| 2009 | ||
|---|---|---|
| 87 | Sanjay Chawla, Takashi Washio, Shin-ichi Minato, Shusaku Tsumoto, Takashi Onoda, Seiji Yamada, Akihiro Inokuchi: New Frontiers in Applied Data Mining, PAKDD 2008 International Workshops, Osaka, Japan, May 20-23, 2008. Revised Selected Papers Springer 2009 | |
| 86 | Kohei Ichikawa, Katsutoshi Yada, Namiko Nakachi, Takashi Washio: Optimization of Budget Allocation for TV Advertising. KES (2) 2009: 270-277 | |
| 2008 | ||
| 85 | Takashi Washio, Einoshin Suzuki, Kai Ming Ting, Akihiro Inokuchi: Advances in Knowledge Discovery and Data Mining, 12th Pacific-Asia Conference, PAKDD 2008, Osaka, Japan, May 20-23, 2008 Proceedings Springer 2008 | |
| 84 | Akihiro Inokuchi, Takashi Washio: A Fast Method to Mine Frequent Subsequences from Graph Sequence Data. ICDM 2008: 303-312 | |
| 83 | Katsutoshi Yada, Takashi Washio, Yasuharu Ukai, Hisao Nagaoka: A Bank Run Model in Financial Crises. KES (2) 2008: 703-710 | |
| 82 | Kouzou Ohara, Masahiro Hara, Kiyoto Takabayashi, Hiroshi Motoda, Takashi Washio: Pruning Strategies Based on the Upper Bound of Information Gain for Discriminative Subgraph Mining. PKAW 2008: 50-60 | |
| 81 | Kentarou Kido, Hiroshi Kuwajima, Takashi Washio: A Range Query Approach for High Dimensional Euclidean Space Based on EDM Estimation. SDM 2008: 387-398 | |
| 80 | Alexandre Termier, Marie-Christine Rousset, Michèle Sebag, Kouzou Ohara, Takashi Washio, Hiroshi Motoda: DryadeParent, An Efficient and Robust Closed Attribute Tree Mining Algorithm. IEEE Trans. Knowl. Data Eng. 20(3): 300-320 (2008) | |
| 79 | Viet Phuong Nguyen, Takashi Washio: Modeling dynamic substate chains among massive states. Intell. Data Anal. 12(3): 271-291 (2008) | |
| 2007 | ||
| 78 | Takashi Washio, Ken Satoh, Hideaki Takeda, Akihiro Inokuchi: New Frontiers in Artificial Intelligence, JSAI 2006 Conference and Workshops, Tokyo, Japan, June 5-9 2006, Revised Selected Papers Springer 2007 | |
| 77 | Takashi Washio, Zhi-Hua Zhou, Joshua Zhexue Huang, Xiaohua Hu, Jinyan Li, Chao Xie, Jieyue He, Deqing Zou, Kuan-Ching Li, Mário M. Freire: Emerging Technologies in Knowledge Discovery and Data Mining, PAKDD 2007, International Workshops, Nanjing, China, May 22-25, 2007, Revised Selected Papers Springer 2007 | |
| 76 | Takashi Washio, Hiroshi Motoda: Communicability Criteria of Law Equations Discovery. Computational Discovery of Scientific Knowledge 2007: 98-119 | |
| 75 | Zhao Kun, Tian Ying-jie, Deng Nai-yang, Hiroshi Kuwajima, Takashi Washio: Robust Unsupervised and Semisupervised Bounded C-Support Vector Machines. ICDM Workshops 2007: 331-336 | |
| 74 | Takashi Washio, Shusaku Tsumoto: International Workshop on Risk Informatics (RI2007). JSAI 2007: 245-246 | |
| 73 | Alexandre Termier, Yoshinori Tamada, Kazuyuki Numata, Seiya Imoto, Takashi Washio, Tomoyuki Higuchi: DIGDAG, a First Algorithm to Mine Closed Frequent Embedded Sub-DAGs. MLG 2007 | |
| 72 | Takashi Washio: Applications eligible for data mining. Advanced Engineering Informatics 21(3): 241-242 (2007) | |
| 71 | Takashi Washio, Koutarou Nakanishi, Hiroshi Motoda: A Classification Method Based on Subspace Clustering and Association Rules. New Generation Comput. 25(3): 235-245 (2007) | |
| 2006 | ||
| 70 | Takashi Washio, Akito Sakurai, Katsuto Nakajima, Hideaki Takeda, Satoshi Tojo, Makoto Yokoo: New Frontiers in Artificial Intelligence, Joint JSAI 2005 Workshop Post-Proceedings Springer 2006 | |
| 69 | Viet Phuong Nguyen, Takashi Washio: Modeling Dynamic Substate Chains among Massive States for Prediction. ICDM Workshops 2006: 484-489 | |
| 68 | Kenta Fukata, Takashi Washio, Hiroshi Motoda: A Method to Search ARX Model Orders and Its Application to Sales Dynamics Analysis. ICDM Workshops 2006: 590-595 | |
