| 2011 |
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| 136 | Speeding Up Bipartite Graph Visualization Method. Takayasu Fushimi, Yamato Kubota, Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda. Australasian Conference on Artificial Intelligence 2011, 697-706. Web SearchBibTeXDownload |
| 135 | Efficient Detection of Hot Span in Information Diffusion from Observation. Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda. CoRR (abs/1110.2659) (2011). Web SearchBibTeXDownload |
| 134 | Detecting Anti-majority Opinionists Using Value-Weighted Mixture Voter Model. Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda. Discovery Science 2011, 150-164. Web SearchBibTeXDownload |
| 133 | Learning information diffusion model in a social network for predicting influence of nodes. Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda. Intell. Data Anal. (15): 633-652 (2011). Web SearchBibTeXDownload |
| 132 | Learning Diffusion Probability Based on Node Attributes in Social Networks. Kazumi Saito, Kouzou Ohara, Yuki Yamagishi, Masahiro Kimura, Hiroshi Motoda. ISMIS 2011, 153-162. Web SearchBibTeXDownload |
| 131 | Learning Attribute-weighted Voter Model over Social Networks. Yuki Yamagishi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda. Journal of Machine Learning Research - Proceedings Track (20): 263-280 (2011). Web SearchBibTeXDownload |
| 130 | Estimating Diffusion Probability Changes for AsIC-SIS Model. Akihiro Koide, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda. Journal of Machine Learning Research - Proceedings Track (20): 297-313 (2011). Web SearchBibTeXDownload |
| 129 | Detecting Changes in Opinion Value Distribution for Voter Model. Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda. SBP 2011, 89-96. Web SearchBibTeXDownload |
| 128 | Learning Information Diffusion Models from Observation and Its Application to Behavior Analysis. Hiroshi Motoda. SocInfo 2011, 6. Web SearchBibTeXDownload |
| 2010 |
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| 127 | Learning to Predict Opinion Share in Social Networks. Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda. AAAI 2010. Web SearchBibTeXDownload |
| 126 | Extracting influential nodes on a social network for information diffusion. Masahiro Kimura, Kazumi Saito, Ryohei Nakano, Hiroshi Motoda. Data Min. Knowl. Discov. (20): 70-97 (2010). Web SearchBibTeXDownload |
| 125 | Discovery of Super-Mediators of Information Diffusion in Social Networks. Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda. Discovery Science 2010, 144-158. Web SearchBibTeXDownload |
| 124 | Selecting Information Diffusion Models over Social Networks for Behavioral Analysis. Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda. ECML/PKDD (3) 2010, 180-195. Web SearchBibTeXDownload |
| 123 | Feature Selection: An Ever Evolving Frontier in Data Mining. Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao. Journal of Machine Learning Research - Proceedings Track (10): 4-13 (2010). Web SearchBibTeXDownload |
| 122 | Generative Models of Information Diffusion with Asynchronous Timedelay. Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda. Journal of Machine Learning Research - Proceedings Track (13): 193-208 (2010). Web SearchBibTeXDownload |
