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Hiroshi Motoda Vis

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*2009
117EEKazumi Saito, Masahiro Kimura, Hiroshi Motoda: Discovering Influential Nodes for SIS Models in Social Networks. Discovery Science 2009: 302-316
116EEMasahiro Kimura, Kazumi Saito, Hiroshi Motoda: Efficient Estimation of Influence Functions for SIS Model on Social Networks. IJCAI 2009: 2046-2051
115EEMasahiro Kimura, Kazumi Saito, Hiroshi Motoda: Blocking links to minimize contamination spread in a social network. TKDD 3(2): (2009)
2008
114 Masahiro Kimura, Kazumi Saito, Hiroshi Motoda: Minimizing the Spread of Contamination by Blocking Links in a Network. AAAI 2008: 1175-1180
113EEKazumi Saito, Masahiro Kimura, Hiroshi Motoda: Effective Visualization of Information Diffusion Process over Complex Networks. ECML/PKDD (2) 2008: 326-341
112EEMasahiro Kimura, Kazumasa Yamakawa, Kazumi Saito, Hiroshi Motoda: Community analysis of influential nodes for information diffusion on a social network. IJCNN 2008: 1358-1363
111EETakayasu Fushimi, Takashi Kawazoe, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda: What Does an Information Diffusion Model Tell about Social Network Structure?. PKAW 2008: 122-136
110EEKouzou 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
109EEMasahiro Kimura, Kazumi Saito, Hiroshi Motoda: Solving the Contamination Minimization Problem on Networks for the Linear Threshold Model. PRICAI 2008: 977-984
108EEAlexandre 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)
107EEXindong 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: Top 10 algorithms in data mining. Knowl. Inf. Syst. 14(1): 1-37 (2008)
2007
106EETakashi Washio, Hiroshi Motoda: Communicability Criteria of Law Equations Discovery. Computational Discovery of Scientific Knowledge 2007: 98-119
105EEHiroshi Motoda: Pattern Discovery from Graph-Structured Data - A Data Mining Perspective. IEA/AIE 2007: 12-22
104EEYang Sok Kim, Byeong Ho Kang, Paul Compton, Hiroshi Motoda: Search engine retrieval of changing information. WWW 2007: 1195-1196
103EETakashi Washio, Koutarou Nakanishi, Hiroshi Motoda: A Classification Method Based on Subspace Clustering and Association Rules. New Generation Comput. 25(3): 235-245 (2007)
2006
102EEHiroshi Motoda: What Can We Do with Graph-Structured Data? - A Data Mining Perspective. Australian Conference on Artificial Intelligence 2006: 1-2
101EEKenta Fukata, Takashi Washio, Hiroshi Motoda: A Method to Search ARX Model Orders and Its Application to Sales Dynamics Analysis. ICDM Workshops 2006: 590-595
100EETakashi 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
99EEPhu 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
98EEKiyoto Takabayashi, Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda, Takashi Washio: Extracting Discriminative Patterns from Graph Structured Data Using Constrained Search. PKAW 2006: 64-74
97EEToshiko 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
96 Shusaku Tsumoto, Takahira Yamaguchi, Masayuki Numao, Hiroshi Motoda: Active Mining, Second International Workshop, AM 2003, Maebashi, Japan, October 28, 2003, Revised Selected Papers Springer 2005
