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ORCIDSetsuo Ohsuga
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2000 – 2009
- 2009
[c62]Setsuo Ohsuga:
How Were Intelligence and Language Created in Human Brain. Brain Informatics 2009: 9-10- 2008
- [c61]Setsuo Ohsuga:
Intelligence and Language - How Could Human Being Have Language ? EJC 2008: 392-410 - [c60]Setsuo Ohsuga:
Intelligence and Language - How Could Human Being Have Language? GrC 2008: 12-13 - 2007
- [j36]Setsuo Ohsuga:
Bridging the Gap between Non-Symbolic and Symbolic Processing - How Could Human Being Acquire Language? Fundam. Informaticae 75(1-4): 385-406 (2007) - 2006
- [c59]Setsuo Ohsuga:
Intelligence for Upgrading Information. WImBI 2006: 97-121 - [e8]Tsau Young Lin, Setsuo Ohsuga, Churn-Jung Liau, Xiaohua Hu:
Foundations and Novel Approaches in Data Mining. Studies in Computational Intelligence 9, Springer 2006, ISBN 978-3-540-28315-7 [contents] - 2005
- [c58]Setsuo Ohsuga:
Difference between data mining and knowledge discovery - a view to discovery from knowledge-processing. GrC 2005: 7-12 - [p2]Setsuo Ohsuga:
Knowledge Discovery as Translation. Foundations of Data Mining and knowledge Discovery 2005: 1-19 - [e7]Tsau Young Lin, Setsuo Ohsuga, Churn-Jung Liau, Xiaohua Hu, Shusaku Tsumoto:
Foundations of Data Mining and knowledge Discovery. Studies in Computational Intelligence 6, Springer 2005, ISBN 978-3-540-26257-2 [contents] - 2004
- [j35]Yiyu Yao
, Ning Zhong, Jiming Liu, Setsuo Ohsuga:
Web Intelligence: exploring structures, semantics, and knowledge of the Web. Knowl. Based Syst. 17(5-6): 175-177 (2004) - [p1]Ning Zhong, Chunnian Liu, Juzhen Dong, Setsuo Ohsuga:
A Hybrid Model for Rule Discovery in Data. Rough-Neural Computing: Techniques for Computing with Words 2004: 689-722 - 2003
- [j34]Ning Zhong, Juzhen Dong, Setsuo Ohsuga:
Meningitis data mining by cooperatively using GDT-RS and RSBR. Pattern Recognit. Lett. 24(6): 887-894 (2003) - [c57]Takumi Aida, Setsuo Ohsuga:
Program Generation for Application Domain Users by Selecting Model Candidates. ISMIS 2003: 242-251 - 2002
- [c56]Ning Zhong, Juzhen Dong, Yiyu Yao, Setsuo Ohsuga:
Gastric Cancer Data Mining with Ordered Information. Rough Sets and Current Trends in Computing 2002: 467-478 - 2001
- [j33]Ning Zhong, Juzhen Dong, Setsuo Ohsuga:
Rule discovery by soft induction techniques. Neurocomputing 36(1-4): 171-204 (2001) - [j32]Ning Zhong, Chunnian Liu, Setsuo Ohsuga:
Dynamically Organizing KDD Processes. Int. J. Pattern Recognit. Artif. Intell. 15(3): 451-473 (2001) - [j31]Setsuo Ohsuga:
How Can AI Systems Deal with Large and Complex Problems? Int. J. Pattern Recognit. Artif. Intell. 15(3): 493-525 (2001) - [j30]Ning Zhong, Juzhen Dong, Setsuo Ohsuga:
Using Rough Sets with Heuristics for Feature Selection. J. Intell. Inf. Syst. 16(3): 199-214 (2001) - [j29]Ning Zhong, Juzhen Dong, Chunnian Liu, Setsuo Ohsuga:
A hybrid model for rule discovery in data. Knowl. Based Syst. 14(7): 397-412 (2001) - [c55]Ning Zhong, Y. Y. Yao, Muneaki Ohshima, Setsuo Ohsuga:
Interestingness, Peculiarity, and Multi-Database Mining. ICDM 2001: 566-576 - [c54]Setsuo Ohsuga, Naoto Ueda:
Dealing with Information in the Different Styles Together - Skill Inheritance and Integration of Information. IEA/AIE 2001: 101-106 - [c53]Ning Zhong, Juzhen Dong, Setsuo Ohsuga:
Meningitis Data Mining by Cooperatively Using GDT-RS and RSBR. JSAI Workshops 2001: 541-548 - [c52]Ning Zhong, Muneaki Ohshima, Setsuo Ohsuga:
Peculiarity Oriented Mining and Its Application for Knowledge Discovery in Amino-Acid Data. PAKDD 2001: 260-269 - [c51]Yiyu Yao, Ning Zhong, Jiming Liu, Setsuo Ohsuga:
Web Intelligence (WI). Web Intelligence 2001: 1-17 - [e6]Ning Zhong, Yiyu Yao, Jiming Liu, Setsuo Ohsuga:
Web Intelligence: Research and Development, First Asia-Pacific Conference, WI 2001, Maebashi City, Japan, October 23-26, 2001, Proceedings. Lecture Notes in Computer Science 2198, Springer 2001, ISBN 3-540-42730-9 [contents] - 2000
- [j28]Ning Zhong, Juzhen Dong, Setsuo Ohsuga:
A hybrid approach to rule discovery in databases. Inf. Sci. 126(1-4): 99-127 (2000) - [c50]Ning Zhong, Jiming Liu, Yiyu Yao, Setsuo Ohsuga:
Web Intelligence (WI). COMPSAC 2000: 469-470 - [c49]Shuhei Kawasaki, Setsuo Ohsuga:
A Method of Generating Program Specification from Description of Human Activities. ISMIS 2000: 176-185 - [c48]Katsuaki Tanaka, Michiko Higashiyama, Setsuo Ohsuga:
Problem Decomposition and Multi-agent System Creation for Distributed Problem Solving. ISMIS 2000: 237-246 - [c47]Chunnian Liu, Ning Zhong, Setsuo Ohsuga:
A Multi-agent Based Architecture for Distributed KDD Process. ISMIS 2000: 591-600 - [c46]Hiroyuki Yamauchi, Setsuo Ohsuga:
A Method and Language for Constructing Multiagent Systems. ISMIS 2000: 619-628 - [c45]Ning Zhong, Juzhen Dong, Setsuo Ohsuga:
Using Background Knowledge as a Bias to Control the Rule Discovery Process. PKDD 2000: 691-698 - [c44]Setsuo Ohsuga:
The Gap between Symbol and Non-symbol Processing - An Attempt to Represent a Database by Predicate Formulae. PRICAI 2000: 16-26 - [c43]Setsuo Ohsuga, Shunsuke Chigusa, Katsuyuki Sugaya:
Model Based Program Specification and Program Generation - In a Case of Vehicle-Engine Control System Design. PRICAI Workshops 2000: 56-71 - [c42]Takumi Aida, Setsuo Ohsuga:
Model-Based Software Requirements Design. PRICAI 2000: 827 - [c41]Setsuo Ohsuga:
To What Extent Can Computers Aid Human Activity? Toward Second Phase Information Technology. Rough Sets and Current Trends in Computing 2000: 8-29 - [c40]Ning Zhong, Juzhen Dong, Chunnian Liu, Setsuo Ohsuga:
A Hybrid Model for Rule Discovery in Data. Rough Sets and Current Trends in Computing 2000: 436-444 - [e5]Zbigniew W. Ras, Setsuo Ohsuga:
Foundations of Intelligent Systems, 12th International Symposium, ISMIS 2000, Charlotte, NC, USA, October 11-14, 2000, Proceedings. Lecture Notes in Computer Science 1932, Springer 2000, ISBN 3-540-41094-5 [contents]
1990 – 1999
- 1999
- [c39]Setsuo Ohsuga:
A New Modeling Scheme for Problem Solving and Automatic Programming. EJC 1999: 160-174 - [c38]Setsuo Ohsuga, Takumi Aida:
Externalization of Human Idea and Problem Description for Automatic Programming. ISMIS 1999: 163-171 - [c37]Juzhen Dong, Ning Zhong, Setsuo Ohsuga:
Probabilistic Rough Induction: The GDT-RS Methodology and Algorithms. ISMIS 1999: 621-629 - [c36]Ning Zhong, Yiyu Yao, Setsuo Ohsuga:
Peculiarity Oriented Multi-database Mining. PKDD 1999: 136-146 - [c35]Juzhen Dong, Ning Zhong, Setsuo Ohsuga:
Using Rough Sets with Heuristics for Feature Selection. RSFDGrC 1999: 178-187 - [c34]Hiroyuki Yamauchi, Setsuo Ohsuga:
