [in Japanese, pdf].
  
  
• Hisashi Kashima and Yuta Tsuboi
  Design of Discriminative Models for Labeling Structured Data,
  in Proc the Eighth Workshop on Information-Based Induction Sciences (IBIS2005), Tokyo, Japan, November 9 -11, 2005, pp.15-20, ISBN4-9902248-1-7 [in Japanese].
  
  
• Tsuyoshi Ide and Keisuke Inoue
  Knowledge discovery from time-series data using nonlinear transformations,
  in Proc. the Fourth Data Mining Workshop (The Japan Society for Software Science and Technology, Tokyo, 2004), ISSN 1341-870X, No.29, 2004, pp.1-8 [in Japanese].
  
  
• Keisuke Inoue and Tsuyoshi Ide
  Failure Analysis of Dynamic Systems based on Change-Point Correlation,
  Kenkyu Houkoku 2004-MPS-051, Vol. 2004, No. 92 [in Japanese].
  
  
• Tsuyoshi Ide and Hisashi Kashima
  Eigenspace Approach to Anomaly Detection in Computer Systems,
  in Proc. the 18th Annual Conference of the Japanese Society for Artificial Intelligence (The Japanese Society for Artificial Intelligence, Kanazawa, 2004), 3F3-05 [JSAI Annual Conference Award, in Japanese].
  
  
• Hisashi Kashima and Yuta Tsuboi
  Kernel-based Discriminative Learning Algorithms for Labeling Sequences, Trees and Graphs,
  in Technical Report of The Institute for Electronics, Information and Communication Engineers, AI, 2004 [in Japanese].
  
  
• Akihiro Inokuchi and Hisashi Kashima
  Discovering Significant Pairs of Patterns from Graph Structures with Class Labels,
  in Technical Report of Japanese Society of Artificial Intelligence, SIG-KBS, 2004 [SIG Research Award (Special Interest Group on Knowledge-based Systems). in Japanese].
  
  
• Hisashi Kashima and Teruo Koyanagi
  Kernels for Semi-Structured Data,
  in Technical Report of Japanese Society of Artificial Intelligence, SIG-FAI-A104, 2002 [in Japanese].