| 121 | Acquiring Expected Influence Curve from Single Diffusion Sequence. Yuya Yoshikawa, Kazumi Saito, Hiroshi Motoda, Kouzou Ohara, Masahiro Kimura. PKAW 2010, 273-287. Web SearchBibTeXDownload |
| 120 | Finding Relation between PageRank and Voter Model. Takayasu Fushimi, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda, Kouzou Ohara. PKAW 2010, 208-222. Web SearchBibTeXDownload |
| 119 | Efficient Estimation of Cumulative Influence for Multiple Activation Information Diffusion Model with Continuous Time Delay. Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda. PRICAI 2010, 244-255. Web SearchBibTeXDownload |
| 118 | Behavioral Analyses of Information Diffusion Models by Observed Data of Social Network. Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda. SBP 2010, 149-158. Web SearchBibTeXDownload |
| 2009 |
|---|
| 117 | Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis. Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda. ACML 2009, 322-337. Web SearchBibTeXDownload |
| 116 | Discovering Influential Nodes for SIS Models in Social Networks. Kazumi Saito, Masahiro Kimura, Hiroshi Motoda. Discovery Science 2009, 302-316. Web SearchBibTeXDownload |
| 115 | Efficient Estimation of Influence Functions for SIS Model on Social Networks. Masahiro Kimura, Kazumi Saito, Hiroshi Motoda. IJCAI 2009, 2046-2051. Web SearchBibTeXDownload |
| 114 | Blocking links to minimize contamination spread in a social network. Masahiro Kimura, Kazumi Saito, Hiroshi Motoda. TKDD (3) (2009). Web SearchBibTeXDownload |
| 2008 |
|---|
| 113 | Minimizing the Spread of Contamination by Blocking Links in a Network. Masahiro Kimura, Kazumi Saito, Hiroshi Motoda. AAAI 2008, 1175-1180. Web SearchBibTeX |
| 112 | Effective Visualization of Information Diffusion Process over Complex Networks. Kazumi Saito, Masahiro Kimura, Hiroshi Motoda. ECML/PKDD (2) 2008, 326-341. Web SearchBibTeXDownload |
| 111 | DryadeParent, An Efficient and Robust Closed Attribute Tree Mining Algorithm. Alexandre Termier, Marie-Christine Rousset, Michèle Sebag, Kouzou Ohara, Takashi Washio, Hiroshi Motoda. IEEE Trans. Knowl. Data Eng. (20): 300-320 (2008). Web SearchBibTeXDownload |
| 110 | Community analysis of influential nodes for information diffusion on a social network. Masahiro Kimura, Kazumasa Yamakawa, Kazumi Saito, Hiroshi Motoda. IJCNN 2008, 1358-1363. Web SearchBibTeXDownload |
| 109 | Top 10 algorithms in data mining. Xindong Wu, Vipin Kumar, J. Ross Quinlan, Joydeep Ghosh, Qiang Yang, Hiroshi Motoda, Geoffrey J. McLachlan, Angus F. M. Ng, Bing Liu, Philip S. Yu, Zhi-Hua Zhou, Michael Steinbach, David J. Hand, Dan Steinberg. Knowl. Inf. Syst. (14): 1-37 (2008). Cited by 78Web SearchBibTeXDownload |
| 108 | Pruning Strategies Based on the Upper Bound of Information Gain for Discriminative Subgraph Mining. Kouzou Ohara, Masahiro Hara, Kiyoto Takabayashi, Hiroshi Motoda, Takashi Washio. PKAW 2008, 50-60. Web SearchBibTeXDownload |
| 107 | What Does an Information Diffusion Model Tell about Social Network Structure?. Takayasu Fushimi, Takashi Kawazoe, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda. PKAW 2008, 122-136. Web SearchBibTeXDownload |
