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Takashi Washio: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Takashi Washio, Hiroshi Motoda
    Discovering Admissible Simultaneous Equations of Large Scale Systems. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1998, pp:189-196 [Conf]
  2. Warodom Geamsakul, Tetsuya Yoshida, Kouzou Ohara, Hiroshi Motoda, Takashi Washio, Hideto Yokoi, Katsuhiko Takabayashi
    Extracting Diagnostic Knowledge from Hepatitis Dataset by Decision Tree Graph-Based Induction. [Citation Graph (0, 0)][DBLP]
    Active Mining, 2003, pp:126-151 [Conf]
  3. Katsutoshi Yada, Yukinobu Hamuro, Naoki Katoh, Takashi Washio, Issey Fusamoto, Daisuke Fujishima, Takaya Ikeda
    Data Mining Oriented CRM Systems Based on MUSASHI: C-MUSASHI. [Citation Graph (0, 0)][DBLP]
    Active Mining, 2003, pp:152-173 [Conf]
  4. Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio
    Performance Evaluation of Decision Tree Graph-Based Induction. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2003, pp:128-140 [Conf]
  5. Hiroshi H. Hasegawa, Takashi Washio, Yukari Ishimiya
    ``Thermodynamics'' from Time Series Data Analysis. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 1999, pp:326-327 [Conf]
  6. Hiroshi H. Hasegawa, Takashi Washio, Yukari Ishimiya, Takeshi Saito
    Nonequilibrium Thermodynamics from Time Series Data Analysis. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2000, pp:304-305 [Conf]
  7. Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda
    Derivation of the Topology Structure from Massive Graph Data. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 1999, pp:330-332 [Conf]
  8. Takashi Matsuda, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio
    Graph-Based Induction for General Graph Structured Data and Its Application to Chemical Compound Data. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2000, pp:99-111 [Conf]
  9. Takashi Matsuda, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio, Kohei Kumazawa, Naohide Arai
    Graph-Based Induction for General Graph Structured Data. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 1999, pp:340-342 [Conf]
  10. Takashi Matsuda, Hiroshi Motoda, Tetsuya Yoshida, Takashi Washio
    Mining Patterns from Structured Data by Beam-Wise Graph-Based Induction. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2002, pp:422-429 [Conf]
  11. Takashi Washio, Fuminori Adachi, Hiroshi Motoda
    SCALETRACK: A System to Discover Dynamic Law Equations Containing Hidden States and Chaos. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2005, pp:253-266 [Conf]
  12. Takashi Washio, Hiroshi Motoda
    Development of SDS2: Smart Discovery System for Simultaneous Equation Systems. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 1998, pp:352-363 [Conf]
  13. Hiroshi H. Hasegawa, Takashi Washio, Yukari Ishimiya
    Inductive Thermodynamics from Time Series Data Analysis. [Citation Graph (0, 0)][DBLP]
    Progress in Discovery Science, 2002, pp:384-394 [Conf]
  14. Takashi Washio, Hiroshi Motoda
    Toward the Discovery of First Principle Based Scientific Law Equations. [Citation Graph (0, 0)][DBLP]
    Progress in Discovery Science, 2002, pp:553-564 [Conf]
  15. Masahiro Terabe, Takashi Washio, Osamu Katai, Tetsuo Sawaragi
    A Study of Organizational Learning in Multi-Agent Sytems. [Citation Graph (0, 0)][DBLP]
    ECAI Workshop LDAIS / ICMAS Workshop LIOME, 1996, pp:168-179 [Conf]
  16. Takashi Washio, Hiroshi Motoda, Yuji Niwa
    Discovering Admissible Simultaneous Equation Models from Observed Data. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:539-551 [Conf]
  17. Alexandre Termier, Marie-Christine Rousset, Michèle Sebag, Kouzou Ohara, Takashi Washio, Hiroshi Motoda
    Efficient Mining of High Branching Factor Attribute Trees. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:785-788 [Conf]
  18. Takashi Washio, Yuki Mitsunaga, Hiroshi Motoda
    Mining Quantitative Frequent Itemsets Using Adaptive Density-Based Subspace Clustering. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:793-796 [Conf]
  19. Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio
    Adaptive Ripple Down Rules Method based on Minimum Description Length Principle. [Citation Graph (0, 0)][DBLP]
    ICDM, 2002, pp:530-537 [Conf]
  20. Kenta Fukata, Takashi Washio, Hiroshi Motoda
    A Method to Search ARX Model Orders and Its Application to Sales Dynamics Analysis. [Citation Graph (0, 0)][DBLP]
    ICDM Workshops, 2006, pp:590-595 [Conf]
  21. Nguyen Viet Phuong, Takashi Washio
    Modeling Dynamic Substate Chains among Massive States for Prediction. [Citation Graph (0, 0)][DBLP]
    ICDM Workshops, 2006, pp:484-489 [Conf]
  22. Takashi Washio, Hiroshi Motoda, Yuji Niwa
    Enhancing the Plausibility of Law Equation Discovery. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:1127-1134 [Conf]
  23. Masahiro Terabe, Takashi Washio, Hiroshi Motoda
    S3Bagging: Fast Classifier Induction Method with Subsampling and Bagging. [Citation Graph (0, 0)][DBLP]
