| 2008 |
|---|
| 78 | | 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 |
| 77 | EE | 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) |
| 2007 |
|---|
| 76 | | 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 |
| 75 | | 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 |
| 74 | EE | Takashi Washio,
Hiroshi Motoda:
Communicability Criteria of Law Equations Discovery.
Computational Discovery of Scientific Knowledge 2007: 98-119 |
| 73 | EE | 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 |
| 72 | EE | Takashi Washio,
Shusaku Tsumoto:
International Workshop on Risk Informatics (RI2007).
JSAI 2007: 245-246 |
| 71 | EE | 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 |
| 70 | EE | Takashi Washio:
Applications eligible for data mining.
Advanced Engineering Informatics 21(3): 241-242 (2007) |
| 2006 |
|---|
| 69 | | 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 |
| 68 | EE | Nguyen Viet Phuong,
Takashi Washio:
Modeling Dynamic Substate Chains among Massive States for Prediction.
ICDM Workshops 2006: 484-489 |
| 67 | EE | 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 |
| 66 | EE | Shusaku Tsumoto,
Takashi Washio:
Risk Mining - Overview.
JSAI 2006: 303-304 |
| 65 | EE | 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 |
| 64 | EE | 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 |
| 63 | EE | 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 |
| 62 | EE | 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 |
|---|
| 61 | EE | Takashi Washio,
Fuminori Adachi,
Hiroshi Motoda:
SCALETRACK: A System to Discover Dynamic Law Equations Containing Hidden States and Chaos.
Discovery Science 2005: 253-266 |
| 60 | EE | 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 |
| 59 | EE | Takashi Washio,
Yuki Mitsunaga,
Hiroshi Motoda:
Mining Quantitative Frequent Itemsets Using Adaptive Density-Based Subspace Clustering.
ICDM 2005: 793-796 |
| 58 | EE | Takashi Washio,
Fuminori Adachi,
Hiroshi Motoda:
Discovering Time Differential Law Equations Containing Hidden State Variables and Chaotic Dynamics.
IJCAI 2005: 1642-1644 |
| 57 | EE | Takashi Washio,
Koutarou Nakanishi,
Hiroshi Motoda,
Takashi Okada:
Mutagenicity Risk Analysis by Using Class Association Rules.
JSAI Workshops 2005: 436-445 |
| 56 | EE | 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 |
| 55 | EE | Takashi Washio,
Koutarou Nakanishi,
Hiroshi Motoda:
Deriving Class Association Rules Based on Levelwise Subspace Clustering.
PKDD 2005: 692-700 |
| 54 | EE | 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 |
| 53 | EE | Takashi Washio,
Atsushi Fujimoto,
Hiroshi Motoda:
A Framework of Numerical Basket Analysis.
SAINT Workshops 2005: 340-343 |
| 52 | EE | Akihiro Inokuchi,
Takashi Washio,
Hiroshi Motoda:
A General Framework for Mining Frequent Subgraphs from Labeled Graphs.
Fundam. Inform. 66(1-2): 53-82 (2005) |
| 51 | EE | Takashi Washio,
Luc De Raedt,
Joost N. Kok:
Advances in Mining Graphs, Trees and Sequences.
Fundam. Inform. 66(1-2): (2005) |
| 50 | EE | 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) |
| 2004 |
|---|
| 49 | EE | 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 | EE | Katsutoshi Yada,
Hiroshi Motoda,
Takashi Washio,
Asuka Miyawaki:
Consumer Behavior Analysis by Graph Mining Technique.
KES 2004: 800-806 |
| 47 | EE | Phu Chien Nguyen,
Takashi Washio,
Kouzou Ohara,
Hiroshi Motoda:
Using a Hash-Based Method for Apriori-Based Graph Mining.
PKDD 2004: 349-361 |
| 46 | EE | 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 | EE | 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 | EE | 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 | EE | Warodom Geamsakul,
Takashi Matsuda,
Tetsuya Yoshida,
Hiroshi Motoda,
Takashi Washio:
Performance Evaluation of Decision Tree Graph-Based Induction.