| 106 | Solving the Contamination Minimization Problem on Networks for the Linear Threshold Model. Masahiro Kimura, Kazumi Saito, Hiroshi Motoda. PRICAI 2008, 977-984. Web SearchBibTeXDownload |
| 2007 |
|---|
| 105 | Communicability Criteria of Law Equations Discovery. Takashi Washio, Hiroshi Motoda. Computational Discovery of Scientific Knowledge 2007, 98-119. Web SearchBibTeXDownload |
| 104 | Pattern Discovery from Graph-Structured Data - A Data Mining Perspective. Hiroshi Motoda. IEA/AIE 2007, 12-22. Web SearchBibTeXDownload |
| 103 | A Classification Method Based on Subspace Clustering and Association Rules. Takashi Washio, Koutarou Nakanishi, Hiroshi Motoda. New Generation Comput. (25): 235-245 (2007). Web SearchBibTeXDownload |
| 102 | Search engine retrieval of changing information. Yang Sok Kim, Byeong Ho Kang, Paul Compton, Hiroshi Motoda. WWW 2007, 1195-1196. Web SearchBibTeXDownload |
| 2006 |
|---|
| 101 | What Can We Do with Graph-Structured Data? - A Data Mining Perspective. Hiroshi Motoda. Australian Conference on Artificial Intelligence 2006, 1-2. Web SearchBibTeXDownload |
| 100 | A Method to Search ARX Model Orders and Its Application to Sales Dynamics Analysis. Kenta Fukata, Takashi Washio, Hiroshi Motoda. ICDM Workshops 2006, 590-595. Web SearchBibTeXDownload |
| 99 | Analysis on a Relation Between Enterprise Profit and Financial State by Using Data Mining Techniques. Takashi Washio, Yasuo Shinnou, Katsutoshi Yada, Hiroshi Motoda, Takashi Okada. JSAI 2006, 305-316. Web SearchBibTeXDownload |
| 98 | Constructing Decision Trees for Graph-Structured Data by Chunkingless Graph-Based Induction. Phu Chien Nguyen, Kouzou Ohara, Akira Mogi, Hiroshi Motoda, Takashi Washio. PAKDD 2006, 390-399. Web SearchBibTeXDownload |
| 97 | Extracting Discriminative Patterns from Graph Structured Data Using Constrained Search. Kiyoto Takabayashi, Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda, Takashi Washio. PKAW 2006, 64-74. Web SearchBibTeXDownload |
| 96 | A study on rough set-aided feature selection for automatic web-page classification. Toshiko Wakaki, Hiroyuki Itakura, Masaki Tamura, Hiroshi Motoda, Takashi Washio. Web Intelligence and Agent Systems (4): 431-441 (2006). Web SearchBibTeXDownload |
| 2005 |
|---|
| 95 | SCALETRACK: A System to Discover Dynamic Law Equations Containing Hidden States and Chaos. Takashi Washio, Fuminori Adachi, Hiroshi Motoda. Discovery Science 2005, 253-266. Web SearchBibTeXDownload |
| 94 | Constructing a Decision Tree for Graph-Structured Data and its Applications. Warodom Geamsakul, Tetsuya Yoshida, Kouzou Ohara, Hiroshi Motoda, Hideto Yokoi, Katsuhiko Takabayashi. Fundam. Inform. (66): 131-160 (2005). Web SearchBibTeXDownload |
| 93 | A General Framework for Mining Frequent Subgraphs from Labeled Graphs. Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda. Fundam. Inform. (66): 53-82 (2005). Web SearchBibTeXDownload |
| 92 | Efficient Mining of High Branching Factor Attribute Trees. Alexandre Termier, Marie-Christine Rousset, Michèle Sebag, Kouzou Ohara, Takashi Washio, Hiroshi Motoda. ICDM 2005, 785-788. Web SearchBibTeXDownload |
| 91 | Mining Quantitative Frequent Itemsets Using Adaptive Density-Based Subspace Clustering. Takashi Washio, Yuki Mitsunaga, Hiroshi Motoda. ICDM 2005, 793-796. Web SearchBibTeXDownload |
