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Volumn 42, Issue 1-2, 2001, Pages 61-95

Confirmation-guided discovery of first-order rules with Tertius

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONSTRAINT THEORY; DATA REDUCTION; DATABASE SYSTEMS; HEURISTIC METHODS; KNOWLEDGE ACQUISITION; LOGIC PROGRAMMING;

EID: 0034832530     PISSN: 08856125     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1007656703224     Document Type: Article
Times cited : (99)

References (27)
  • 1
    • 84949204017 scopus 로고    scopus 로고
    • Refinement operators can be (weakly) perfect
    • S. Džeroski and P. Flach (Eds.), Proceedings of the 9th International Workshop on Inductive Logic Programming, Springer-Verlag
    • Badea, L. & Stanciu, M. (1999). Refinement operators can be (weakly) perfect. In S. Džeroski and P. Flach (Eds.), Proceedings of the 9th International Workshop on Inductive Logic Programming, volume 1634 of Lecture Notes in Artificial Intelligence, (pp. 21-32). Springer-Verlag.
    • (1999) Volume 1634 of Lecture Notes in Artificial Intelligence , vol.1634 , pp. 21-32
    • Badea, L.1    Stanciu, M.2
  • 2
    • 0342715976 scopus 로고    scopus 로고
    • Background knowledge in the Tertius first-order knowledge discovery tool
    • Department of Computer Science, University of Bristol, March 1999
    • Dahl, T. S. (1999). Background knowledge in the Tertius first-order knowledge discovery tool. Technical Report CSTR-99-006, Department of Computer Science, University of Bristol, March 1999.
    • (1999) Technical Report CSTR-99-006
    • Dahl, T.S.1
  • 3
    • 0343150490 scopus 로고    scopus 로고
    • Multiple predicate learning in two inductive logic programming settings
    • De Raedt, L. & Lavrač, N. (1996). Multiple predicate learning in two inductive logic programming settings. Journal on Pure and Applied Logic, 4(2), 227-254.
    • (1996) Journal on Pure and Applied Logic , vol.4 , Issue.2 , pp. 227-254
    • De Raedt, L.1    Lavrač, N.2
  • 4
    • 0031198976 scopus 로고    scopus 로고
    • Logical settings for concept learning
    • De Raedt, L. (1997). Logical settings for concept learning. Artificial Intelligence 95(1), 187-201.
    • (1997) Artificial Intelligence , vol.95 , Issue.1 , pp. 187-201
    • De Raedt, L.1
  • 5
    • 0031073733 scopus 로고    scopus 로고
    • Clausal discovery
    • De Raedt, L. & Dehaspe, L. (1997). Clausal discovery. Machine Learning, 26(2/3), 99-146.
    • (1997) Machine Learning , vol.26 , Issue.2-3 , pp. 99-146
    • De Raedt, L.1    Dehaspe, L.2
  • 6
    • 84957890121 scopus 로고    scopus 로고
    • Mining association rules in multiple relations
    • S. Džeroski & N. Lavrač (Eds.), In Proceedings of the 7th International Workshop on Inductive Logic Programming, Springer-Verlag
    • Dehaspe L. & De Raedt, L. (1997). Mining association rules in multiple relations. In S. Džeroski & N. Lavrač (Eds.), In Proceedings of the 7th International Workshop on Inductive Logic Programming, volume 1297 of Lecture Notes in Artificial Intelligence (pp. 125-132). Springer-Verlag.
    • (1997) Volume 1297 ofLecture Notes in Artificial Intelligence , vol.1297 , pp. 125-132
    • Dehaspe, L.1    De Raedt, L.2
  • 9
    • 85028883412 scopus 로고
    • Predicate invention in inductive data engineering
    • Brazdil, P. (Ed.), Proceedings of the 6th European Conference on Machine Learning, Springer-Verlag
    • Flach, P. (1993). Predicate invention in inductive data engineering. In Brazdil, P. (Ed.), Proceedings of the 6th European Conference on Machine Learning, volume 667 of Lecture Notes in Artificial Intelligence (pp. 83-94). Springer-Verlag.
    • (1993) Volume 667 of Lecture Notes in Artificial Intelligence , vol.667 , pp. 83-94
    • Flach, P.1
  • 10
    • 84874455572 scopus 로고    scopus 로고
    • Strongly typed inductive concept learning
    • Page, D. (Ed.), Proceedings of the 8th International Conference on Inductive Logic Programming, Springer-Verlag
    • Flach, P., Giraud-Carrier, C., & Lloyd, J. (1998). Strongly typed inductive concept learning. In Page, D. (Ed.), Proceedings of the 8th International Conference on Inductive Logic Programming, volume 1446 of Lecture Notes in Artificial Intelligence (pp. 185-194). Springer-Verlag.
    • (1998) Volume 1446 of Lecture Notes in Artificial Intelligence , vol.1446 , pp. 185-194
    • Flach, P.1    Giraud-Carrier, C.2    Lloyd, J.3
  • 11
    • 84949227828 scopus 로고    scopus 로고