Discovery Science 2003: 128-140 |
| 42 | EE | Fuminori Adachi,
Takashi Washio,
Hiroshi Motoda,
Atsushi Fujimoto,
Hidemitsu Hanafusa:
Development of Generic Search Method Based on Transformation Invariance.
ISMIS 2003: 486-495 |
| 41 | EE | 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 | EE | Takashi Washio,
Hiroshi Motoda:
State of the art of graph-based data mining.
SIGKDD Explorations 5(1): 59-68 (2003) |
| 2002 |
|---|
| 38 | EE | 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 | EE | Tetsuya Yoshida,
Hiroshi Motoda,
Takashi Washio:
Adaptive Ripple Down Rules Method based on Minimum Description Length Principle.
ICDM 2002: 530-537 |
| 36 | EE | 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 | EE | Keisei Fujiwara,
Tetsuya Yoshida,
Hiroshi Motoda,
Takashi Washio:
Case Generation Method for Constructing an RDR Knowledge Base.
PRICAI 2002: 228-237 |
| 34 | EE | Takashi Matsuda,
Hiroshi Motoda,
Tetsuya Yoshida,
Takashi Washio:
Knowledge Discovery from Structured Data by Beam-Wise Graph-Based Induction.
PRICAI 2002: 255-264 |
| 33 | EE | Hiroshi H. Hasegawa,
Takashi Washio,
Yukari Ishimiya:
Inductive Thermodynamics from Time Series Data Analysis.
Progress in Discovery Science 2002: 384-394 |
| 32 | EE | Takashi Washio,
Hiroshi Motoda:
Toward the Discovery of First Principle Based Scientific Law Equations.
Progress in Discovery Science 2002: 553-564 |
| 31 | EE | Takashi Matsuda,
Hiroshi Motoda,
Takashi Washio:
Graph-based induction and its applications.
Advanced Engineering Informatics 16(2): 135-143 (2002) |
| 30 | EE | 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 | EE | Takashi Washio,
Hiroshi Motoda,
Yuji Niwa:
Discovering Admissible Simultaneous Equation Models from Observed Data.
ECML 2001: 539-551 |
| 27 | EE | Masahiro Terabe,
Takashi Washio,
Hiroshi Motoda:
S3Bagging: Fast Classifier Induction Method with Subsampling and Bagging.
IDA 2001: 177-186 |
| 26 | EE | Takashi Washio:
JSAI KDD Challenge 2001: JKDD01.
JSAI Workshops 2001: 499 |
| 25 | EE | Takayuki Ikeda,
Takashi Washio,
Hiroshi Motoda:
Basket Analysis on Meningitis Data.
JSAI Workshops 2001: 516-524 |
| 24 | EE | Takuya Wada,
Hiroshi Motoda,
Takashi Washio:
Knowledge Acquisition from Both Human Expert and Data.
PAKDD 2001: 550-561 |
| 23 | EE | Makoto Tsukada,
Takashi Washio,
Hiroshi Motoda:
Automatic Web-Page Classification by Using Machine Learning Methods.
Web Intelligence 2001: 303-313 |
| 22 | EE | 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 | EE | Hiroshi H. Hasegawa,
Takashi Washio,
Yukari Ishimiya,
Takeshi Saito:
Nonequilibrium Thermodynamics from Time Series Data Analysis.
Discovery Science 2000: 304-305 |
| 20 | EE | 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 | EE | Akihiro Inokuchi,
Takashi Washio,
Hiroshi Motoda:
An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data.
PKDD 2000: 13-23 |
| 1999 |
|---|
| 16 | EE | Hiroshi H. Hasegawa,
Takashi Washio,
Yukari Ishimiya:
``Thermodynamics'' from Time Series Data Analysis.
Discovery Science 1999: 326-327 |
| 15 | EE | Akihiro Inokuchi,
Takashi Washio,
Hiroshi Motoda:
Derivation of the Topology Structure from Massive Graph Data.
Discovery Science 1999: 330-332 |
| 14 | EE | 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 | EE | 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 | EE | Takuya Wada,
Tadashi Horiuchi,
Hiroshi Motoda,
Takashi Washio:
Characterization of Default Knowledge in Ripple Down Rules Method.
PAKDD 1999: 284-295 |
| 10 | EE | 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 | EE | 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 | EE | 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 | EE | 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) |