    IDA, 2001, pp:177-186 [Conf]
  24. Takashi Washio, Fuminori Adachi, Hiroshi Motoda
    Discovering Time Differential Law Equations Containing Hidden State Variables and Chaotic Dynamics. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:1642-1644 [Conf]
  25. Takashi Washio, Hiroshi Motoda
    Discovering Admissible Models of Complex Systems Based on Scale-Types and Idemtity Constraints. [Citation Graph (0, 0)][DBLP]
    IJCAI (2), 1997, pp:810-819 [Conf]
  26. Takashi Washio, Hiroshi Motoda, Niwa Yuji
    Discovering Admissible Model Equations from Observed Data Based on Scale-Types and Identity Constrains. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:772-779 [Conf]
  27. Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Atsushi Fujimoto, Hidemitsu Hanafusa
    Development of Generic Search Method Based on Transformation Invariance. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2003, pp:486-495 [Conf]
  28. Takayuki Ikeda, Takashi Washio, Hiroshi Motoda
    Basket Analysis on Meningitis Data. [Citation Graph (0, 0)][DBLP]
    JSAI Workshops, 2001, pp:516-524 [Conf]
  29. Takashi Washio
    JSAI KDD Challenge 2001: JKDD01. [Citation Graph (0, 0)][DBLP]
    JSAI Workshops, 2001, pp:499- [Conf]
  30. Takashi Washio, Koutarou Nakanishi, Hiroshi Motoda, Takashi Okada
    Mutagenicity Risk Analysis by Using Class Association Rules. [Citation Graph (0, 0)][DBLP]
    JSAI Workshops, 2005, pp:436-445 [Conf]
  31. Shusaku Tsumoto, Takashi Washio
    Risk Mining - Overview. [Citation Graph (0, 0)][DBLP]
    JSAI, 2006, pp:303-304 [Conf]
  32. Takashi Washio, Yasuo Shinnou, Katsutoshi Yada, Hiroshi Motoda, Takashi Okada
    Analysis on a Relation Between Enterprise Profit and Financial State by Using Data Mining Techniques. [Citation Graph (0, 0)][DBLP]
    JSAI, 2006, pp:305-316 [Conf]
  33. Kenichi Yoshida, Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Teruaki Homma, Akihiro Nakashima, Hiromitsu Fujikawa, Katsuyuki Yamazaki
    Density-based spam detector. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:486-493 [Conf]
  34. Katsutoshi Yada, Hiroshi Motoda, Takashi Washio, Asuka Miyawaki
    Consumer Behavior Analysis by Graph Mining Technique. [Citation Graph (0, 0)][DBLP]
    KES, 2004, pp:800-806 [Conf]
  35. Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio
    Classifier Construction by Graph-Based Induction for Graph-Structured Data. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2003, pp:52-62 [Conf]
  36. Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda, Kouhei Kumasawa, Naohide Arai
    Basket Analysis for Graph Structured Data. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:420-431 [Conf]
  37. Takashi Matsuda, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio
    Extension of Graph-Based Induction for General Graph Structured Data. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2000, pp:420-431 [Conf]
  38. Phu Chien Nguyen, Kouzou Ohara, Akira Mogi, Hiroshi Motoda, Takashi Washio
    Constructing Decision Trees for Graph-Structured Data by Chunkingless Graph-Based Induction. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2006, pp:390-399 [Conf]
  39. Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda, Takashi Washio
    Cl-GBI: A Novel Approach for Extracting Typical Patterns from Graph-Structured Data. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2005, pp:639-649 [Conf]
  40. Masahiro Terabe, Osamu Katai, Tetsuo Sawaragi, Takashi Washio, Hiroshi Motoda
    A Data Pre-processing Method Using Association Rules of Attributes for Improving Decision Tree. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:143-147 [Conf]
  41. Takuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio
    Characterization of Default Knowledge in Ripple Down Rules Method. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:284-295 [Conf]
  42. Takuya Wada, Hiroshi Motoda, Takashi Washio
    Knowledge Acquisition from Both Human Expert and Data. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2001, pp:550-561 [Conf]
  43. Takashi Washio, Hiroshi Motoda
    Mining Association Rules for Estimation and Prediction. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1998, pp:417-419 [Conf]
  44. Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda
    An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data. [Citation Graph (0, 0)][DBLP]
    PKDD, 2000, pp:13-23 [Conf]
  45. Phu Chien Nguyen, Takashi Washio, Kouzou Ohara, Hiroshi Motoda
    Using a Hash-Based Method for Apriori-Based Graph Mining. [Citation Graph (0, 0)][DBLP]
    PKDD, 2004, pp:349-361 [Conf]
  46. Takashi Washio, Koutarou Nakanishi, Hiroshi Motoda
    Deriving Class Association Rules Based on Levelwise Subspace Clustering. [Citation Graph (0, 0)][DBLP]
    PKDD, 2005, pp:692-700 [Conf]
  47. Keisei Fujiwara, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio
    Case Generation Method for Constructing an RDR Knowledge Base. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2002, pp:228-237 [Conf]
