■ Conference
Papers
1.
Takayoshi
Shoudai, Satoshi Matsumoto, and Yusuke Suzuki, Distributional Learning of
Regular Formal Graph System of Bounded Degree, Proceedings of the 26th International Conference on Inductive Logic
Programming (ILP2016), Lecture Notes in Artificial Intelligence, to appear,
2017.
2.
Seiya Hara and Takayoshi Shoudai, Polynomial
Time MAT Learning of C-Deterministic Regular Formal Graph Systems, Proceedings
of the 3rd International Conference on Advanced Applied Informatics
(IIAI-AAI2014), pages 204-211, 2014.
3.
Yasuhiro
Okamoto, Kensuke Koyanagi, Takayoshi Shoudai, and
Osamu Maruyama, Discovery of Tree Structured Patterns Using Markov Chain Monte
Carlo Method, Proceedings of the 7th IADIS International Conference on
Information Systems (IS2014), pages 95-102, 2014.
4.
Hisashi Tsuruta and
Takayoshi Shoudai, Structure-based Data Mining and Screening for Network
Traffic Data, Proceedings of the 2nd International Conference on Advanced
Applied Informatics (IIAI-AAI2013), pages 152-157, 2013.
5.
Yasuhiro
Okamoto and Takayoshi Shoudai, Hardness of Learning Unordered Tree Contraction
Patterns, Proceedings of the 2nd International Conference on Advanced Applied
Informatics (IIAI-AAI2013), pages 141-146, 2013.
6.
Atsushi
Okamoto and Takayoshi Shoudai, Mining First-Come-First-Served Frequent Time
Sequence Patterns in Streaming Data, Proceedings of the IADIS International
Conference on e-Society (ES2013), pages 283-290, 2013.
7.
Yuta
Yoshimura and Takayoshi Shoudai, Learning Unordered Tree Contraction Patterns
in Polynomial Time, Proceedings of the 22nd International Conference on
Inductive Logic Programming (ILP2012), Springer, Lecture Notes in Artificial
Intelligence, Vol.7842, pages 257-272, 2013
8.
Yuta
Yoshimura, Takayoshi Shoudai, Yusuke Suzuki, Tomoyuki Uchida, and Tetsuhiro Miyahara, Polynomial Time Inductive Inference of Cograph Pattern Languages from Positive Data, Proceedings
of the 21st International Conference on Inductive Logic Programming (ILP2011), Springer,
Lecture Notes in Artificial Intelligence, Vol.7207, pages 389-404, 2012.
9.
Hisashi Tsuruta,
Takayoshi Shoudai, and Jun'ichi Takeuchi, Frequent
Sequential Pattern Discovery for Data Screening, Proceedings of the International
MultiConference of Engineers and Computer Scientists
2011 (IMECS2011), Vol.I, pages 315-322, 2011.
10.
Hitoshi
Yamasaki, Takashi Yamada, and Takayoshi Shoudai, An Expressive Outerplanar Graph Pattern Class and its Efficient Pattern
Matching Algorithm, Proceedings of the International MultiConference
of Engineers and Computer Scientists 2010 (IMECS2010), Vol.I,
pages 471-477, 2010.
11.
Satoshi
Kawamoto, Yusuke Suzuki, and Takayoshi Shoudai, Learning Characteristic
Structured Patterns in Rooted Planar Maps, Proceedings of the International MultiConference of Engineers and Computer Scientists 2010
(IMECS2010), Vol.I, pages 465-470, 2010.
12.
Takashi
Yamada, Hitoshi Yamasaki, and Takayoshi Shoudai, A Polynomial Time Algorithm
for Finding a Minimally Generalized Externally Extensible Outerplanar
Graph Pattern, Proceedings of the 6th Workshop on Learning with Logics and
Logics for Learning (LLLL2009), pages 3-10, 2009.
13.