95 Achim G. Hoffmann, Hiroshi Motoda, Tobias Scheffer: Discovery Science, 8th International Conference, DS 2005, Singapore, October 8-11, 2005, Proceedings Springer 2005
94EETakashi Washio, Fuminori Adachi, Hiroshi Motoda: SCALETRACK: A System to Discover Dynamic Law Equations Containing Hidden States and Chaos. Discovery Science 2005: 253-266
93EEAlexandre Termier, Marie-Christine Rousset, Michèle Sebag, Kouzou Ohara, Takashi Washio, Hiroshi Motoda: Efficient Mining of High Branching Factor Attribute Trees. ICDM 2005: 785-788
92EETakashi Washio, Yuki Mitsunaga, Hiroshi Motoda: Mining Quantitative Frequent Itemsets Using Adaptive Density-Based Subspace Clustering. ICDM 2005: 793-796
91EETakashi Washio, Fuminori Adachi, Hiroshi Motoda: Discovering Time Differential Law Equations Containing Hidden State Variables and Chaotic Dynamics. IJCAI 2005: 1642-1644
90EETakashi Washio, Koutarou Nakanishi, Hiroshi Motoda, Takashi Okada: Mutagenicity Risk Analysis by Using Class Association Rules. JSAI Workshops 2005: 436-445
89EEPhu 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
88EETakashi Washio, Koutarou Nakanishi, Hiroshi Motoda: Deriving Class Association Rules Based on Levelwise Subspace Clustering. PKDD 2005: 692-700
87EEKenichi 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
86EETakashi Washio, Atsushi Fujimoto, Hiroshi Motoda: A Framework of Numerical Basket Analysis. SAINT Workshops 2005: 340-343
85EEWarodom Geamsakul, Tetsuya Yoshida, Kouzou Ohara, Hiroshi Motoda, Hideto Yokoi, Katsuhiko Takabayashi: Constructing a Decision Tree for Graph-Structured Data and its Applications. Fundam. Inform. 66(1-2): 131-160 (2005)
84EEAkihiro Inokuchi, Takashi Washio, Hiroshi Motoda: A General Framework for Mining Frequent Subgraphs from Labeled Graphs. Fundam. Inform. 66(1-2): 53-82 (2005)
83EETakashi 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)
82EEFuminori 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
81EEKouzou Ohara, Yukio Onishi, Noboru Babaguchi, Hiroshi Motoda: Constructive Inductive Learning Based on Meta-attributes. Discovery Science 2004: 142-154
80EEKenichi Yoshida, Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Teruaki Homma, Akihiro Nakashima, Hiromitsu Fujikawa, Katsuyuki Yamazaki: Density-based spam detector. KDD 2004: 486-493
79EEKatsutoshi Yada, Hiroshi Motoda, Takashi Washio, Asuka Miyawaki: Consumer Behavior Analysis by Graph Mining Technique. KES 2004: 800-806
78EEAmit Mandvikar, Huan Liu, Hiroshi Motoda: Compact Dual Ensembles for Active Learning. PAKDD 2004: 293-297
77EEPhu Chien Nguyen, Takashi Washio, Kouzou Ohara, Hiroshi Motoda: Using a Hash-Based Method for Apriori-Based Graph Mining. PKDD 2004: 349-361
76EEHuan Liu, Hiroshi Motoda, Lei Yu: A selective sampling approach to active feature selection. Artif. Intell. 159(1-2): 49-74 (2004)
75EETetsuya 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)
74EENada Lavrac, Hiroshi Motoda, Tom Fawcett, Robert Holte, Pat Langley, Pieter W. Adriaans: Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving. Machine Learning 57(1-2): 13-34 (2004)
73EENada Lavrac, Hiroshi Motoda, Tom Fawcett: Editorial: Data Mining Lessons Learned. Machine Learning 57(1-2): 5-11 (2004)
2003