| 90 | Discovering Time Differential Law Equations Containing Hidden State Variables and Chaotic Dynamics. Takashi Washio, Fuminori Adachi, Hiroshi Motoda. IJCAI 2005, 1642-1644. Web SearchBibTeXDownload |
| 89 | Enhancing the plausibility of law equation discovery through cross check among multiple scale-type-based models. Takashi Washio, Hiroshi Motoda, Yuji Niwa. J. Exp. Theor. Artif. Intell. (17): 129-143 (2005). Web SearchBibTeXDownload |
| 88 | Mutagenicity Risk Analysis by Using Class Association Rules. Takashi Washio, Koutarou Nakanishi, Hiroshi Motoda, Takashi Okada. JSAI Workshops 2005, 436-445. Web SearchBibTeXDownload |
| 87 | Multi-structure Information Retrieval Method Based on Transformation Invariance. Fuminori Adachi, Takashi Washio, Atsushi Fujimoto, Hiroshi Motoda, Hidemitsu Hanafusa. New Generation Comput. (23): 291-313 (2005). Web SearchBibTeXDownload |
| 86 | Cl-GBI: A Novel Approach for Extracting Typical Patterns from Graph-Structured Data. Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda, Takashi Washio. PAKDD 2005, 639-649. Web SearchBibTeXDownload |
| 85 | Deriving Class Association Rules Based on Levelwise Subspace Clustering. Takashi Washio, Koutarou Nakanishi, Hiroshi Motoda. PKDD 2005, 692-700. Web SearchBibTeXDownload |
| 84 | Memory Management of Density-Based Spam Detector. Kenichi Yoshida, Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Teruaki Homma, Akihiro Nakashima, Hiromitsu Fujikawa, Katsuyuki Yamazaki. SAINT 2005, 370-376. Web SearchBibTeXDownload |
| 83 | A Framework of Numerical Basket Analysis. Takashi Washio, Atsushi Fujimoto, Hiroshi Motoda. SAINT Workshops 2005, 340-343. Web SearchBibTeXDownload |
| 2004 |
|---|
| 82 | A selective sampling approach to active feature selection. Huan Liu, Hiroshi Motoda, Lei Yu. Artif. Intell. (159): 49-74 (2004). Web SearchBibTeXDownload |
| 81 | Constructive Inductive Learning Based on Meta-attributes. Kouzou Ohara, Yukio Onishi, Noboru Babaguchi, Hiroshi Motoda. Discovery Science 2004, 142-154. Web SearchBibTeXDownload |
| 80 | Density-Based Spam Detector. Kenichi Yoshida, Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Teruaki Homma, Akihiro Nakashima, Hiromitsu Fujikawa, Katsuyuki Yamazaki. IEICE Transactions (87-D): 2678-2688 (2004). Web SearchBibTeXDownload |
| 79 | Adaptive Ripple Down Rules method based on minimum description length principle. Tetsuya Yoshida, Takuya Wada, Hiroshi Motoda, Takashi Washio. Intell. Data Anal. (8): 239-265 (2004). Web SearchBibTeXDownload |
| 78 | Analysis of Hepatitis Dataset by Decision Tree Based on Graph-Based Induction. Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Kouzou Ohara, Hiroshi Motoda, Takashi Washio, Hideto Yokoi, Katsuhiko Takabayashi. JSAI Workshops 2004, 5-28. Web SearchBibTeXDownload |
| 77 | Workshop on Active Mining (AM-2004). Masayuki Numao, Takahira Yamaguchi, Shusaku Tsumoto, Hiroshi Motoda. JSAI Workshops 2004, 463. Web SearchBibTeXDownload |
| 76 | Density-based spam detector. Kenichi Yoshida, Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Teruaki Homma, Akihiro Nakashima, Hiromitsu Fujikawa, Katsuyuki Yamazaki. KDD 2004, 486-493. Web SearchBibTeXDownload |
| 75 | Consumer Behavior Analysis by Graph Mining Technique. Katsutoshi Yada, Hiroshi Motoda, Takashi Washio, Asuka Miyawaki. KES 2004, 800-806. Web SearchBibTeXDownload |