| 67 | Shusaku Tsumoto, Takashi Washio: Risk Mining - Overview. JSAI 2006: 303-304 | |
| 66 | 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. JSAI 2006: 305-316 | |
| 65 | Phu Chien Nguyen, Kouzou Ohara, Akira Mogi, Hiroshi Motoda, Takashi Washio: Constructing Decision Trees for Graph-Structured Data by Chunkingless Graph-Based Induction. PAKDD 2006: 390-399 | |
| 64 | Kiyoto Takabayashi, Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda, Takashi Washio: Extracting Discriminative Patterns from Graph Structured Data Using Constrained Search. PKAW 2006: 64-74 | |
| 63 | Toshiko Wakaki, Hiroyuki Itakura, Masaki Tamura, Hiroshi Motoda, Takashi Washio: A study on rough set-aided feature selection for automatic web-page classification. Web Intelligence and Agent Systems 4(4): 431-441 (2006) | |
| 2005 | ||
| 62 | Takashi Washio, Fuminori Adachi, Hiroshi Motoda: SCALETRACK: A System to Discover Dynamic Law Equations Containing Hidden States and Chaos. Discovery Science 2005: 253-266 | |
| 61 | Alexandre Termier, Marie-Christine Rousset, Michèle Sebag, Kouzou Ohara, Takashi Washio, Hiroshi Motoda: Efficient Mining of High Branching Factor Attribute Trees. ICDM 2005: 785-788 | |
| 60 | Takashi Washio, Yuki Mitsunaga, Hiroshi Motoda: Mining Quantitative Frequent Itemsets Using Adaptive Density-Based Subspace Clustering. ICDM 2005: 793-796 | |
| 59 | Takashi Washio, Fuminori Adachi, Hiroshi Motoda: Discovering Time Differential Law Equations Containing Hidden State Variables and Chaotic Dynamics. IJCAI 2005: 1642-1644 | |
| 58 | Takashi Washio, Koutarou Nakanishi, Hiroshi Motoda, Takashi Okada: Mutagenicity Risk Analysis by Using Class Association Rules. JSAI Workshops 2005: 436-445 | |
| 57 | Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda, Takashi Washio: Cl-GBI: A Novel Approach for Extracting Typical Patterns from Graph-Structured Data. PAKDD 2005: 639-649 | |
| 56 | Takashi Washio, Koutarou Nakanishi, Hiroshi Motoda: Deriving Class Association Rules Based on Levelwise Subspace Clustering. PKDD 2005: 692-700 | |
| 55 | Kenichi Yoshida, Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Teruaki Homma, Akihiro Nakashima, Hiromitsu Fujikawa, Katsuyuki Yamazaki: Memory Management of Density-Based Spam Detector. SAINT 2005: 370-376 | |
| 54 | Takashi Washio, Atsushi Fujimoto, Hiroshi Motoda: A Framework of Numerical Basket Analysis. SAINT Workshops 2005: 340-343 | |
| 53 | Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda: A General Framework for Mining Frequent Subgraphs from Labeled Graphs. Fundam. Inform. 66(1-2): 53-82 (2005) | |
| 52 | Takashi Washio, Luc De Raedt, Joost N. Kok: Advances in Mining Graphs, Trees and Sequences. Fundam. Inform. 66(1-2): (2005) | |
| 51 | Takashi Washio, Hiroshi Motoda, Yuji Niwa: Enhancing the plausibility of law equation discovery through cross check among multiple scale-type-based models. J. Exp. Theor. Artif. Intell. 17(1-2): 129-143 (2005) | |
| 50 | Fuminori Adachi, Takashi Washio, Atsushi Fujimoto, Hiroshi Motoda, Hidemitsu Hanafusa: Multi-structure Information Retrieval Method Based on Transformation Invariance. New Generation Comput. 23(4): (2005) | |
| 2004 | ||
| 49 | Kenichi Yoshida, Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Teruaki Homma, Akihiro Nakashima, Hiromitsu Fujikawa, Katsuyuki Yamazaki: Density-based spam detector. KDD 2004: 486-493 | |
| 48 | Katsutoshi Yada, Hiroshi Motoda, Takashi Washio, Asuka Miyawaki: Consumer Behavior Analysis by Graph Mining Technique. KES 2004: 800-806 | |
| 47 | Phu Chien Nguyen, Takashi Washio, Kouzou Ohara, Hiroshi Motoda: Using a Hash-Based Method for Apriori-Based Graph Mining. PKDD 2004: 349-361 | |