72EEShusaku Tsumoto, Takahira Yamaguchi, Masayuki Numao, Hiroshi Motoda: Active Mining Project: Overview. Active Mining 2003: 1-10
71EEWarodom 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
70EEWarodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio: Performance Evaluation of Decision Tree Graph-Based Induction. Discovery Science 2003: 128-140
69EEFuminori Adachi, Takashi Washio, Hiroshi Motoda, Atsushi Fujimoto, Hidemitsu Hanafusa: Development of Generic Search Method Based on Transformation Invariance. ISMIS 2003: 486-495
68EEHuan Liu, Lei Yu, Manoranjan Dash, Hiroshi Motoda: Active Feature Selection Using Classes. PAKDD 2003: 474-485
67EEWarodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio: Classifier Construction by Graph-Based Induction for Graph-Structured Data. PAKDD 2003: 52-62
66 Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda: Complete Mining of Frequent Patterns from Graphs: Mining Graph Data. Machine Learning 50(3): 321-354 (2003)
65EETakashi Washio, Hiroshi Motoda: State of the art of graph-based data mining. SIGKDD Explorations 5(1): 59-68 (2003)
64 Setsuo Arikawa, Koichi Furukawa, Shinichi Morishita, Hiroshi Motoda: Preface. Theor. Comput. Sci. 292(2): 343-344 (2003)
2002
63EETakashi Matsuda, Hiroshi Motoda, Tetsuya Yoshida, Takashi Washio: Mining Patterns from Structured Data by Beam-Wise Graph-Based Induction. Discovery Science 2002: 422-429
62EETetsuya Yoshida, Hiroshi Motoda, Takashi Washio: Adaptive Ripple Down Rules Method based on Minimum Description Length Principle. ICDM 2002: 530-537
61 Huan Liu, Hiroshi Motoda, Lei Yu: Feature Selection with Selective Sampling. ICML 2002: 395-402
60EETakuya 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
59EEKeisei Fujiwara, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio: Case Generation Method for Constructing an RDR Knowledge Base. PRICAI 2002: 228-237
58EETakashi Matsuda, Hiroshi Motoda, Tetsuya Yoshida, Takashi Washio: Knowledge Discovery from Structured Data by Beam-Wise Graph-Based Induction. PRICAI 2002: 255-264
57EETakashi Washio, Hiroshi Motoda: Toward the Discovery of First Principle Based Scientific Law Equations. Progress in Discovery Science 2002: 553-564
56EETakashi Matsuda, Hiroshi Motoda, Takashi Washio: Graph-based induction and its applications. Advanced Engineering Informatics 16(2): 135-143 (2002)
55 Huan Liu, Hiroshi Motoda: On Issues of Instance Selection. Data Min. Knowl. Discov. 6(2): 115-130 (2002)
54EEMasahiro Terabe, Takashi Washio, Hiroshi Motoda, Osamu Katai, Tetsuo Sawaragi: Attribute Generation Based on Association Rules. Knowl. Inf. Syst. 4(3): 329-349 (2002)
2001
53EETakashi Washio, Hiroshi Motoda, Yuji Niwa: Discovering Admissible Simultaneous Equation Models from Observed Data. ECML 2001: 539-551
52EEMasahiro Terabe, Takashi Washio, Hiroshi Motoda: S3Bagging: Fast Classifier Induction Method with Subsampling and Bagging. IDA 2001: 177-186
51EETakayuki Ikeda, Takashi Washio, Hiroshi Motoda: Basket Analysis on Meningitis Data. JSAI Workshops 2001: 516-524
50EETakuya Wada, Hiroshi Motoda, Takashi Washio: Knowledge Acquisition from Both Human Expert and Data. PAKDD 2001: 550-561
