Papers

(updated: 28 Oct 1999)
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(Including Japanese Papers: their titles are described in Japanese: please ignore them if you cannot read Japanese characters.)

[Rough Sets]

1. Rough集合理論による診断知識の自動生成.
津本周作,田中博
日本ME学会誌"BME" {\bf 7}, 44-50, 1993.

2. Tsumoto,S. and Tanaka,H.
Induction of Probabilistic Rules based on Rough Set Theory.
{\it Algorithmic Learning Theory}-93, Springer Verlag, Berlin,
LNAI-744, pp. 441-448, 1993.

3. Tsumoto,S. and Tanaka,H.
Probabilistic Rule Induction Method based on
Rough Sets and Resampling Methods,
{\it Proceeidngs of 1st World Conference on
Medical Physics and Biomedical Engnieering}, 1994.

4. Tsumoto, S. and Tanaka, H.
Selection of Probabilistic Measure Estimation Method
based on Recursive Iteration of Resampling Methods,
{\it Proceedings of Knowledge Discovery in Databases(KDD-94)},
121-132, AAAI Press, CA, 1994.

5. Tsumoto, S. and Tanaka, H.
PRIMEROSE: Probabilistic Rule Induction Method based on Rough Sets.
in: Ziarko, W.(ed) {\it Rough Sets, Fuzzy Sets, and
Knowledge Discovery}, pp. 274-281, Springer, London, 1994.

6. Tsumoto, S. and Tanaka, H.
AQ, Rough Sets and Matroid Theory
in: Ziarko, W.(ed) {\it Rough Sets, Fuzzy Sets, and
Knowledge Discovery}, pp. 290-298, Springer, London, 1994.

7. Tsumoto, S. and Tanaka, H.
IPLM: A Medical Decision-Making System Based on Planning and
Learning Methods.
{\it Proceedings of Workshop on Planning and Learning: On to
Real Applications}, 149-155, AAAI Press, CA, 1994.

8. Tsumoto, S. and Tanaka, H.
Characterization of Relevance and Irrelevance in
Empirical Learning Methods.
{\it Proceedings of Workshop on Relevance}, 197-200,
AAAI Press, CA, 1994.

9. Tsumoto,S. and Tanaka,H.
Induction of Medical Expert System Rules based on
Rough Sets and Resampling Methods
Tsumoto,S. and Tanaka,H.
{\it Proceedings of the Eighteenth Annual Symposium on
Computer Applications in Medical Care},
({\it Journal of the AMIA} {\bf 1}, supplement),
pp.1066-1070, 1994.

10. Tsumoto,S. and Tanaka,H.
Algebraic Specification of Empirical Inductive Learning Methods
based on Rough Sets and Matroid Theory.
in: Calmet, J. and Campbell, J.A. (eds.)
Integrating Symbolic Mathematical Computation and
Artificial Intelligence,
Lecture Notes in Computer Science {\bf 958}, pp. 224-243, Springer
Berlin, 1995.

11. Tsumoto, S. and Tanaka, H.
PRIMEROSE: Probabilistic Rule Induction Method based on
Rough Sets and Resampling Methods.
{\it Computational Intelligence}, {\bf 11},
389-405, 1995.

12. Tsumoto, S. and Tanaka, H.
A Common Framework of Empirical Learning Methods
based on Rough Sets and Matroid Theory.
{\it Fundamentae Informaticae}, pp. 273-288, 1996.

13. Tsumoto, S. and Tanaka, H.
PRIMEROSE3: Induction and Estimation of Probabilistic Rules
from Medical Databases Based on Rough Sets and Resampling Methods.
Witten, M.(ed), {\it Computational Medicine, Public Health,
and Biotechnology. Buildng a Man in the Machine(Part III)},
World Scientific, Singapore, pp. 1173-1189, 1996.

14. Tsumoto,S. and Tanaka,H.
Characterization of Structure of Decision Trees
based on Rough Sets and Greedoid Theory
{\it Proceedings of the Workshop on Rough Sets and
Soft Computing~({\bf RSSC-94}),
Lin, T.Y., and Wildberger, A.M.(ed.)
{\it Soft Computing}, pp. 271-275, SCS, 1995.

15. Tsumoto,S. and Tanaka,H.
Extraction of Expert System Rules based on
Rough Sets and Resampling Methods
{\it MEDINFO'95}, Part 1, pp. 861-865, IMIA, Geneva,
1995.}

16. Tsumoto,S. and Tanaka,H.
Characterization of Structure of Decision Trees
based on Rough Sets and Greedoid Theory. Proceedings of RSSC94, 1994.