| 74 | Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving. Nada Lavrac, Hiroshi Motoda, Tom Fawcett, Robert Holte, Pat Langley, Pieter W. Adriaans. Machine Learning (57): 13-34 (2004). Web SearchBibTeXDownload |
| 73 | Editorial: Data Mining Lessons Learned. Nada Lavrac, Hiroshi Motoda, Tom Fawcett. Machine Learning (57): 5-11 (2004). Web SearchBibTeXDownload |
| 72 | Compact Dual Ensembles for Active Learning. Amit Mandvikar, Huan Liu, Hiroshi Motoda. PAKDD 2004, 293-297. Web SearchBibTeXDownload |
| 71 | Using a Hash-Based Method for Apriori-Based Graph Mining. Phu Chien Nguyen, Takashi Washio, Kouzou Ohara, Hiroshi Motoda. PKDD 2004, 349-361. Web SearchBibTeXDownload |
| 2003 |
|---|
| 70 | Extracting Diagnostic Knowledge from Hepatitis Dataset by Decision Tree Graph-Based Induction. Warodom Geamsakul, Tetsuya Yoshida, Kouzou Ohara, Hiroshi Motoda, Takashi Washio, Hideto Yokoi, Katsuhiko Takabayashi. Active Mining 2003, 126-151. Web SearchBibTeXDownload |
| 69 | Active Mining Project: Overview. Shusaku Tsumoto, Takahira Yamaguchi, Masayuki Numao, Hiroshi Motoda. Active Mining 2003, 1-10. Web SearchBibTeXDownload |
| 68 | Performance Evaluation of Decision Tree Graph-Based Induction. Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio. Discovery Science 2003, 128-140. Web SearchBibTeXDownload |
| 67 | Development of Generic Search Method Based on Transformation Invariance. Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Atsushi Fujimoto, Hidemitsu Hanafusa. ISMIS 2003, 486-495. Web SearchBibTeXDownload |
| 66 | Complete Mining of Frequent Patterns from Graphs: Mining Graph Data. Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda. Machine Learning (50): 321-354 (2003). Web SearchBibTeXDownload |
| 65 | Active Feature Selection Using Classes. Huan Liu, Lei Yu, Manoranjan Dash, Hiroshi Motoda. PAKDD 2003, 474-485. Web SearchBibTeXDownload |
| 64 | Classifier Construction by Graph-Based Induction for Graph-Structured Data. Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio. PAKDD 2003, 52-62. Web SearchBibTeXDownload |
| 63 | State of the art of graph-based data mining. Takashi Washio, Hiroshi Motoda. SIGKDD Explorations (5): 59-68 (2003). Web SearchBibTeXDownload |
| 2002 |
|---|
| 62 | Graph-based induction and its applications. Takashi Matsuda, Hiroshi Motoda, Takashi Washio. Advanced Engineering Informatics (16): 135-143 (2002). Web SearchBibTeXDownload |
| 61 | On Issues of Instance Selection. Huan Liu, Hiroshi Motoda. Data Min. Knowl. Discov. (6): 115-130 (2002). Web SearchBibTeXDownload |
| 60 | Mining Patterns from Structured Data by Beam-Wise Graph-Based Induction. Takashi Matsuda, Hiroshi Motoda, Tetsuya Yoshida, Takashi Washio. Discovery Science 2002, 422-429. Web SearchBibTeXDownload |
| 59 | Adaptive Ripple Down Rules Method based on Minimum Description Length Principle. Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio. ICDM 2002, 530-537. Web SearchBibTeXDownload |
| 58 | Feature Selection with Selective Sampling. Huan Liu, Hiroshi Motoda, Lei Yu. ICML 2002, 395-402. Web SearchBibTeX |
| 57 | Attribute Generation Based on Association Rules. Masahiro Terabe, Takashi Washio, Hiroshi Motoda, Osamu Katai, Tetsuo Sawaragi. Knowl. Inf. Syst. (4): 329-349 (2002). Web SearchBibTeXDownload |