  48. Takashi Matsuda, Hiroshi Motoda, Tetsuya Yoshida, Takashi Washio
    Knowledge Discovery from Structured Data by Beam-Wise Graph-Based Induction. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2002, pp:255-264 [Conf]
  49. Takuya Wada, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio
    Extension of the RDR Method That Can Adapt to Environmental Changes and Acquire Knowledge from Both Experts and Data. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2002, pp:218-227 [Conf]
  50. Takashi Washio, Hiroshi Motoda
    A History-Oriented Envisioning Method. [Citation Graph (0, 0)][DBLP]
    PRICAI, 1996, pp:312-323 [Conf]
  51. Takashi Washio, Atsushi Fujimoto, Hiroshi Motoda
    A Framework of Numerical Basket Analysis. [Citation Graph (0, 0)][DBLP]
    SAINT Workshops, 2005, pp:340-343 [Conf]
  52. Kenichi Yoshida, Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Teruaki Homma, Akihiro Nakashima, Hiromitsu Fujikawa, Katsuyuki Yamazaki
    Memory Management of Density-Based Spam Detector. [Citation Graph (0, 0)][DBLP]
    SAINT, 2005, pp:370-376 [Conf]
  53. Makoto Tsukada, Takashi Washio, Hiroshi Motoda
    Automatic Web-Page Classification by Using Machine Learning Methods. [Citation Graph (0, 0)][DBLP]
    Web Intelligence, 2001, pp:303-313 [Conf]
  54. Kiyoto Takabayashi, Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda, Takashi Washio
    Extracting Discriminative Patterns from Graph Structured Data Using Constrained Search. [Citation Graph (0, 0)][DBLP]
    PKAW, 2006, pp:64-74 [Conf]
  55. Takashi Matsuda, Hiroshi Motoda, Takashi Washio
    Graph-based induction and its applications. [Citation Graph (0, 0)][DBLP]
    Advanced Engineering Informatics, 2002, v:16, n:2, pp:135-143 [Journal]
  56. Takashi Washio, M. Sakuma, M. Kitamura
    A New Approach to Quantitative and Credible Diagnosis for Multiple Faults of Components and Sensors. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1997, v:91, n:1, pp:103-130 [Journal]
  57. Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda
    A General Framework for Mining Frequent Subgraphs from Labeled Graphs. [Citation Graph (0, 0)][DBLP]
    Fundam. Inform., 2005, v:66, n:1-2, pp:53-82 [Journal]
  58. Takashi Washio, Luc De Raedt, Joost N. Kok
    Advances in Mining Graphs, Trees and Sequences. [Citation Graph (0, 0)][DBLP]
    Fundam. Inform., 2005, v:66, n:1-2, pp:- [Journal]
  59. Tetsuya Yoshida, Takuya Wada, Hiroshi Motoda, Takashi Washio
    Adaptive Ripple Down Rules method based on minimum description length principle. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2004, v:8, n:3, pp:239-265 [Journal]
  60. Takashi Washio, Hiroshi Motoda, Yuji Niwa
    Enhancing the plausibility of law equation discovery through cross check among multiple scale-type-based models. [Citation Graph (0, 0)][DBLP]
    J. Exp. Theor. Artif. Intell., 2005, v:17, n:1-2, pp:129-143 [Journal]
  61. Masahiro Terabe, Takashi Washio, Hiroshi Motoda, Osamu Katai, Tetsuo Sawaragi
    Attribute Generation Based on Association Rules. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2002, v:4, n:3, pp:329-349 [Journal]
  62. Takuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio
    A Description Length-Based Decision Criterion for Default Knowledge in the Ripple Down Rules Method. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2001, v:3, n:2, pp:146-167 [Journal]
  63. Takashi Washio, Hiroshi Motoda
    Discovery of first-principle equations based on scale-type-based and data-driven reasoning. [Citation Graph (0, 0)][DBLP]
    Knowl.-Based Syst., 1998, v:10, n:7, pp:403-411 [Journal]
  64. Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda
    Complete Mining of Frequent Patterns from Graphs: Mining Graph Data. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2003, v:50, n:3, pp:321-354 [Journal]
  65. Rolf Hempel, Robin Calkin, Reinhold Hess, Wolfgang Joppich, C. W. Oosterlee, Hubert Ritzdorf, Peter Wypior, Wolfgang Ziegler, Nubohiko Koike, Takashi Washio, Udo Keller
    Real Applications on the New Parallel System NEC Cenju-3. [Citation Graph (0, 0)][DBLP]
    Parallel Computing, 1996, v:22, n:1, pp:131-148 [Journal]
  66. Takashi Washio, Hiroshi Motoda
    State of the art of graph-based data mining. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2003, v:5, n:1, pp:59-68 [Journal]
  67. Toshiko Wakaki, Hiroyuki Itakura, Masaki Tamura, Hiroshi Motoda, Takashi Washio
    A study on rough set-aided feature selection for automatic web-page classification. [Citation Graph (0, 0)][DBLP]
    Web Intelligence and Agent Systems, 2006, v:4, n:4, pp:431-441 [Journal]
  68. Takashi Washio, Hiroshi Motoda
    Communicability Criteria of Law Equations Discovery. [Citation Graph (0, 0)][DBLP]
    Computational Discovery of Scientific Knowledge, 2007, pp:98-119 [Conf]
  69. Takashi Washio
    Applications eligible for data mining. [Citation Graph (0, 0)][DBLP]
    Advanced Engineering Informatics, 2007, v:21, n:3, pp:241-242 [Journal]