17. Tsumoto, S. and Tanaka, H.
Induction of Expert System Rules based on
Rough Sets and Resampling Methods
Presented in {\it Machine Intellgience}, {\bf 15}, 1995.

18. Tsumoto, S., Ziarko, W., Shan, N., Tanaka, H.
Knowledge Discovery in Clinical Databases
based on Variable Precision Rough Set Model
{\it Proceedings of the Eighteenth Annual Symposium on
Computer Applications in Medical Care},
({\it Journal of the AMIA} {\bf 2}, supplement),
pp.270-274, 1995.

19. Tsumoto, S.
Automated Induction of Medical Expert
System Rules from Clinical Databases based on Rough Set Theory
Journal of Information Sciences 112, 67-84, 1998.

20. Tsumoto, S. and Tanaka, H.
Algebraic Formulation of Empirical Learning Methods
based on Rough Sets and Matroid Theory.
in: De Glas, M. and Pawlak, Z. (eds.),
{\it Proceedings of Second World Conference on the
Fundamentals of Artificial Intelligence},
Angkor, Paris, pp.393-404, 1995.

21. Tsumoto, S. and Tanaka, H.
Algebraic Formulation of Machine Learning Methods
based on Rough Sets, Matroid Theory, and Combinatorial Geometry.
Lin, T.Y., and Cercone, N. (eds.)
Rough Sets and Data Mining. Kluwer, 1997.

22. Tsumoto, S. and Tanaka, H.
Automated Acquisition of Medical Expert System Rules
based on Rogh Sets and Resampling Methods.
Kyu Lee, J., Liebowitz, J., Chae, Y.M.(eds).
Critical Technology, pp. 877-884, Cognizant Communication Corporation,
New York, 1996.

23. 中村昭, 津本周作, 田中博, 小林聡:
ラフ集合理論とその応用.
人工知能学会誌. {\bf 11}, 209-215, 1996.

24. 津本周作,田中博:
Rough集合理論と交叉検証法に基づく
医療知識の自動獲得システムの開発.
医療情報学 16(2): 91-99, 1996.

25. Tsumoto, S. and Tanaka, H.
Automated Extraction of Expert System Rules from Databases
based on Rough Set Theory,
Michalski, R.S., and Wnek, J. (eds)
Proceedings of the Third International Workshop on
Multistrategy Learning, pp. 313-324, AAAI press, CA, 1996.

26. Tsumoto, S. and Tanaka, H.
Induction of Expert System Rules from Databases
based on Rough Set Theory and Resampling Methods,
Proceedings of ISMIS,
LNAI, Berlin, 1996. 128-138

27. Tsumoto, S. and Ziarko, W.
The Application of Rough Sets-Based Data Mining Technique to
Differential Diagnosis of Meningoenchepahlitis.
Proceedings of ISMIS,
LNAI, Berlin, 1996. 438-447

28. Tsumoto, S. and Tanaka, H.
Incremental Learning of Probabilistic Rules
from Clinical Databases based on Rough Set Theory,
Proceeding of Sixth International Conference on
Information Processing and Management of Uncertainty in
Knowledge-Based Systems, pp. 1457-1482, Universidad de
Granada, Granada, 1996.

29. Tsumoto, S. and Tanaka, H.
Automated Induction of Medical Expert System Rules
from Clinical Databases based on Rough Sets.
Proceeding of Sixth International Conference on
Information Processing and Management of Uncertainty in
Knowledge-Based Systems, pp. 1475-1482, Universidad de
Granada, Granada, 1996.

30. Tsumoto, S. and Tanaka, H.
Extraction of Domain Knowledge from Clinical Databases
based on Rough Set Model.
Proceedings of CESA-96, IEEE press, Lille, 1996.

31. Tsumoto, S. and Tanaka, H.
Automated Discovery of Medical Expert System
Rules from Clinical Databases based on Rough Sets.
Proceedings of the Second International Conference on
Knowledge Discovery and Data Mining 96, AAAI Press, CA,
pp.63-69, 1996.

32. Tsumoto, S. and Tanaka, H.
Incremental Learning of Probabilistic Rules
from Clinical Databases based on Rough Set Theory.
Proceedings of IDAMAP-96, 1996.