| 56 | Extension of the RDR Method That Can Adapt to Environmental Changes and Acquire Knowledge from Both Experts and Data. Takuya Wada, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio. PRICAI 2002, 218-227. Web SearchBibTeXDownload |
| 55 | Case Generation Method for Constructing an RDR Knowledge Base. Keisei Fujiwara, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio. PRICAI 2002, 228-237. Web SearchBibTeXDownload |
| 54 | Knowledge Discovery from Structured Data by Beam-Wise Graph-Based Induction. Takashi Matsuda, Hiroshi Motoda, Tetsuya Yoshida, Takashi Washio. PRICAI 2002, 255-264. Web SearchBibTeXDownload |
| 53 | Toward the Discovery of First Principle Based Scientific Law Equations. Takashi Washio, Hiroshi Motoda. Progress in Discovery Science 2002, 553-564. Web SearchBibTeXDownload |
| 2001 |
|---|
| 52 | Discovering Admissible Simultaneous Equation Models from Observed Data. Takashi Washio, Hiroshi Motoda, Yuji Niwa. ECML 2001, 539-551. Web SearchBibTeXDownload |
| 51 | S3Bagging: Fast Classifier Induction Method with Subsampling and Bagging. Masahiro Terabe, Takashi Washio, Hiroshi Motoda. IDA 2001, 177-186. Web SearchBibTeXDownload |
| 50 | Basket Analysis on Meningitis Data. Takayuki Ikeda, Takashi Washio, Hiroshi Motoda. JSAI Workshops 2001, 516-524. Web SearchBibTeXDownload |
| 49 | A Description Length-Based Decision Criterion for Default Knowledge in the Ripple Down Rules Method. Takuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio. Knowl. Inf. Syst. (3): 146-167 (2001). Web SearchBibTeXDownload |
| 48 | Knowledge Acquisition from Both Human Expert and Data. Takuya Wada, Hiroshi Motoda, Takashi Washio. PAKDD 2001, 550-561. Web SearchBibTeXDownload |
| 47 | Automatic Web-Page Classification by Using Machine Learning Methods. Makoto Tsukada, Takashi Washio, Hiroshi Motoda. Web Intelligence 2001, 303-313. Web SearchBibTeXDownload |
| 2000 |
|---|
| 46 | Graph-Based Induction for General Graph Structured Data and Its Application to Chemical Compound Data. Takashi Matsuda, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio. Discovery Science 2000, 99-111. Web SearchBibTeXDownload |
| 45 | Enhancing the Plausibility of Law Equation Discovery. Takashi Washio, Hiroshi Motoda, Yuji Niwa. ICML 2000, 1127-1134. Web SearchBibTeX |
| 44 | Special Feature on Discovery Science. Hiroshi Motoda, Setsuo Arikawa. New Generation Comput. (18): 13-16 (2000). Web SearchBibTeXDownload |
| 43 | Extension of Graph-Based Induction for General Graph Structured Data. Takashi Matsuda, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio. PAKDD 2000, 420-431. Web SearchBibTeXDownload |
| 42 | Consistency Based Feature Selection. Manoranjan Dash, Huan Liu, Hiroshi Motoda. PAKDD 2000, 98-109. Web SearchBibTeXDownload |
| 41 | An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data. Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda. PKDD 2000, 13-23. Web SearchBibTeXDownload |
| 1999 |
|---|
| 40 | Derivation of the Topology Structure from Massive Graph Data. Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda. Discovery Science 1999, 330-332. Web SearchBibTeXDownload |