49EEMakoto Tsukada, Takashi Washio, Hiroshi Motoda: Automatic Web-Page Classification by Using Machine Learning Methods. Web Intelligence 2001: 303-313
48EETakuya 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
47EETakashi 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
46 Takashi Washio, Hiroshi Motoda, Yuji Niwa: Enhancing the Plausibility of Law Equation Discovery. ICML 2000: 1127-1134
45 Takashi Matsuda, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio: Extension of Graph-Based Induction for General Graph Structured Data. PAKDD 2000: 420-431
44 Manoranjan Dash, Huan Liu, Hiroshi Motoda: Consistency Based Feature Selection. PAKDD 2000: 98-109
43EEAkihiro Inokuchi, Takashi Washio, Hiroshi Motoda: An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data. PKDD 2000: 13-23
42 Hiroshi Motoda, Setsuo Arikawa: Special Feature on Discovery Science. New Generation Comput. 18(1): 13-16 (2000)
1999
41EEManoranjan Dash, Huan Liu, Hiroshi Motoda: Feature Selection Using Consistency Measure. Discovery Science 1999: 319-320
40EEAkihiro Inokuchi, Takashi Washio, Hiroshi Motoda: Derivation of the Topology Structure from Massive Graph Data. Discovery Science 1999: 330-332
39EETakashi Matsuda, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio, Kohei Kumazawa, Naohide Arai: Graph-Based Induction for General Graph Structured Data. Discovery Science 1999: 340-342
38 Takashi Washio, Hiroshi Motoda, Niwa Yuji: Discovering Admissible Model Equations from Observed Data Based on Scale-Types and Identity Constrains. IJCAI 1999: 772-779
37EEMasahiro 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
36EEHiroshi Motoda: Computer Assisted Discovery of First Principle Equations from Numeric Data (Abstract). PAKDD 1999: 2
35EETakuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Takashi Washio: Characterization of Default Knowledge in Ripple Down Rules Method. PAKDD 1999: 284-295
34EEAkihiro Inokuchi, Takashi Washio, Hiroshi Motoda, Kouhei Kumasawa, Naohide Arai: Basket Analysis for Graph Structured Data. PAKDD 1999: 420-431
1998
33 Hing-Yan Lee, Hiroshi Motoda: PRICAI'98, Topics in Artificial Intelligence, 5th Pacific Rim International Conference on Artificial Intelligence, Singapore, November 22-27, 1998, Proceedings Springer 1998
32 Setsuo Arikawa, Hiroshi Motoda: Discovery Science, First International Conference, DS '98, Fukuoka, Japan, December 14-16, 1998, Proceedings Springer 1998
31 Takashi Washio, Hiroshi Motoda: Discovering Admissible Simultaneous Equations of Large Scale Systems. AAAI/IAAI 1998: 189-196
30EETakashi Washio, Hiroshi Motoda: Development of SDS2: Smart Discovery System for Simultaneous Equation Systems. Discovery Science 1998: 352-363
29EEHuan Liu, Hiroshi Motoda, Manoranjan Dash: A Monotonic Measure for Optimal Feature Selection. ECML 1998: 101-106
28 Takashi Washio, Hiroshi Motoda: Mining Association Rules for Estimation and Prediction. PAKDD 1998: 417-419
27EEHiroshi Motoda, Kenichi Yoshida: Machine Learning Techniques to Make Computers Easier to Use. Artif. Intell. 103(1-2): 295-321 (1998)
26 Huan Liu, Hiroshi Motoda: Guest Editors' Introduction: Feature Transformation and Subset Selection. IEEE Intelligent Systems 13(2): 26-28 (1998)