Yuko
Itokawa, Koichiro Katoh,
Tomoyuki Uchida, and Takayoshi Shoudai, Dictionary-Based Compression Algorithms
for Tree Structured Data, Proceedings of the International MultiConference
of Engineers and Computer Scientists 2009 (IMECS2009), Vol.I,
pages 580-585, 2009.
14.
Hitoshi
Yamasaki and Takayoshi Shoudai, Mining of Frequent Externally Extensible Outerplanar Graph Patterns, Proceedings of the 7th
International Conference on Machine Learning and Applications (ICMLA2008),
pages 871-876, 2008.
15.
Satoshi
Kawamoto, Hitoshi Yamasaki, and Takayoshi Shoudai, A linear time isomorphism
algorithm for circular-arc graphs with connected domination number greater than
3, Proceedings of the 11th JAPAN-KOREA Joint Workshop on Algorithms and
Computation (WAAC2008), pages 123-130, 2008.
16.
Hitoshi
Yamasaki, Yosuke Sasaki, Takayoshi Shoudai, Tomoyuki Uchida, and Yusuke Suzuki,
Learning Block Preserving Outerplanar Graph Patterns
and its Application to Data Mining, Proceedings of the 18th International
Conference on Inductive Logic Programming (ILP2008), Springer, Lecture Notes in
Artificial Intelligence, Vol.5194, pages 330-347, 2008.
17.
Yosuke
Sasaki, Hitoshi Yamasaki, Takayoshi Shoudai, and Tomoyuki Uchida, Mining of
Frequent Block Preserving Outerplanar Graph
Structured Patterns, Proceedings of the 17th International Conference on
Inductive Logic Programming (ILP2007), Springer, Lecture Notes in Artificial
Intelligence, Vol.4894, pages 239-253, 2008.
18.
Rika
Okada, Satoshi Matsumoto, Tomoyuki Uchida, Yusuke Suzuki, and Takayoshi
Shoudai, Exact Learning of Finite Unions of Graph Patterns from Queries,
Proceedings of the 18th International Conference on Algorithmic Learning Theory
(ALT2007), Springer, Lecture Notes in Artificial Intelligence, Vol.4754, pages
298-312, 2007.
19.
Hitoshi
Yamasaki and Takayoshi Shoudai, A Polynomial Time Algorithm for Finding Linear
Interval Graph Patterns, Proceedings of the 4th International Conference on
Theory and Applications of Models of Computation (TAMC2007), Springer, Lecture
Notes in Computer Science, Vol.4484, pages 67-78, 2007.
20.
Hitoshi
Yamasaki and Takayoshi Shoudai, Polynomial Time Inductive Inference of Interval
Graph Pattern Languages from Positive Data, Proceedings of the 4th Workshop on
Learning with Logics and Logics for Learning (LLLL2006), pages 3-9, 2006.
21.
Yusuke
Suzuki, Tetsuhiro Miyahara, Takayoshi Shoudai,
Tomoyuki Uchida, and Yasuaki Nakamura, Discovery of
Maximally Frequent Tag Tree Patterns with Height-Constrained Variables from Semistructured Web Documents, Proceedings of the
International Workshop on Challenges in Web Information Retrieval and
Integration (WIRI2005), pages 104-112, 2005.
22.
Ryoji Takami, Yusuke
Suzuki, Tomoyuki Uchida, Takayoshi Shoudai, and Yasuaki
Nakamura, Polynomial Time Inductive Inference of TTSP Graph Languages from
Positive Data, Proceedings of the 15th International Conference on Inductive
Logic Programming (ILP2005), Springer, Lecture Notes in Artificial Intelligence,
Vol.3625, pages 366-383, 2005.
23.
Kazuhide Aikou, Yusuke
Suzuki, Takayoshi Shoudai, Tomoyuki Uchida, and Tetsuhiro
Miyahara, A Polynomial Time Matching Algorithm of Ordered Tree Patterns having
Height-Constrained Variables, Proceedings of the 16th Annual Symposium on
Combinatorial Pattern Matching (CPM2005), Springer, Lecture Notes in Computer
Science, Vol.3557, pages 346-357, 2005.