| 46 | Tetsuya Yoshida, Takuya Wada, Hiroshi Motoda, Takashi Washio: Adaptive Ripple Down Rules method based on minimum description length principle. Intell. Data Anal. 8(3): 239-265 (2004) | |
| 2003 | ||
| 45 | 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. Active Mining 2003: 126-151 | |
| 44 | Katsutoshi Yada, Yukinobu Hamuro, Naoki Katoh, Takashi Washio, Issey Fusamoto, Daisuke Fujishima, Takaya Ikeda: Data Mining Oriented CRM Systems Based on MUSASHI: C-MUSASHI. Active Mining 2003: 152-173 | |
| 43 | Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio: Performance Evaluation of Decision Tree Graph-Based Induction. Discovery Science 2003: 128-140 | |
| 42 | Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Atsushi Fujimoto, Hidemitsu Hanafusa: Development of Generic Search Method Based on Transformation Invariance. ISMIS 2003: 486-495 | |
| 41 | Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio: Classifier Construction by Graph-Based Induction for Graph-Structured Data. PAKDD 2003: 52-62 | |
| 40 | Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda: Complete Mining of Frequent Patterns from Graphs: Mining Graph Data. Machine Learning 50(3): 321-354 (2003) | |
| 39 | Takashi Washio, Hiroshi Motoda: State of the art of graph-based data mining. SIGKDD Explorations 5(1): 59-68 (2003) | |
| 2002 | ||
| 38 | Takashi Matsuda, Hiroshi Motoda, Tetsuya Yoshida, Takashi Washio: Mining Patterns from Structured Data by Beam-Wise Graph-Based Induction. Discovery Science 2002: 422-429 | |
| 37 | Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio: Adaptive Ripple Down Rules Method based on Minimum Description Length Principle. ICDM 2002: 530-537 | |
| 36 | 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. PRICAI 2002: 218-227 | |
| 35 | Keisei Fujiwara, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio: Case Generation Method for Constructing an RDR Knowledge Base. PRICAI 2002: 228-237 | |
| 34 | Takashi Matsuda, Hiroshi Motoda, Tetsuya Yoshida, Takashi Washio: Knowledge Discovery from Structured Data by Beam-Wise Graph-Based Induction. PRICAI 2002: 255-264 | |
| 33 | Hiroshi H. Hasegawa, Takashi Washio, Yukari Ishimiya: Inductive Thermodynamics from Time Series Data Analysis. Progress in Discovery Science 2002: 384-394 | |
| 32 | Takashi Washio, Hiroshi Motoda: Toward the Discovery of First Principle Based Scientific Law Equations. Progress in Discovery Science 2002: 553-564 | |
| 31 | Takashi Matsuda, Hiroshi Motoda, Takashi Washio: Graph-based induction and its applications. Advanced Engineering Informatics 16(2): 135-143 (2002) | |
| 30 | Masahiro Terabe, Takashi Washio, Hiroshi Motoda, Osamu Katai, Tetsuo Sawaragi: Attribute Generation Based on Association Rules. Knowl. Inf. Syst. 4(3): 329-349 (2002) | |
| 2001 | ||
| 29 | Takao Terano, Toyoaki Nishida, Akira Namatame, Shusaku Tsumoto, Yukio Ohsawa, Takashi Washio: New Frontiers in Artificial Intelligence, Joint JSAI 2001 Workshop Post-Proceedings Springer 2001 | |
| 28 | Takashi Washio, Hiroshi Motoda, Yuji Niwa: Discovering Admissible Simultaneous Equation Models from Observed Data. ECML 2001: 539-551 | |
| 27 | Masahiro Terabe, Takashi Washio, Hiroshi Motoda: S3Bagging: Fast Classifier Induction Method with Subsampling and Bagging. IDA 2001: 177-186 | |
| 26 | Takashi Washio: JSAI KDD Challenge 2001: JKDD01. JSAI Workshops 2001: 499 | |
| 25 | Takayuki Ikeda, Takashi Washio, Hiroshi Motoda: Basket Analysis on Meningitis Data. JSAI Workshops 2001: 516-524 | |
| 24 | Takuya Wada, Hiroshi Motoda, Takashi Washio: Knowledge Acquisition from Both Human Expert and Data. PAKDD 2001: 550-561 | |
| 23 | Makoto Tsukada, Takashi Washio, Hiroshi Motoda: Automatic Web-Page Classification by Using Machine Learning Methods. Web Intelligence 2001: 303-313 | |
