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Volumn 5, Issue 6, 2001, Pages 445-461

Inductive learning from numerical and symbolic data: An integrated framework

Author keywords

[No Author keywords available]

Indexed keywords

CALCULATIONS; DATA HANDLING; EFFICIENCY; INFORMATION ANALYSIS; KNOWLEDGE REPRESENTATION; MACHINE LEARNING; PROBABILITY DISTRIBUTIONS; PROCESSING; STATISTICS;

EID: 0345028831     PISSN: 1088467X     EISSN: 15714128     Source Type: Journal    
DOI: 10.3233/ida-2001-5602     Document Type: Article
Times cited : (4)

References (30)
  • 4
    • 85009499689 scopus 로고
    • Constructive learning with continuous-valued attributes
    • Uncertainty and Intelligent Systems, B. Bouchon L. Saitta and R.R. Yager, eds Springer-Verlag, Berlin
    • F. Bergadano and R. Bisio, Constructive learning with continuous-valued attributes, in: Uncertainty and Intelligent Systems, B. Bouchon, L. Saitta and R.R. Yager, eds, Lecture Notes in Computer Science, 313, Springer-Verlag, Berlin, 1988, pp. 154-162.
    • (1988) Lecture Notes in Computer Science , vol.313 , pp. 154-162
    • Bergadano, F.1    Bisio, R.2
  • 5
    • 33846976002 scopus 로고    scopus 로고
    • Analysis of Symbolic Data. Exploratory methods for extracting statistical information from complex data
    • Springer-Verlag
    • H.H. Bock and E. Diday, Analysis of Symbolic Data. Exploratory methods for extracting statistical information from complex data, Series: Studies in Classification, Data Analysis and Knowledge Organization, vol. 15, Springer-Verlag, 2000.
    • (2000) Series: Studies in Classification, Data Analysis and Knowledge Organization , vol.15
    • Bock, H.H.1    Diday, E.2
  • 6
    • 0342684934 scopus 로고
    • Learning quantitative features in a symbolic environment
    • Methodologies for Intelligent Systems, Z.W. Ras and M. Zemankova eds Springer-Verlag, Berlin
    • M. Botta and A. Giordana, Learning quantitative features in a symbolic environment, in: Methodologies for Intelligent Systems, Z.W. Ras and M. Zemankova, eds, Lecture Notes in Artificial Intelligence, 542, Springer-Verlag, Berlin, 1991, pp. 296-305.
    • (1991) Lecture Notes in Artificial Intelligence , vol.542 , pp. 296-305
    • Botta, M.1    Giordana, A.2
  • 8
    • 0033877739 scopus 로고    scopus 로고
    • Refining numerical constants in first order logic theories
    • M. Botta and R. Piola, Refining Numerical Constants in First Order Logic Theories, Machine Learning 38(1/2) (2000), 109-132.
    • (2000) Machine Learning , vol.38 , Issue.1-2 , pp. 109-132
    • Botta, M.1    Piola, R.2
  • 9
  • 10
    • 84883666638 scopus 로고
    • Knowledge representation and symbolic data analysis
    • M. Schader and W. Gaul, eds, Springer- Verlag, Berlin
    • E. Diday, Knowledge representation and symbolic data analysis, in: Knowledge, Data and Computer-Assisted Decisions, M. Schader and W. Gaul, eds, Springer-Verlag, Berlin, 1990, pp. 17-34.
    • (1990) Knowledge, Data and Computer-Assisted Decisions , pp. 17-34
    • Diday, E.1
  • 11
    • 0002021289 scopus 로고
    • Des objets de l'analyse des donńees ̀a ceux de l'analyse des connaissance
    • Y. Kodratoff and E. Diday eds Ćepadùes-́ Editions, Toulouse
    • E. Diday, Des objets de l'analyse des donńees ̀a ceux de l'analyse des connaissance, in: Induction symbolique et nuḿerique ̀a partir de donńees, Y. Kodratoff and E. Diday, eds, Ćepadùes-́ Editions, Toulouse, 1991.
    • (1991) Induction Symbolique et Nuḿerique ̀a Partir de Donńees
    • Diday, E.1
  • 12
    • 84948981620 scopus 로고
    • Handling real numbers in ILP: A step towards better behavioural clones (extended abstract)
    • Lecture Notes in Artificial Intelligence N. Lavrac and S. Wrobel, eds Springer, Berlin
    • S. Dzeroski, L. Todorovski and T. Urbancic, Handling real numbers in ILP: A step towards better behavioural clones (extended abstract), in: Machine Learning: ECML95, Lecture Notes in Artificial Intelligence, (Vol. 912), N. Lavrac and S. Wrobel, eds, Springer, Berlin, 1995, pp. 283-286.
    • (1995) Machine Learning: ECML95 , Issue.912 , pp. 283-286