24.
Kazuhide Aikou, Yusuke
Suzuki, Takayoshi Shoudai, and Tetsuhiro Miyahara,
Automatic Wrapper Generation for Metasearch using Ordered Tree Structured
Patterns, Proceedings of the 17th Australian Joint Conference on Artificial
Intelligence (AI2004), Springer, Lecture Notes in Artificial Intelligence,
Vol.3339, pages 1030-1035, 2004.
25.
Satoshi
Matsumoto and Takayoshi Shoudai, Learning of Ordered Tree Languages with
Height-Bounded Variables Using Queries, Proceedings of the 15th International
Conference on Algorithmic Learning Theory (ALT2004), Springer, Lecture Notes in
Artificial Intelligence, Vol.3244, pages 425-439, 2004.
26.
Yusuke
Suzuki, Takayoshi Shoudai, Tetsuhiro Miyahara, and
Satoshi Matsumoto, Polynomial Time Inductive Inference of Ordered Tree
Languages with Height-Constrained Variables from Positive Data, Proceedings of
the 8th Pacific Rim International Conference on Artificial Intelligence
(PRICAI2004), Springer, Lecture Notes in Artificial Intelligence, Vol.3157,
pages 211-220, 2004.
27.
Tetsuhiro Miyahara, Yusuke Suzuki, Takayoshi
Shoudai, Tomoyuki Uchida, Kenichi~Takahashi, and Hiroaki~Ueda, Discovery of Maximally Frequent Tag Tree
Patterns with Contractible Variables from Semistructured
Documents, Proceedings of the 8th Pacific-Asia Conference on Knowledge
Discovery and Data Mining (PAKDD2004), Springer, Lecture Notes in Artificial
Intelligence, Vol.3056, pages 133-144, 2004.
28.
Satoshi
Matsumoto, Yusuke Suzuki, Takayoshi Shoudai, Tetsuhiro
Miyahara, and Tomoyuki Uchida, Learning of Finite Unions of Tree Patterns with
Repeated Internal Structured Variables from Queries, Proceedings of the 14th
International Conference on Algorithmic Learning Theory (ALT2003), Springer,
Lecture Notes in Artificial Intelligence, Vol.2842, pages 144-158, 2003.
29.
Yusuke
Suzuki, Takayoshi Shoudai, Satoshi Matsumoto, Tomoyuki Uchida, and Tetsuhiro Miyahara, Efficient Learning of Ordered and
Unordered Tree Patterns with Contractible Variables, Proceedings of the 14th
International Conference on Algorithmic Learning Theory (ALT2003), Springer,
Lecture Notes in Artificial Intelligence, Vol.2842, pages 114-128, 2003.
30.
Kazunori
Yamagata, Tomoyuki Uchida, Takayoshi Shoudai, and Yasuaki
Nakamura, An Effective Grammar-Based Compression Algorithm for Tree Structured
Data, Proceedings of the 13th International Conference on Inductive Logic
Programming (ILP2003), Springer, Lecture Notes in Artificial Intelligence,
Vol.2835, pages 383-400, 2003.
31.
Yusuke
Suzuki, Takayoshi Shoudai, Satoshi Matsumoto, and Tomoyuki Uchida, Efficient
Learning of Unlabeled Term Trees with Contractible Variables from Positive
Data, Proceedings of the 13th International Conference on Inductive Logic
Programming (ILP2003), Springer, Lecture Notes in Artificial Intelligence,
Vol.2835, pages 347-364, 2003.
32.
Yuko
Itokawa, Tomoyuki Uchida, Takayoshi Shoudai, Tetsuhiro
Miyahara, and Yasuaki Nakamura, Finding Frequent
Subgraphs from Graph Structured Data with Geometric Information and Its
Application to Lossless Compression, Proceedings of the 7th Pacific-Asia
Conference on Knowledge Discovery and Data Mining (PAKDD2003), Springer,
Lecture Notes in Artificial Intelligence, Vol.2637, pages 582-594, 2003.