| 39 | Graph-Based Induction for General Graph Structured Data. Takashi Matsuda, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio, Kohei Kumazawa, Naohide Arai. Discovery Science 1999, 340-342. Web SearchBibTeXDownload |
| 38 | Feature Selection Using Consistency Measure. Manoranjan Dash, Huan Liu, Hiroshi Motoda. Discovery Science 1999, 319-320. Web SearchBibTeXDownload |
| 37 | Discovering Admissible Model Equations from Observed Data Based on Scale-Types and Identity Constrains. Takashi Washio, Hiroshi Motoda, Niwa Yuji. IJCAI 1999, 772-779. Web SearchBibTeX |
| 36 | Characterization of Default Knowledge in Ripple Down Rules Method. Takuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio. PAKDD 1999, 284-295. Web SearchBibTeXDownload |
| 35 | Computer Assisted Discovery of First Principle Equations from Numeric Data (Abstract). Hiroshi Motoda. PAKDD 1999, 2. Web SearchBibTeXDownload |
| 34 | A Data Pre-processing Method Using Association Rules of Attributes for Improving Decision Tree. Masahiro Terabe, Osamu Katai, Tetsuo Sawaragi, Takashi Washio, Hiroshi Motoda. PAKDD 1999, 143-147. Web SearchBibTeXDownload |
| 33 | Basket Analysis for Graph Structured Data. Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda, Kouhei Kumasawa, Naohide Arai. PAKDD 1999, 420-431. Web SearchBibTeXDownload |
| 1998 |
|---|
| 32 | Discovering Admissible Simultaneous Equations of Large Scale Systems. Takashi Washio, Hiroshi Motoda. AAAI/IAAI 1998, 189-196. Web SearchBibTeX |
| 31 | Machine Learning Techniques to Make Computers Easier to Use. Hiroshi Motoda, Kenichi Yoshida. Artif. Intell. (103): 295-321 (1998). Web SearchBibTeXDownload |
| 30 | Development of SDS2: Smart Discovery System for Simultaneous Equation Systems. Takashi Washio, Hiroshi Motoda. Discovery Science 1998, 352-363. Web SearchBibTeXDownload |
| 29 | A Monotonic Measure for Optimal Feature Selection. Huan Liu, Hiroshi Motoda, Manoranjan Dash. ECML 1998, 101-106. Web SearchBibTeXDownload |
| 28 | Guest Editors' Introduction: Feature Transformation and Subset Selection. Huan Liu, Hiroshi Motoda. IEEE Intelligent Systems (13): 26-28 (1998). Web SearchBibTeX |
| 27 | Knowledge discovery and data mining. Hing-Yan Lee, Hongjun Lu, Hiroshi Motoda. Knowl.-Based Syst. (10): 401-402 (1998). Web SearchBibTeXDownload |
| 26 | Discovery of first-principle equations based on scale-type-based and data-driven reasoning. Takashi Washio, Hiroshi Motoda. Knowl.-Based Syst. (10): 403-411 (1998). Web SearchBibTeXDownload |
| 25 | Mining Association Rules for Estimation and Prediction. Takashi Washio, Hiroshi Motoda. PAKDD 1998, 417-419. Web SearchBibTeXDownload |
| 1997 |
|---|
| 24 | Help Desk System with Intelligent Interface. Byeong Ho Kang, Kenichi Yoshida, Hiroshi Motoda, Paul Compton. Applied Artificial Intelligence (11): 611-631 (1997). Web SearchBibTeXDownload |
| 23 | Machine Learning Techniques to Make Computers Easier to Use. Hiroshi Motoda, Kenichi Yoshida. IJCAI 1997, 1622-1631. Web SearchBibTeX |
| 22 | Discovering Admissible Models of Complex Systems Based on Scale-Types and Idemtity Constraints. Takashi Washio, Hiroshi Motoda. IJCAI (2) 1997, 810-819. Web SearchBibTeX |
| 1996 |
|---|
| 21 | Automated user modeling for intelligent interface. Kenichi Yoshida, Hiroshi Motoda. Int. J. Hum. Comput. Interaction (8): 237-258 (1996). Web SearchBibTeXDownload |