33. Tsumoto, S. and Tanaka, H.
Automated Extraction of Medical Expert System
Rules from Clinical Databases.
Proceedings of IDAMAP-96, 1996.

34. Tsumoto, S. and Tanaka, H.
Selection and Induction of Diagnostic Model
based on Rough Set Theory.
Proceedings of RSFD96, 1996.

35. Tsumoto, S. and Tanaka, H.
Extraction of Diagnostic Knowledge from Clinical Databases
based on Rough Set Theory.
Proceedings of AFSS96, 1996.

36. Tsumoto, S. and Tanaka, H.
Extraction of Domain Knowledge from
Databases based on Rough Set Theory.
IEEE Conference on Fuzzy Systems 1996. (IEEE-FUZZ96)
490-495

37. PAKDD

38.
Incremental Induction of Probabilistic
Rules from Clinical Databases based on Rough Sets.
Shusaku Tsumoto and Hiroshi Tanaka
The Fourth Joint Conference on Information Sciences
(RSSC97), 1997.

39.
An Application of Reduct Networks to Medicine.
Dominik Slezak, Marcin Szczuka and Shusaku Tsumoto
The Fourth Joint Conference on Information Sciences
(RSSC97), 1997.

40. Extraction of Experts' Decision Process
from Clinical Databases using Rough Set Model
Shusaku Tsumoto
First International Workshop on
Principles of Knowledge Discovery in Databases(PKDD'97).

41. Domain Experts' Interpretation of Rules
Induced from Clinical Databases
Shusaku Tsumoto
Fourth International Conference on Intelligent Systems
and Soft Computing (EUFIT97), 1997.

42.
Shusaku Tsumoto: Induction of Positive and Negative Deterministic
Rules based on Rough Set Model. ISMIS 1997: 298-307

43.
Tsumoto, S. and Tanaka, H.
Incremental Learning of Probabilistic Rules
from Clinical Databases based on Rough Set Theory.
Journal of AMIA 4 (Supplement), 198-202, 1997.

44.
津本周作, 田中博
データマイニングの医療応用.
人工知能学会誌, 12, 536-543, 1997.

45. RSSC-97 Article
( RSFD Machine Discovery)

46.( Skowron Polkowski Book) Tsumoto, S.
Formalization and Induction of Medical Expert System Rules
based on Rough Set Theory. In:
Skowron, A. and Polkowski, L. (eds.)
Rough Sets in Data Mining, Physical Verlag, 1998.

47.( Skowron Pal Book ) Tsumoto, S.
Induction of Expert Decision Rules
using Rough Sets and Set-Inclusion.

48. Tsumoto, S.
Extraction of Experts' Decision Rules
from Clinical Databases using Rough Set Model
Journal of Intelligent Data Analysis, 2(3), 215-227, 1998.

50. Tsumoto, S.
Automated Knowledge Acquisition from Clinical Databases
and its Evaluation
MEDINFO98, 649-653, 1998 (IOS Press).

51. Tsumoto, S.
Automated Knowledge Acquisition based on Rough Sets and
Attribute-Oriented Generalization
JAMIA 5 (Supplement), 548-552, 1998.

(WCCI98)
52. Tsumoto, S.
Knowledge Discovery in Medical Databases based on Rough Sets
and Attribute-Oriented Generalization,
FUZZ-IEEE'98, pp. 490-495, 1998.

(RSCTC98)
53. Tsumoto, S.
Modelling Medical Diagnostic Rules based on Rough Sets.
Rough Sets and Current Trends in Computing,
LNAI 1424, pp.475-482, 1999.

[Rough Sets and Scientific Discovery]

1. Tsumoto,S. and Tanaka,H.
Discovery of Functional Components of Proteins based on
PRIMEROSE and Domain Knowledge Hierarchy
{\it Proceedings of the Workshop on Rough Sets and
Soft Computing}~({\bf RSSC-94}), SCS, 1995.
Lin, T.Y., and Wildberger, A.M.(ed.)
{\it Soft Computing}, pp. 280-285, SCS, 1995.

2. Tsumoto,S. and Tanaka,H., Tsumoto, K., and Kumagai, I.
Comparative Analysis of Amino Acid Sequences based on
Rough Sets and Domain Knowledge Hierarchy
{\it Proceedings of Genome Informatics Workshop 1994},
pp. 59-69, Universal Academy Press, Tokyo, 1994.