    • Dzeroski, S.1    Todorovski, L.2    Urbancic, T.3
  • 14
    • 0343555117 scopus 로고
    • Incorporating statistical techniques into empirical symbolic learning systems
    • D.J. Hand, ed Chapman & Hall, London
    • F. Esposito, D. Malerba and G. Semeraro, Incorporating statistical techniques into empirical symbolic learning systems, in: Artificial Intelligence Frontiers in Statistics, D.J. Hand, ed., Chapman & Hall, London, 1993, pp. 168-181.
    • (1993) Artificial Intelligence Frontiers in Statistics , pp. 168-181
    • Esposito, F.1    Malerba, D.2    Semeraro, G.3
  • 19
    • 0242274806 scopus 로고    scopus 로고
    • Amultistrategy approach to learning multiple dependent concepts
    • C. Taylor and R. Nakhaeizadeh, eds Wiley, London
    • D. Malerba, G. Semeraro and F. Esposito, Amultistrategy approach to learning multiple dependent concepts, in: Statistics and Machine Learning: The Interface, C. Taylor and R. Nakhaeizadeh, eds, Wiley, London, 1996, pp. 87-106.
    • (1996) Statistics and Machine Learning: The Interface , pp. 87-106
    • Malerba, D.1    Semeraro, G.2    Esposito, F.3
  • 20
    • 0012764864 scopus 로고    scopus 로고
    • Learning recursive theories with ATRE
    • Brighton, UK
    • D. Malerba, F. Esposito and F.A. Lisi, Learning recursive theories with ATRE, in Proc. of ECAI '98, Brighton, UK, 1998, pp. 434-439.
    • (1998) Proc. Of ECAI '98 , pp. 434-439
    • Malerba, D.1    Esposito, F.2    Lisi, F.A.3
  • 22
    • 77951503082 scopus 로고
    • Inverse entaiment and progol
    • S. Muggleton, Inverse Entaiment and Progol, New Generation Computing 13 (1995), 245-286.
    • (1995) New Generation Computing , vol.13 , pp. 245-286
    • Muggleton, S.1
  • 25
    • 0001172265 scopus 로고
    • Learning logical definitions from relations
    • R. Quinlan, Learning logical definitions from relations, Machine Learning 5 (1990), 239-266.
    • (1990) Machine Learning , vol.5 , pp. 239-266
    • Quinlan, R.1
  • 26
    • 8844252892 scopus 로고
    • FOIL: A midterm report
    • Lecture Notes in Artificial Intelligence P.B. Brazdil, ed., Springer-Verlag, Berlin
    • J.R. Quinlan and R.M. Cameron-Jones, FOIL: A midterm report, in: Machine Learning: ECML-93, Lecture Notes in Artificial Intelligence, (Vol. 667), P.B. Brazdil, ed., Springer-Verlag, Berlin, 1993, pp. 3-20.
    • (1993) Machine Learning: ECML-93 , Issue.667 , pp. 3-20
    • Quinlan, J.R.1    Cameron-Jones, R.M.2
  • 27
    • 84934555448 scopus 로고
    • Flattening and saturation: Two representation changes for generalization
    • C. Rouveirol, Flattening and saturation: Two representation changes for generalization, Machine Learning 14 (1994), 219-232.
    • (1994) Machine Learning , vol.14 , pp. 219-232
    • Rouveirol, C.1
  • 28
    • 0002666637 scopus 로고    scopus 로고
    • Constraint inductive logic programming
    • L. de Raedt, ed., IOS Press
    • M. Sebag and C. Rouveirol, Constraint inductive logic programming, in: Advances in ILP, L. de Raedt, ed., IOS Press, 1996.
    • (1996) Advances in ILP
    • Sebag, M.1    Rouveirol, C.2
  • 29
    • 0032687672 scopus 로고    scopus 로고
    • Numerical reasoning with an ILP system capable of lazy evaluation and customised search
    • A. Srinivasan and R.C. Camacho, Numerical reasoning with an ILP system capable of lazy evaluation and customised search, Journal of Logic Programming 40 (1999), 185-214.
    • (1999) Journal of Logic Programming , vol.40 , pp. 185-214
    • Srinivasan, A.1    Camacho, R.C.2
  • 30
    • 84947432924 scopus 로고    scopus 로고
    • Learning structurally indeterminate clauses, in
    • Lecture Notes in Artificial Intelligence D. Page, ed., Springer-Verlag
    • J.-D. Zucker and J.-G. Ganascia, Learning structurally indeterminate clauses, in: Proc. of the 8th Int. Conference on Inductive Logic Programming, Lecture Notes in Artificial Intelligence 1446, D. Page, ed., Springer-Verlag, 1998, pp. 235-244.
    • (1998) Proc. Of the 8th Int. Conference on Inductive Logic Programming , vol.1446 , pp. 235-244
    • Zucker, J.-D.1    Ganascia, J.-G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.