25EEHing-Yan Lee, Hongjun Lu, Hiroshi Motoda: Knowledge discovery and data mining. Knowl.-Based Syst. 10(7): 401-402 (1998)
24EETakashi 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
23 Hiroshi Motoda, Kenichi Yoshida: Machine Learning Techniques to Make Computers Easier to Use. IJCAI 1997: 1622-1631
22 Takashi Washio, Hiroshi Motoda: Discovering Admissible Models of Complex Systems Based on Scale-Types and Idemtity Constraints. IJCAI (2) 1997: 810-819
21EEByeong Ho Kang, Kenichi Yoshida, Hiroshi Motoda, Paul Compton: Help Desk System with Intelligent Interface. Applied Artificial Intelligence 11(7-8): 611-631 (1997)
1996
20EETakashi Washio, Hiroshi Motoda: A History-Oriented Envisioning Method. PRICAI 1996: 312-323
19 Shingo Nishioka, Atsuo Kawaguchi, Hiroshi Motoda: Process Labeled Kernel Profiling: A New Facility to Profile System Activities. USENIX Annual Technical Conference 1996: 295-306
1995
18 Kenichi Yoshida, Hiroshi Motoda: Tables, Graphs and Logic for Induction. Machine Intelligence 15 1995: 298-311
17 Atsuo Kawaguchi, Shingo Nishioka, Hiroshi Motoda: A Flash-Memory Based File System. USENIX Winter 1995: 155-164
16EEKenichi Yoshida, Hiroshi Motoda: CLIP: Concept Learning from Inference Patterns. Artif. Intell. 75(1): 63-92 (1995)
15EERiichiro Mizoguchi, Hiroshi Motoda: Expert Systems Research in Japan. IEEE Expert 10(4): 14-23 (1995)
1994
14 N. Hari Narayanan, Masaki Suwa, Hiroshi Motoda: How Things Appear to Work: Predicting Behaviors from Device Diagrams. AAAI 1994: 1161-1167
13 Masaki Suwa, Hiroshi Motoda: Learning Perceptually Chunked Macro Operators. Machine Intelligence 13 1994: 419-440
12 Masaki Suwa, Hiroshi Motoda: PCLEARN: A Computer Model for Learning Perceptual Chunks. AI Commun. 7(2): 114-125 (1994)
11EEKenichi Yoshida, Hiroshi Motoda, Nitin Indurkhya: Graph-based induction as a unified learning framework. Appl. Intell. 4(3): 297-316 (1994)
1993
10 Makoto Iwayama, Nitin Indurkhya, Hiroshi Motoda: A New Algorithm for Automatic Configuration of Hidden Markov Models. ALT 1993: 237-250
9 Kenichi Yoshida, Hiroshi Motoda, Nitin Indurkhya: Unifying Learning Methods by Colored Digraphs. ALT 1993: 342-355
8 Masaki Suwa, Hiroshi Motoda: A Perceptual Criterion for Visually Controlling Learning. ALT 1993: 356-369
7 Masaki Suwa, Hiroshi Motoda: On dealing with dynamic utility of learned knowledge. Machine Intelligence 14 1993: 113-
1991
6EEHiroshi Motoda, Riichiro Mizoguchi, John H. Boose, Brian R. Gaines: Knowledge Acquisition for Knowledge-Based Systems. IEEE Expert 6(4): 53-64 (1991)
5EEAtsuo Kawaguchi, Hiroshi Motoda, Riichiro Mizoguchi: Interview-Based Knowledge Acquisition Using Dynamic Analysis. IEEE Expert 6(5): 47-60 (1991)
1990
4EEHiroshi Motoda: The Current Status of Expert System Development and Related Technologies in Japan. IEEE Expert 5(4): 3-11 (1990)
1988
3 Akito Sakurai, Hiroshi Motoda: Proving Definite Clauses without Explicit Use of Inductions. LP 1988: 11-26
1984
2 Hiroshi Motoda, Naoyuki Yamada, Kenichi Yoshida: A Knowledge based System for Plant Diagnosis. FGCS 1984: 582-588
1983
1 Naoyuki Yamada, Hiroshi Motoda: A Diagnosis Method of Dynamic System Using the Knowledge on System Description. IJCAI 1983: 225-229

Coauthor Index

1Fuminori Adachi [69] [80] [82] [87] [91] [94]