3.Tsumoto,S. and Tanaka,H.
Discovery of Functional Components of Proteins
from Amino-acid sequences based on Hierarchical Reasoning
{\it Proceedings of the Workshop on Scientic Discovery}
(AAAI 95 Spring Symposium), AAAI Press, CA, pp.160-165, 1995.

4. Tsumoto,S. and Tanaka,H.
Automated Discovery of Functional Components of
Proteins from Amino-acid sequences based on
Rough Sets and Change of Representation.
Proceedings of the First International Conference on
Knowledge Discovery and Data Mining 95, AAAI Press, CA, pp.318-324, 1995.

5. Tsumoto,S. and Tanaka,H.
Machine Discovery of Functional Components of
Proteins from Amino-acid sequences based on
Rough Sets and Change of Representation
Journal of Intelligent Automation
and Soft Computing 2, pp. 169-180, 1996.

6. Tsumoto, S. and Tanaka, H.
Automated Discovery of Protein Functional Units
from Amino-acid sequences using
Rough-Sets-based Comparative Analysis.
{\it Proceeedings of Workshop on Genome Informatics 1995},
pp. 57-66, Universal Academy Press, Tokyo, 1995.

7. Tsumoto, S. and Tanaka, H.
Comparative Analysis of Amino-acid sequences
based on Rough Set Theory and Change of Representation.
Michalski, R.S., and Wnek, J. (eds)
Proceedings of the Third International Workshop on
Multistrategy Learning, pp. 325-331, AAAI press, CA, 1996.

8. Tsumoto, S. and Tanaka, H.
Comparative Analysis of Amino Acid Sequences of Proteins
using Rough Sets and Change of Representation.
Proceedings of the International Conference on Induction, Statistics
and Information Science, 1996.

[Functional Reasoning]

1. Tsumoto, S., and Tanaka, H.
RS-QUAD: Reasoning System based on Qualitative
Dynamics of Diseases' Progression, Proceedings of
AIM-94, pp. 165-168,
AAAI Technical Report Series, AAAI press, CA, 1994.
(AAAI press より論文集として出版)

2. Tsumoto, S., and Tanaka, H.
RS-QUAD: Reasoning System based on Qualitative
Dynamics of Diseases' Progression and Augmented Cell
Automata Model.
{\it Proceedings ofJapan and CIS binational conference on
Knowledge-Based Soft-Engineering}, 186-194, 1994.

3. Tsumoto, S., and Tanaka, H.
Functional Reasoning based on
Morphological Hierarchies and
Qualitative Dynamics of Diseases' Progression,
Proceedings of Workshop on Reasoning and Representation
about Device Function, AAAI Technical Report Series, pp.143-153,
AAAI Press, CA, 1994.
(AAAI pressより論文集として出版)

4. Tsumoto, S. and Tanaka, H.
Hierarchical Representation and Reasoning about
Part$-$Whole Relations in Medical Domains.
{\it Proceedings of Workshop on Part-Whole Relations},
ECAI, 1994.

5. Tsumoto, S. and Tanaka, H.
Morphological Hierarchy as Functional Representation
in Medical and Biological domain.
{\it Proceedings of IJCAI-95 Workshop on Device and Function},
1995.

6. Tsumoto, S. and Tanaka, H.
Measurement Interpretation of Medical Laboratory Data based on
RS-QUAD, Proceedings of FLAIR-96, pp.364-368,
Florida Artificial Intelligence Research Society, FL, 1996.

7. AAAI-96

[Sampling]

1. Tsumoto, S. and Tanaka, H.
Automated Empirical Selection of Rule Induction Methods
based on Recursive Iteration of Resampling Methods and
Multiple testing.
Proceedings of the First International Conference on
Knowledge Discovery and Data Mining 95, AAAI Press, CA, pp.325-330, 1995.

[AIM]

1. COBRA: Integration of Knowledge-Bases with Case-Databases in
the Domain of Congenital Malformation.
Tsumoto, S., Tanaka, H., Amano, H., Ohyama, K., and Kuroda, T.
in: Barahona, P., Stefanelli, M., and Wyatt, J.(eds.)
Artificial Intelligence in Medicine,
Lecture Notes in Artificial Intelligence 934,
Springer Verlag, Berlin, pp.393-394, 1995.