    • 1BC: A first-order Bayesian classifier
    • Džeroski, S. & Flach P. (Eds.), Proceedings of the 9th International Workshop on Inductive Logic Programming Springer-Verlag
    • Flach, P. & Lachiche, N. (1999a). 1BC: A first-order Bayesian classifier. In Džeroski, S. & Flach P. (Eds.), Proceedings of the 9th International Workshop on Inductive Logic Programming (pp. 92-103). volume 1634 of Lecture Notes in Artificial Intelligence, Springer-Verlag.
    • (1999) Volume 1634 of Lecture Notes in Artificial Intelligence , vol.1634 , pp. 92-103
    • Flach, P.1    Lachiche, N.2
  • 12
    • 0033350089 scopus 로고    scopus 로고
    • Database dependency discovery: A machine learning approach
    • Flach, P. & Savnik, I. (1999). Database dependency discovery: a machine learning approach. AI Communications, 72(3), 139-160.
    • (1999) AI Communications , vol.72 , Issue.3 , pp. 139-160
    • Flach, P.1    Savnik, I.2
  • 15
    • 0002192370 scopus 로고    scopus 로고
    • Explora: A multipattern and multistrategy discovery assistant
    • Fayyad, U., Piatetsky-Shapiro, G., Smyth, P., & Uthurusamy, R. (Eds.), AAAI Press
    • Klösgen, W. (1996). Explora: A multipattern and multistrategy discovery assistant. In Fayyad, U., Piatetsky-Shapiro, G., Smyth, P., & Uthurusamy, R. (Eds.), Advances in Knowledge Discovery and Data Mining (pp. 249-271). AAAI Press.
    • (1996) Advances in Knowledge Discovery and Data Mining , pp. 249-271
    • Klösgen, W.1
  • 16
    • 84949207526 scopus 로고    scopus 로고
    • Rule evaluation measures: A unifying view
    • Džeroski, S. & Flach, P. (Eds.), Proceedings of the 9th International Workshop on Inductive Logic Programming, Springer-Verlag
    • Lavrač, N., Flach, P., & Zupan, B. (1999). Rule evaluation measures: A unifying view. In Džeroski, S. & Flach, P. (Eds.), Proceedings of the 9th International Workshop on Inductive Logic Programming, volume 1634 of Lecture Notes in Artificial Intelligence (pp. 174-185). Springer-Verlag.
    • (1999) Volume 1634 of Lecture Notes in Artificial Intelligence , vol.1634 , pp. 174-185
    • Lavrač, N.1    Flach, P.2    Zupan, B.3
  • 19
    • 0002877253 scopus 로고
    • Discovery, analysis and presentation of strong rules
    • Piatetsky-Shapiro, G. and Frawley, W. (Eds.), AAAI Press
    • Piatetsky-Shapiro, G. (1991). Discovery, analysis and presentation of strong rules. In Piatetsky-Shapiro, G. and Frawley, W. (Eds.), Knowledge Discovery in Databases (pp. 229-249). AAAI Press.
    • (1991) Knowledge Discovery in Databases , pp. 229-249
    • Piatetsky-Shapiro, G.1
  • 20
    • 0001602577 scopus 로고
    • A note on inductive generalization
    • Edinburgh University Press
    • Plotkin, G. (1970). A note on inductive generalization. In Machine Intelligence (vol. 5, pp. 153-163). Edinburgh University Press.
    • (1970) In Machine Intelligence , vol.5 , pp. 153-163
    • Plotkin, G.1
  • 21
    • 0003203117 scopus 로고
    • A further note on inductive generalization
    • Edinburgh University Press
    • Plotkin, G. (1971). A further note on inductive generalization. In Machine Intelligence (vol. 6, pp. 101-124). Edinburgh University Press.
    • (1971) Machine Intelligence , vol.6 , pp. 101-124
    • Plotkin, G.1
  • 24
    • 0342280994 scopus 로고
    • Mutagenesis: ILP experiments in a non-determinate biological domain
    • Wrobel, S. (Ed.), Proceedings of the 4th International Workshop on Inductive Logic Programming Gesellschaft für Mathematik und Datenverarbeitung MBH
    • Srinivasan, A., Muggleton, S., King, R., & Sternberg, M. (1994). Mutagenesis: ILP experiments in a non-determinate biological domain. In Wrobel, S. (Ed.), Proceedings of the 4th International Workshop on Inductive Logic Programming (vol. 237 of GMD-Studien, pp. 217-232). Gesellschaft für Mathematik und Datenverarbeitung MBH.
    • (1994) Vol. 237 of GMD-Studien , vol.237 , pp. 217-232
    • Srinivasan, A.1    Muggleton, S.2    King, R.3    Sternberg, M.4
  • 25
    • 0042157820 scopus 로고
    • Inductive learning of relational productions
    • Waterman, D. & Hayes-Roth, F. (Eds.), Academic Press
    • Vere, S. A. (1978). Inductive learning of relational productions. In Waterman, D. & Hayes-Roth, F. (Eds.), Pattern-Directed Inference Systems (pp. 281-295). Academic Press.
    • (1978) Pattern-Directed Inference Systems , pp. 281-295
    • Vere, S.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.