2Pieter W. Adriaans [74]
3Naohide Arai [34] [39]
4Setsuo Arikawa [32] [42] [64]
5Noboru Babaguchi [81]
6John H. Boose [6]
7Paul Compton [21] [104]
8Manoranjan Dash [29] [41] [44] [68]
9Tom Fawcett [73] [74]
10Hiromitsu Fujikawa [80] [87]
11Atsushi Fujimoto [69] [82] [86]
12Keisei Fujiwara [59]
13Kenta Fukata [101]
14Koichi Furukawa [64]
15Takayasu Fushimi [111]
16Brian R. Gaines [6]
17Warodom Geamsakul [67] [70] [71] [85]
18Joydeep Ghosh [107]
19Hidemitsu Hanafusa [69] [82]
20David J. Hand [107]
21Masahiro Hara [110]
22Achim G. Hoffmann [95]
23Robert C. Holte (Robert Holte) [74]
24Teruaki Homma [80] [87]
25Tadashi Horiuchi [35] [39] [45] [47] [48]
26Takayuki Ikeda [51]
27Nitin Indurkhya [9] [10] [11]
28Akihiro Inokuchi [34] [40] [43] [66] [84]
29Hiroyuki Itakura [97]
30Makoto Iwayama [10]
31Byeong Ho Kang [21] [104]
32Osamu Katai [37] [54]
33Atsuo Kawaguchi [5] [17] [19]
34Takashi Kawazoe [111]
35Yang Sok Kim [104]
36Masahiro Kimura [109] [111] [112] [113] [114] [115] [116] [117]
37Vipin Kumar [107]
38Kouhei Kumasawa [34]
39Kohei Kumazawa [39]
40Pat Langley [74]
41Nada Lavrac [73] [74]
42Hing-Yan Lee [25] [33]
43Bing Liu [107]
44Huan Liu [26] [29] [41] [44] [55] [61] [68] [76] [78]
45Hongjun Lu [25]
46Amit Mandvikar [78]
47Takashi Matsuda [39] [45] [47] [56] [58] [63] [67] [70]
48Geoffrey J. McLachlan [107]
49Yuki Mitsunaga [92]
50Asuka Miyawaki [79]
51Riichiro Mizoguchi [5] [6] [15]
52Akira Mogi [99]
53Shinichi Morishita [64]
54Koutarou Nakanishi [88] [90] [103]
55Akihiro Nakashima [80] [87]
56N. Hari Narayanan [14]
57Angus F. M. Ng [107]
58Phu Chien Nguyen [77] [89] [98] [99]
59Shingo Nishioka [17] [19]
60Yuji Niwa [46] [53] [83]
61Masayuki Numao [72] [96]
62Kouzou Ohara [71] [77] [81] [85] [89] [93] [98] [99] [108] [110]
63Takashi Okada [90] [100]
64Yukio Onishi [81]
65J. Ross Quinlan [107]
66Marie-Christine Rousset [93] [108]
67Kazumi Saito [109] [111] [112] [113] [114] [115] [116] [117]
68Akito Sakurai [3]
69Tetsuo Sawaragi [37] [54]
70Tobias Scheffer [95]
71Michèle Sebag [93] [108]
72Yasuo Shinnou [100]
73Michael Steinbach [107]
74Dan Steinberg [107]
75Masaki Suwa [7] [8] [12] [13] [14]
76Katsuhiko Takabayashi [71] [85]
77Kiyoto Takabayashi [98] [110]
78Masaki Tamura [97]
79Masahiro Terabe [37] [52] [54]
80Alexandre Termier [93] [108]
81Makoto Tsukada [49]
82Shusaku Tsumoto [72] [96]
83Takuya Wada [35] [48] [50] [60] [75]
84Toshiko Wakaki [97]
85Takashi Washio [20] [22] [24] [28] [30] [31] [34] [35] [37] [38] [39] [40] [43] [45] [46] [47] [48] [49] [50] [51] [52] [53] [54] [56] [57] [58] [59] [60] [62] [63] [65] [66] [67] [69] [70] [71] [75] [77] [79] [80] [82] [83] [84] [86] [87] [88] [89] [90] [91] [92] [93] [94] [97] [98] [99] [100] [101] [103] [106] [108] [110]
86Xindong Wu [107]
87Katsutoshi Yada [79] [100]
88Naoyuki Yamada [1] [2]
89Takahira Yamaguchi [72] [96]
90Kazumasa Yamakawa [112]
91Katsuyuki Yamazaki [80] [87]
92Qiang Yang [107]
93Hideto Yokoi [71] [85]
94Kenichi Yoshida [2] [9] [11] [16] [18] [21] [23] [27] [80] [87]
95Tetsuya Yoshida [58] [59] [60] [62] [63] [67] [70] [71] [75] [85]
96Lei Yu [61] [68] [76]
97Philip S. Yu [107]
98Niwa Yuji [38]
99Zhi-Hua Zhou [107]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)