Incorporating Fuzzy Set Theory and Matrix Logic in Multi-Layer Logic - A Preliminary Consideration. RSFDGrC 1999: 304-313 - [e4]Ning Zhong, Andrzej Skowron, Setsuo Ohsuga:
New Directions in Rough Sets, Data Mining, and Granular-Soft Computing, 7th International Workshop, RSFDGrC '99, Yamaguchi, Japan, November 9-11, 1999, Proceedings. Lecture Notes in Computer Science 1711, Springer 1999, ISBN 3-540-66645-1 [contents] - 1998
- [j27]Setsuo Ohsuga:
Toward truly intelligent information systems-from expert systems to automatic programming. Knowl. Based Syst. 10(6): 363-396 (1998) - [j26]Yasuyuki Sumi, Koichi Hori, Setsuo Ohsuga:
Supporting the acquisition and modeling of requirements in software design. Knowl. Based Syst. 11(7-8): 449-456 (1998) - [j25]Hidenori Yoshizumi, Koichi Hori, Setsuo Ohsuga:
A system for aiding form design through concept formation. Syst. Comput. Jpn. 29(1): 33-42 (1998) - [j24]Masanori Sugimoto, Koichi Hori, Setsuo Ohsuga:
A system for visualizing the viewpoints of information and its application to intelligent activity support. IEEE Trans. Syst. Man Cybern. Part C 28(1): 124-136 (1998) - [c33]Juzhen Dong, Ning Zhong, Setsuo Ohsuga:
GDT-RS: A Probabilistic Rough Induction Approach. Discovery Science 1998: 425-426 - [c32]Setsuo Ohsuga:
Intelligent Information System As Agent - Integration, Negotiation and Collaboration. EJC 1998: 12-26 - [c31]Takumi Aida, Setsuo Ohsuga:
Intelligent Systems Must Be Able to Make Programs Automatically for Assuring the Practicality. IEA/AIE (Vol. 1) 1998: 47-56 - [c30]Wataru Ikeda, Setsuo Ohsuga:
New Modeling Method for Using Large Knowledge Bases. IEA/AIE (Vol. 1) 1998: 102-111 - [c29]Ning Zhong, Juzhen Dong, Setsuo Ohsuga:
Data Mining Based on the Generalization Distribution Table and Rough Sets. PAKDD 1998: 360-373 - [c28]Ning Zhong, Chunnian Liu, Yoshitsugu Kakemoto, Setsuo Ohsuga:
Handling KDD Process Changes by Incremental Replanning. PKDD 1998: 111-120 - [c27]Setsuo Ohsuga, Takanori Nishio:
Model Building and Program Specification - In a Case of Enterprise Design. PRICAI 1998: 96-109 - [c26]Ning Zhong, Juzhen Dong, Setsuo Ohsuga:
Soft Techniques to Data Mining. Rough Sets and Current Trends in Computing 1998: 231-238 - [c25]Tsau Young Lin, Ning Zhong, J. J. Dong, Setsuo Ohsuga:
Frameworks for Mining Binary Relations in Data. Rough Sets and Current Trends in Computing 1998: 387-393 - 1997
- [j23]Yasuyuki Sumi, Koichi Hori, Setsuo Ohsuga:
Computer-Aided Thinking by Mapping Text-Objects Into Metric Spaces. Artif. Intell. 91(1): 71-84 (1997) - [c24]Ning Zhong, Yoshitsugu Kakemoto, Setsuo Ohsuga:
An Organized Society of Autonomous Knowledge Discovery Agents. CIA 1997: 183-194 - [c23]Ning Zhong, Chunnian Liu, Setsuo Ohsuga:
A Way of Increasing Both Autonomy and Versality of a KDD System. ISMIS 1997: 94-105 - [c22]Ning Zhong, Chunnian Liu, Yoshitsugu Kakemoto, Setsuo Ohsuga:
KDD Process Planning. KDD 1997: 291-294 - [c21]Ning Zhong, Setsuo Ohsuga, Chunnian Liu, Yoshitsugu Kakemoto, Xiaosong Zhang:
On Meta Levels of an Organized Society of KDD Agents. PKDD 1997: 367-375 - 1996
- [j22]Ning Zhong, Setsuo Ohsuga:
A Hierarchical Model Learning Approach for Refining and Managing Concept Clusters Discovered from Databases. Data Knowl. Eng. 20(2): 227-252 (1996) - [j21]Ning Zhong, Setsuo Ohsuga:
System for managing and refining structural characteristics discovered from databases. Knowl. Based Syst. 9(4): 267-279 (1996) - [j20]Masanori Sugimoto, Koichi Hori, Setsuo Ohsuga:
A system to visualize different viewpoints for supporting researchers' creativity. Knowl. Based Syst. 9(6): 369-376 (1996) - [c20]Setsuo Ohsuga:
Multi-Strata Modeling to Automate Problem Solving Including Human Activity. IEA/AIE 1996: 9-24 - [c19]Ning Zhong, Setsuo Ohsuga:
A Multi-Step Process for Discovering, Managing and Refining Strong Functional Relations Hidden in Databases. ISMIS 1996: 501-510 - [c18]Setsuo Ohsuga:
Symbol Processing by Non-Symbol Processor. PRICAI 1996: 193-205 - [e3]Takushi Tanaka, Setsuo Ohsuga, Moonis Ali:
Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Proceedings of the Ninth International Conference, Fukuoka, Japan, June 4-7, 1996. Gordon and Breach Science Publishers 1996, ISBN 90-5699-524-3 [contents] - 1995
- [j19]Issam A. Hamid, Mohammed Erradi, Gregor von Bochmann, Setsuo Ohsuga:
Adapt Dynamic Evolution in a Reflective Object-Oriented Computer Language. IEICE Trans. Inf. Syst. 78-D(4): 363-382 (1995) - [j18]Jari Vaario, Koichi Hori, Setsuo Ohsuga:
Toward evolutionary design of autonomous systems. Int. J. Comput. Simul. 5(2): 187-206 (1995) - [j17]Ning Zhong, Setsuo Ohsuga:
KOSI - An Integrated System for Discovering Functional Relations from Databases. J. Intell. Inf. Syst. 5(1): 25-50 (1995) - [j16]Setsuo Ohsuga:
A way of designing knowledge based systems. Knowl. Based Syst. 8(4): 211-222 (1995) - [c17]Ning Zhong, Setsuo Ohsuga:
Managing/refining structural characteristics discovered from databases. HICSS (3) 1995: 283-292 - [c16]Masanori Sugimoto, Koichi Hori, Setsuo Ohsuga:
A document retrieval system for assisting creative research. ICDAR 1995: 167-170 - [c15]Ning Zhong, Setsuo Ohsuga:
Toward a Multi-Strategy and Cooperative Discovery System. KDD 1995: 337-343 - 1994
- [j15]Ning Zhong, Setsuo Ohsuga:
Discovering Concept Clusters by Decomposing Databases. Data Knowl. Eng. 12(2): 223-244 (1994) - [j14]Masanori Sugimoto, Koichi Hori, Setsuo Ohsuga:
Method to assist the building and expression of subjective concepts and its application to design problems. Knowl. Based Syst. 7(4): 233-238 (1994) - [c14]Pierre Morizet-Mahoudeaux, Einoshin Suzuki, Setsuo Ohsuga:
Knowledge-Based Handling of Design Expertise. ICDE 1994: 368-374 - [c13]Ning Zhong, Setsuo Ohsuga:
IIBR-A System for Managing/Refining Structural Characteristics Discovered from Databases. ICTAI 1994: 468-475 - [c12]Ning Zhong, Setsuo Ohsuga:
The GLS Discovery System: Its Goal, Architecture and Current Results. ISMIS 1994: 233-244 - [c11]Setsuo Ohsuga:
Expending the scope of information dealt with by computers. RIAO 1994: 2-5 - 1993
- [j13]Setsuo Ohsuga:
How can knowledge-based systems solve large-scale problems?: model-based decomposition and problem solving. Knowl. Based Syst. 6(1): 38-62 (1993) - [j12]Einoshin Suzuki, Tatsuya Akutsu, Setsuo Ohsuga:
Knowledge-based system for computer-aided drug design. Knowl. Based Syst. 6(2): 114-126 (1993) - [j11]Setsuo Ohsuga:
Knowledge Science. New Gener. Comput. 12(1): 1-5 (1993) - [c10]Ning Zhong, Setsuo Ohsuga:
A Decomposition Based Induction Model for Discovering Concept Clusters from Databases. ALT 1993: 384-397 - [c9]Ning Zhong, Setsuo Ohsuga:
An Integrated Calculation Model for Discovering Functional relations from Databases. DEXA 1993: 213-220 - [c8]Ning Zhong, Setsuo Ohsuga:
HML - An Approach for Refining/Managing Knowledge Discovered from Databases. ICTAI 1993: 418-426 - [c7]Satoshi Kobayashi, Koichi Hori, Setsuo Ohsuga:
Learning Decision Lists over Tree Patterns and Its Application. IJCAI 1993: 995-1001 - [c6]Chunye Li, Setsuo Ohsuga:
A Meta Knowledge Structure for Program Development Support. SEKE 1993: 649-656 - 1992
- [j10]Soundar R. T. Kumara, Setsuo Ohsuga, Inyong Ham:
Artificial Intelligence in Manufacturing: Preface. Appl. Artif. Intell. 6(3) (1992) - [j9]Soundar R. T. Kumara, Inyong Ham, Setsuo Ohsuga, Costas Tsatsoulis, R. Ramesh, Victor Frost, Rangasami L. Kashyap:
Intelligent computer integrated manufacturing (I-CIM): Research perspectives. Appl. Artif. Intell. 6(4): 529-552 (1992) - [j8]Satoshi Kobayashi, Setsuo Ohsuga, Koichi Hori, Toshiyuki Yamauchi:
A method of acquiring strategies and classifying knowledge from trace data. Syst. Comput. Jpn. 23(5): 83-93 (1992) - 1991
- [j7]Tatsuya Akutsu, Einoshin Suzuki, Setsuo Ohsuga:
Logic-based approach to expert systems in chemistry. Knowl. Based Syst. 4(2): 103-116 (1991) - 1990
- [j6]Hiroyuki Yamauchi, Setsuo Ohsuga:
Losse Coupling of KAUS with Existing RDBMSs. Data Knowl. Eng. 5: 227-251 (1990) - [j5]Setsuo Ohsuga:
Framework of knowledge-based systems : Multiple meta-level architecture for representing problems and problem-solving processes. Knowl. Based Syst. 3(4): 204-214 (1990) - [e2]Setsuo Arikawa, Shigeki Goto, Setsuo Ohsuga, Takashi Yokomori:
Algorithmic Learning Theory, First International Workshop, ALT '90, Tokyo, Japan, October 8-10, 1990, Proceedings. Springer/Ohmsha 1990, ISBN 3-540-19661-7 [contents]
1980 – 1989
- 1989
- [c5]Atsuhiro Takasu, Y. Itoh, Seiji Futatsugi, Setsuo Ohsuga:
Intelligent Wing Design Support System. SCAI 1989: 221-235 - 1988
- [c4]Tatsuya Akutsu, Setsuo Ohsuga:
CHEMILOG - A Logic Programming Language/System for Chemical Information Processing. FGCS 1988: 1176-1183 - 1987
- [j4]Setsuo Ohsuga:
Intelligent problem-solving system based on model building method. Syst. Comput. Jpn. 18(6): 71-88 (1987) - 1986
- [j3]Setsuo Ohsuga:
Artificial Intelligence as New Gneration Computing Technology. New Gener. Comput. 4(3): 223-224 (1986) - [e1]Wesley W. Chu, Georges Gardarin, Setsuo Ohsuga, Yahiko Kambayashi:
VLDB'86 Twelfth International Conference on Very Large Data Bases, August 25-28, 1986, Kyoto, Japan, Proceedings. Morgan Kaufmann 1986, ISBN 0-934613-18-4 [contents] - 1985
- [j2]Setsuo Ohsuga, Hiroyuki Yamauchi:
Multi-Layer Logic - A Predicate Logic Including Data Structure as Knowledge Representation Language. New Gener. Comput. 3(4): 403-439 (1985) - 1983
- [j1]Setsuo Ohsuga:
Knowledge-based man-machine systems. Autom. 19(6): 685-691 (1983) - [c3]Setsuo Ohsuga:
Predicate Logic Involving Data Structure as a Knowledge Representation Language. IJCAI 1983: 391-394
1970 – 1979
- 1979
- [c2]Setsuo Ohsuga:
Theoretical Basis for a Knowledge Representation System. IJCAI 1979: 676-683 - 1973
- [c1]Setsuo Ohsuga:
An Information-Structure Based Method for Extracting Meaning from Input Sentence. COLING 1973: 659-686
Coauthor Index
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