33.
Tetsuhiro Miyahara, Yusuke Suzuki, Takayoshi
Shoudai, Tomoyuki Uchida, Sachio Hirokawa, Kenichi
Takahashi, and Hiroaki Ueda, Extraction of Tag Tree Patterns with Contractible
Variables from Irregular Semistructured data,
Proceedings of the 7th Pacific-Asia Conference on Knowledge Discovery and Data
Mining (PAKDD2003), Springer, Lecture Notes in Artificial Intelligence,
Vol.2637, pages 430-436, 2003.
34.
Tsunenori Mine, Akira Suganuma,
and Takayoshi Shoudai, Categorizing Questions According To
A Navigation List For Web-Based Self Teaching System: AEGIS, Proceedings of the
10th International Conference on Computers in Education (ICCE2002), pages
1245-1249, 2002.
35.
Akira
Suganuma, Tsunenori Mine,
and Takayoshi Shoudai, Dynamic Evaluation of both Students' and Questions'
Levels for Generating Appropriate Exercises to Students Automatically,
Proceedings of the 5th Joint Conference on Knowledge-Based Software Engineering
(JCKBSE2002), IOS Press, Knowledge-Based Software Engineering, Frontiers in
Artificial Intelligence and Applications, Vol.80, pages 325-328, 2002.
36.
Akira
Suganuma, Tsunenori Mine,
and Takayoshi Shoudai, Automatic Generating Appropriate Exercises Based on
Dynamic Evaluating both Students' and Questions' Levels, Proceedings of the
ED-MEDIA 2002 - World Conference on Educational Multimedia, Hypermedia and
Telecommunications, pages 1898-1903, 2002.
37.
Satoshi
Matsumoto, Takayoshi Shoudai, Tetsuhiro Miyahara, and
Tomoyuki Uchida, Learning of Finite Unions of Tree Patterns with Internal
Structured Variables from Queries, Proceedings of the Australian Joint
Conference on Artificial Intelligence (AI2002), Springer, Lecture Notes in
Artificial Intelligence, Vol.2557, pages 523-534, 2002.
38.
Yusuke
Suzuki, Takayoshi Shoudai, Tetsuhiro Miyahara, and
Tomoyuki Uchida, Ordered Term Tree Languages Which Are Polynomial Time
Inductively Inferable from Positive Data, Proceedings of the 13th International
Conference on Algorithmic Learning Theory (ALT2002), Springer, Lecture Notes in
Artificial Intelligence, Vol.2533, pages 188-202, 2002.
39.
Osamu
Maruyama, Takayoshi Shoudai, and Satoru Miyano,
Toward Drawing an Atlas of Hypothesis Classes, Proceedings of the 5th
International Conference on Discovery Science (DS2002), Springer, Lecture Notes
in Artificial Intelligence, Vol.2534, pages 220-232, 2002.
40.
Yusuke
Suzuki, Kotaro Inomae, Takayoshi Shoudai, Tetsuhiro Miyahara, and Tomoyuki Uchida, A Polynomial Time
Matching Algorithm of Structured Ordered Tree Patterns for Data Mining from Semistructured Data, Proceedings of the 12th International
Conference on Inductive Logic Programming (ILP2002), Springer, Lecture Notes in
Artificial Intelligence, Vol.2583, pages 270-284, 2002.
41.
Yusuke
Suzuki, Ryuta Akanuma,
Takayoshi Shoudai, Tetsuhiro Miyahara, and Tomoyuki
Uchida, Polynomial Time Inductive Inference of Ordered Tree Patterns with
Internal Structured Variables from Positive Data, Proceedings of the 15th
Annual Conference on Computational Learning Theory (COLT2002), Springer,
Lecture Notes in Artificial Intelligence, Vol.2375, pages 169-184, 2002.
42.