  70. Use of Prior Knowledge in a Non-Gaussian Method for Learning Linear Structural Equation Models. [Citation Graph (, )][DBLP]


  71. Discovery of Exogenous Variables in Data with More Variables Than Observations. [Citation Graph (, )][DBLP]


  72. Robust Unsupervised and Semisupervised Bounded C-Support Vector Machines. [Citation Graph (, )][DBLP]


  73. A Fast Method to Mine Frequent Subsequences from Graph Sequence Data. [Citation Graph (, )][DBLP]


  74. International Workshop on Risk Informatics (RI2007). [Citation Graph (, )][DBLP]


  75. A Bank Run Model in Financial Crises. [Citation Graph (, )][DBLP]


  76. Optimization of Budget Allocation for TV Advertising. [Citation Graph (, )][DBLP]


  77. GTRACE2: Improving Performance Using Labeled Union Graphs. [Citation Graph (, )][DBLP]


  78. A Range Query Approach for High Dimensional Euclidean Space Based on EDM Estimation. [Citation Graph (, )][DBLP]


  79. Mining Frequent Graph Sequence Patterns Induced by Vertices. [Citation Graph (, )][DBLP]


  80. Pruning Strategies Based on the Upper Bound of Information Gain for Discriminative Subgraph Mining. [Citation Graph (, )][DBLP]


  81. Development of Data Mining Platform MUSASHI Towards Service Computing. [Citation Graph (, )][DBLP]


  82. DIGDAG, a First Algorithm to Mine Closed Frequent Embedded Sub-DAGs. [Citation Graph (, )][DBLP]


  83. GroupLiNGAM: Linear non-Gaussian acyclic models for sets of variables [Citation Graph (, )][DBLP]


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