| 22 | Takuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio: A Description Length-Based Decision Criterion for Default Knowledge in the Ripple Down Rules Method. Knowl. Inf. Syst. 3(2): 146-167 (2001) | |
| 2000 | ||
| 21 | Hiroshi H. Hasegawa, Takashi Washio, Yukari Ishimiya, Takeshi Saito: Nonequilibrium Thermodynamics from Time Series Data Analysis. Discovery Science 2000: 304-305 | |
| 20 | Takashi Matsuda, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio: Graph-Based Induction for General Graph Structured Data and Its Application to Chemical Compound Data. Discovery Science 2000: 99-111 | |
| 19 | Takashi Washio, Hiroshi Motoda, Yuji Niwa: Enhancing the Plausibility of Law Equation Discovery. ICML 2000: 1127-1134 | |
| 18 | Takashi Matsuda, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio: Extension of Graph-Based Induction for General Graph Structured Data. PAKDD 2000: 420-431 | |
| 17 | Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda: An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data. PKDD 2000: 13-23 | |
| 1999 | ||
| 16 | Hiroshi H. Hasegawa, Takashi Washio, Yukari Ishimiya: ``Thermodynamics'' from Time Series Data Analysis. Discovery Science 1999: 326-327 | |
| 15 | Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda: Derivation of the Topology Structure from Massive Graph Data. Discovery Science 1999: 330-332 | |
| 14 | Takashi Matsuda, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio, Kohei Kumazawa, Naohide Arai: Graph-Based Induction for General Graph Structured Data. Discovery Science 1999: 340-342 | |
| 13 | Takashi Washio, Hiroshi Motoda, Niwa Yuji: Discovering Admissible Model Equations from Observed Data Based on Scale-Types and Identity Constrains. IJCAI 1999: 772-779 | |
| 12 | Masahiro Terabe, Osamu Katai, Tetsuo Sawaragi, Takashi Washio, Hiroshi Motoda: A Data Pre-processing Method Using Association Rules of Attributes for Improving Decision Tree. PAKDD 1999: 143-147 | |
| 11 | Takuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio: Characterization of Default Knowledge in Ripple Down Rules Method. PAKDD 1999: 284-295 | |
| 10 | Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda, Kouhei Kumasawa, Naohide Arai: Basket Analysis for Graph Structured Data. PAKDD 1999: 420-431 | |
| 1998 | ||
| 9 | Takashi Washio, Hiroshi Motoda: Discovering Admissible Simultaneous Equations of Large Scale Systems. AAAI/IAAI 1998: 189-196 | |
| 8 | Takashi Washio, Hiroshi Motoda: Development of SDS2: Smart Discovery System for Simultaneous Equation Systems. Discovery Science 1998: 352-363 | |
| 7 | Takashi Washio, Hiroshi Motoda: Mining Association Rules for Estimation and Prediction. PAKDD 1998: 417-419 | |
| 6 | Takashi Washio, Hiroshi Motoda: Discovery of first-principle equations based on scale-type-based and data-driven reasoning. Knowl.-Based Syst. 10(7): 403-411 (1998) | |
| 1997 | ||
| 5 | Takashi Washio, Hiroshi Motoda: Discovering Admissible Models of Complex Systems Based on Scale-Types and Idemtity Constraints. IJCAI (2) 1997: 810-819 | |
| 4 | Takashi Washio, M. Sakuma, M. Kitamura: A New Approach to Quantitative and Credible Diagnosis for Multiple Faults of Components and Sensors. Artif. Intell. 91(1): 103-130 (1997) | |
| 1996 | ||
| 3 | Masahiro Terabe, Takashi Washio, Osamu Katai, Tetsuo Sawaragi: A Study of Organizational Learning in Multi-Agent Sytems. ECAI Workshop LDAIS / ICMAS Workshop LIOME 1996: 168-179 | |
| 2 | Takashi Washio, Hiroshi Motoda: A History-Oriented Envisioning Method. PRICAI 1996: 312-323 | |
| 1 | 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. Parallel Computing 22(1): 131-148 (1996) | |