Kazuyoshi
Furukawa, Tomoyuki Uchida, Kazuya Yamada, Tetsuhiro
Miyahara, Takayoshi Shoudai, and Yasuaki Nakamura,
Extracting Characteristic Structures among Words in Semistructured
Documents, Proceedings of the 5th Pacific-Asia Conference on Knowledge
Discovery and Data Mining (PAKDD2002), Springer, Lecture Notes in Artificial
Intelligence, Vol.2336, pages 356-367, 2002.
43.
Tetsuhiro Miyahara, Yusuke Suzuki, Takayoshi
Shoudai, Tomoyuki Uchida, Kenichi Takahashi, and Hiroaki Ueda, Discovery of
Frequent Tag Tree Patterns in Semistructured Web
Documents, Proceedings of the 5th Pacific-Asia Conference on Knowledge
Discovery and Data Mining (PAKDD2002), Springer, Lecture Notes in Artificial
Intelligence, Vol.2336, pages 341-355, 2002.
44.
Osamu
Maruyama, Takayoshi Shoudai, Emiko Furuichi, Satoru Kuhara, and Satoru Miyano,
Learning Conformation Rules, Proceedings of the 4th International Conference on
Discovery Science (DS2001), Springer, Lecture Notes in Artificial Intelligence,
Vol.2226, pages 243-257, 2001.
45.
Takayoshi
Shoudai, Tomoyuki Uchida, and Tetsuhiro Miyahara,
Polynomial time algorithms for finding unordered tree patterns with internal
variables, Proceedings of the 13th International Symposium Fundamentals of
Computation Theory (FCT2001), Springer, Lecture Notes in Computer Science,
Vol.2138, pages 335-346, 2001.
46.
Tetsuhiro Miyahara, Takayoshi Shoudai, Tomoyuki
Uchida, Kenichi Takahashi, and Hiroaki Ueda, Discovery of Frequent Tree
Structured Patterns in Semistructured Web Documents,
Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data
Mining (PAKDD2001), Springer, Lecture Notes in Artificial Intelligence,
Vol.2035, pages 47-52, 2001.
47.
Takayoshi
Shoudai, Akira Suganuma, and Tsunenori
Mine, AEGIS: Automatic Exercise Generator with Tagged Documents based on the
Intelligence of Students, Proceedings of the 4th Joint Conference on
Knowledge-Based Software Engineering (JCKBSE2000), IOS Press, Knowledge-Based
Software Engineering, Frontiers in Artificial Intelligence and Applications,
Vol.62, pages 311-314, 2000.
48.
Takayoshi
Shoudai, Tetsuhiro Miyahara, Tomoyuki Uchida, and
Satoshi Matsumoto, Inductive Inference of Regular Term Tree Languages and Its
Application to Knowledge Discovery, Proceedings of the 9th
European-Japanese Conference on Information Modelling and Knowledge Bases, IOS
Press, Information Modelling and Knowledge Bases XI, Frontiers in Artificial
Intelligence and Applications, Vol.61, pp.85-102, 2000.
49.
Tsunenori Mine, Takayoshi Shoudai, and Akira Suganuma, Automatic Exercise Generator with Tagged Documents Considering Learner's
Performance, Proceedings of the WebNet 2000, World
Conference on WWW and Internet, pages 779-780, 2000.
50.
Tsunenori Mine, Akira Suganuma,
and Takayoshi Shoudai, The Design and Implementation of Automatic Exercise
Generator with Tagged Documents based on the Intelligence of Students: AEGIS,
Proceedings of the 6th International Conference on Computers in Education
(ICCE2000), Vol.1, pages 651-658, 2000.
51.
Karam Gouda, Takayoshi Shoudai, and Kazuo
Ushijima, DASS: A Discovery Agent Supporting System, Proceedings of the 2nd
ICSC Symposium Engineering of Intelligent Systems (EIS2000), pages 573-579,
2000.
52.
Tomoyuki
Uchida, Yuko Itokawa, Takayoshi Shoudai, Tetsuhiro
Miyahara, and Yasuaki Nakamura, A New Framework for
Discovering Knowledge from Two-Dimensional Structured Data Using Layout Formal
Graph System, Proceedings of the 11th International Conference on Algorithmic
Learning Theory (ALT2000), Springer, Lecture Notes in Artificial Intelligence,
Vol.1968, pages 141-155, 2000.