| 20 | A History-Oriented Envisioning Method. Takashi Washio, Hiroshi Motoda. PRICAI 1996, 312-323. Web SearchBibTeXDownload |
| 19 | Process Labeled Kernel Profiling: A New Facility to Profile System Activities. Shingo Nishioka, Atsuo Kawaguchi, Hiroshi Motoda. USENIX Annual Technical Conference 1996, 295-306. Web SearchBibTeX |
| 1995 |
|---|
| 18 | CLIP: Concept Learning from Inference Patterns. Kenichi Yoshida, Hiroshi Motoda. Artif. Intell. (75): 63-92 (1995). Web SearchBibTeXDownload |
| 17 | Expert Systems Research in Japan. Riichiro Mizoguchi, Hiroshi Motoda. IEEE Expert (10): 14-23 (1995). Web SearchBibTeXDownload |
| 16 | Tables, Graphs and Logic for Induction. Kenichi Yoshida, Hiroshi Motoda. Machine Intelligence 15 1995, 298-311. Web SearchBibTeX |
| 15 | A Flash-Memory Based File System. Atsuo Kawaguchi, Shingo Nishioka, Hiroshi Motoda. USENIX Winter 1995, 155-164. Web SearchBibTeX |
| 1994 |
|---|
| 14 | How Things Appear to Work: Predicting Behaviors from Device Diagrams. N. Hari Narayanan, Masaki Suwa, Hiroshi Motoda. AAAI 1994, 1161-1167. Web SearchBibTeX |
| 13 | PCLEARN: A Computer Model for Learning Perceptual Chunks. Masaki Suwa, Hiroshi Motoda. AI Commun. (7): 114-125 (1994). Web SearchBibTeX |
| 12 | Graph-based induction as a unified learning framework. Kenichi Yoshida, Hiroshi Motoda, Nitin Indurkhya. Appl. Intell. (4): 297-316 (1994). Web SearchBibTeXDownload |
| 11 | Learning Perceptually Chunked Macro Operators. Masaki Suwa, Hiroshi Motoda. Machine Intelligence 13 1994, 419-440. Web SearchBibTeX |
| 1993 |
|---|
| 10 | A New Algorithm for Automatic Configuration of Hidden Markov Models. Makoto Iwayama, Nitin Indurkhya, Hiroshi Motoda. ALT 1993, 237-250. Web SearchBibTeXDownload |
| 9 | Unifying Learning Methods by Colored Digraphs. Kenichi Yoshida, Hiroshi Motoda, Nitin Indurkhya. ALT 1993, 342-355. Web SearchBibTeXDownload |
| 8 | A Perceptual Criterion for Visually Controlling Learning. Masaki Suwa, Hiroshi Motoda. ALT 1993, 356-369. Web SearchBibTeXDownload |
| 7 | On dealing with dynamic utility of learned knowledge. Masaki Suwa, Hiroshi Motoda. Machine Intelligence 14 1993, 113. Web SearchBibTeX |
| 1991 |
|---|
| 6 | Knowledge Acquisition for Knowledge-Based Systems. Hiroshi Motoda, Riichiro Mizoguchi, John H. Boose, Brian R. Gaines. IEEE Expert (6): 53-64 (1991). Web SearchBibTeXDownload |
| 5 | Interview-Based Knowledge Acquisition Using Dynamic Analysis. Atsuo Kawaguchi, Hiroshi Motoda, Riichiro Mizoguchi. IEEE Expert (6): 47-60 (1991). Web SearchBibTeXDownload |
| 1990 |
|---|
| 4 | The Current Status of Expert System Development and Related Technologies in Japan. Hiroshi Motoda. IEEE Expert (5): 3-11 (1990). Web SearchBibTeXDownload |
| 1988 |
|---|
| 3 | Proving Definite Clauses without Explicit Use of Inductions. Akito Sakurai, Hiroshi Motoda. LP 1988, 11-26. Web SearchBibTeX |
| 1984 |
|---|
| 2 | A Knowledge based System for Plant Diagnosis. Hiroshi Motoda, Naoyuki Yamada, Kenichi Yoshida. FGCS 1984, 582-588. Web SearchBibTeX |
| 1983 |
|---|
| 1 | A Diagnosis Method of Dynamic System Using the Knowledge on System Description. Naoyuki Yamada, Hiroshi Motoda. IJCAI 1983, 225-229. Web SearchBibTeX |