2. Induction of Expert System Rules based on
Rough Sets and Resampling Methods.
Tsumoto, S., Tanaka, H., Amano, H., Ohyama, K., and Kuroda, T.
in: Barahona, P., Stefanelli, M., and Wyatt, J.(eds.)
Artificial Intelligence in Medicine,
Lecture Notes in Artificial Intelligence 934,
Springer Verlag, Berlin, pp.399-400, 1995.

[Databases]
1. Integration of Heterogeneous Knowledge-Bases in Medical Domain.
Tsumoto, S. and Tanaka, H.
{\it Proceedings of Workshop on Heterogenous Cooperative
Knowledge-Bases}, pp.189-201, 1994.
(Springer-Verlagより出版の予定)

3. Description of Clinical Cases of Congenital Anomalies
based on Object-oriented Scheme.
Tsumoto, S., Tanaka, H., Amano, H., Ohyama, K., and Kuroda, T.
情報処理学会データベースシステム研究会 105-4: 23-30, 1995.

4. COBRA2: Medical Decision Support System
based on Object-oriented Databases.
Tsumoto, S., Tanaka, H., Amano, H., Ohyama, K., and Kuroda, T.
Proceedings of Multimedia Japan 96, pp.295-302,
Information Processing Society of Japan, Tokyo, 1996.

5. Shusaku Tsumoto
A Decison Support System based on Congenital Malformation
Image Databases
Biomedical Image Databases, Kluwer Academic,1998.

[Neuro]

1. Tsumoto, S. and Tanaka, H.
Computational Analysis of Acquired Dyslexia of Chinese Characters
based on Neural Networks.
{\it Proceedings of Workshop on Neural Modelling on Cognitive Disorders},
pp.30, 1995.

[Alife]

1. Tsumoto, S. and Tanaka, H.
Computational Analysis of Acquired Dyslexia of
Kanji Characters based on Neural Networks.
Proceedings of the First International Symposium on
Artifical Life and Robots, pp. 6-9, 1996.

2. Suzuki, Y. Tsumoto, S. and Tanaka, H.
Computational Study on Cyclic Structure
using Abstract Rewriting System on Multisets.
Proceedings of the First International Symposium on
Artifical Life and Robots, pp. 38-41, 1996.

3. Suzuki, Y. Tsumoto, S. and Tanaka, H.
Analysis of Cycles in Symbolic Chemical System based on Abstract
Rewriting System on Multisets.
Proceedings of International Conference on Artificial Life 5 (Alife 5),
pp. 482-489. 1996.

[Expert System]

1. Matsumura,Y., Matsunaga,T., Kimura,M., Maeda,Y., Tsumoto,S.,
Matsumura,H.: Consultation System for Diagnosis of
Headache and Facial Pain: "RHINOS". LP 1985: 287-298
Proceedings of Logic Programming Conference-85,
Springer Verlag, Berlin, 1985, 287-298.

2. 松村泰志,松永隆,木村道男,前田祐輔,津本周作,松村浩:
診断過程のシミュレーション-頭痛・顔面痛診断支援システム RHINOS.
医療情報学 7(2),183-190,1987.

[QR]

1. Tanaka,H. and Tsumoto,S.:
Temporally-hierarchial Qualitative Reasoning and
its Application to Medicine.
in: Proceedings of Logic Programming Conference-88,
pp. 11-17,Springer Verlag,Berlin,1988.
%
2. 田中博,津本周作:
定性推論システム　ＭＡＴ ( Monitored Analyzer for Transition ).
定性推論,207-242,共立出版 1989.

3. QR-95

[Clinical]

1. 津本周作,遠間直人,木内一郎,渋谷正徳,小松隆行,北野邦孝:
ウィルス性髄膜脳炎の予後に及ぼす因子の検討.
日救急医会関東誌 {\bf 12},710-711,1991.
%
2. 遠間直人,木内一郎,塩野茂,津本周作,有賀直文,渋谷正徳:
解離性椎骨・脳底動脈瘤の１例.
日救急医会関東誌 {\bf 12},698-699,1991.

[Obj ?]

1. Tsumoto,S.,Tanaka,H. and Satomura,Y.:
Extraction of Temporal Knowledge from Patient Records.
in:MEDINFO 92,North Holland,1992.

[Etc]

知識科学の新展開 オーム社 1996
田中博, 津本周作
(集合理論に基づく帰納学習 )

総合診療 (最新内科学体系 プログレス1) 中山書店 1998
高林克日己, 山崎俊司, 津本周作
内科学とコンピュータ