53.
Tetsuhiro Miyahara, Takayoshi Shoudai, Tomoyuki
Uchida, Kenichi Takahashi, and Hiroaki Ueda, Polynomial Time Matching
Algorithms for Tree-like Structured Patterns in Knowledge Discovery,
Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data
Mining (PAKDD2000), Springer, Lecture Notes in Artificial Intelligence,
Vol.1805, pages 5-16, 2000.
54.
Tetsuhiro Miyahara, Takayoshi Shoudai, Tomoyuki
Uchida, Tetsuji Kuboyama,
Kenichi Takahashi, and Hiroaki Ueda, Discovering New Knowledge from Graph Data
Using Inductive Logic Programming, Proceedings of the 9th International
Workshop on Inductive Logic Programming (ILP'99), Springer, Lecture Notes in
Artificial Intelligence, Vol.1634, pages 222-233, 1999.
55.
Tsunenori Mine, Daisuke Nagano, Kensuke Baba,
Takayoshi Shoudai, and Sachio~Hirokawa,
On-Web-Visualizing a Mechanism of a Single Chip Computer for Computer Literacy
Courses, Proceedings of the 6th International Conference on Computers in
Education (ICCE'98), Vol.2, pages 496-499, 1998.
56.
Osamu
Maruyama, Tomoyuki Uchida, Takayoshi Shoudai, and Satoru Miyano,
Toward Genomic Hypothesis Creator: View Designer for Discovery, Proceedings of
the 1st International Conference on Discovery Science (DS'98), Springer,
Lecture Notes in Artificial Intelligence, Vol.1532, pages 105-116, 1998.
57.
Hiroyuki
Sato, Tsunenori Mine, Takayoshi Shoudai, Hiroki Arimura, and Sachio Hirokawa,
On-Web-Visualizing How Programs Run for Teaching 2300 Students, Proceedings of
the 5th International Conference on Computers in Education (ICCE'97), pages
952-954, 1997.
58.
Satoshi
Matsumoto, Yukiko Hayashi, and Takayoshi Shoudai, Polynomial time inductive
inference of regular term tree languages from positive data, Proceedings of the
8th International Workshop on Algorithmic Learning Theory (ALT'97), Springer,
Lecture Notes in Artificial Intelligence, Vol.1316, pages 212-227, 1997.
59.
Sachio
Hirokawa, Tetsuhiro
Miyahara, Tsunenori Mine, Takayoshi Shoudai, and
Masao Mori, Teaching 2300 Students with WEB - Practice and Experience at Kyushu
University, Proceedings of the International Symposium on Educational
Revolution with Internet (ERI'96), pages 59-63, 1996.
60.
Takayoshi
Shoudai, Michael Lappe, Satoru Miyano,
Ayumi Shinohara, Takeo Okazaki, Setsuo
Arikawa, Tomoyuki Uchida, Shin-ichi
Shimozono, Takeshi Shinohara, and Satoru Kuhara, BONSAI Garden: Parallel Knowledge Discovery System
for Amino Acid Sequences, Proceedings of the 3rd International Conference on
Intelligent Systems for Molecular Biology (ISMB'95), pages 359-366, 1995.
61.
Takayoshi
Shoudai, and Satoru Miyano, Using Maximal Independent
Sets to Solve Problems in Parallel, Proceedings of the 17th International
Workshop on Graph-Theoretic Concepts in Computer Science (WG'91), Springer,
Lecture Notes in Computer Science, Vol.570, pages 126-134, 1992.
62.
Takayoshi
Shoudai, and Satoru Miyano, Bounded degree maximal
subgraph problems are in NC, Proceedings of Toyohashi Symposium on Theoretical
Computer Science, pages 97-101, 1990.
Takayoshi Shoudai
shoudai
(at) isb.kiu.ac.jp