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Volumn 95, Issue 1, 1997, Pages 95-111

Using machine learning techniques in the construction of models. II. Data analysis with rule induction

Author keywords

Artificial intelligence; Data analysis; Ecological modelling; Expert systems; Machine learning; Rule induction

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA ANALYSIS; EXPERT SYSTEM; MACHINE LEARNING; MODELLING;

EID: 0030618299     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0304-3800(96)00029-4     Document Type: Article
Times cited : (47)

References (30)
  • 3
    • 0003006556 scopus 로고
    • Estimating probabilities: A crucial task in machine learning
    • on Artificial Intelligence. Pitman, London
    • Cestnik, B., 1990. Estimating probabilities: A crucial task in machine learning. In: Proc. Ninth Eur. Conf. on Artificial Intelligence. Pitman, London, pp. 147-149.
    • (1990) Proc. Ninth Eur. Conf. , pp. 147-149
    • Cestnik, B.1
  • 4
    • 85015191605 scopus 로고
    • Rule induction with CN2: Some recent improvements
    • Proc. Fifth Eur. Springer, Berlin
    • Clark, P. and Boswell, R., 1991. Rule induction with CN2: Some recent improvements. In: Proc. Fifth Eur. Working Session on Learning. Springer, Berlin, pp. 151-163.
    • (1991) Working Session on Learning , pp. 151-163
    • Clark, P.1    Boswell, R.2
  • 5
    • 34249966007 scopus 로고
    • The CN2 induction algorithm
    • Clark, P. and Niblett, T., 1989. The CN2 induction algorithm. Mach. Learn., 3(4): 261-283.
    • (1989) Mach. Learn. , vol.3 , Issue.4 , pp. 261-283
    • Clark, P.1    Niblett, T.2
  • 8
    • 0002047785 scopus 로고    scopus 로고
    • Inductive logic programming and knowledge discovery in databases
    • ed. U. Fayyad, G. Piatetsky-Shapiro, P. Smyth and R. Uthurusamy, MIT Press, Cambridge, MA
    • Džeroski, S., 1996. Inductive logic programming and knowledge discovery in databases. In: ed. U. Fayyad, G. Piatetsky-Shapiro, P. Smyth and R. Uthurusamy, Advances in Knowledge Discovery and Data Mining. MIT Press, Cambridge, MA, pp. 118-152.
    • (1996) Advances in Knowledge Discovery and Data Mining , pp. 118-152
    • Džeroski, S.1
  • 11
    • 0026330208 scopus 로고
    • Qualitative reasoning about an ecological process: Interpretation in hydroecology
    • Guerrin, F., 1991. Qualitative reasoning about an ecological process: interpretation in hydroecology. Ecol. Modell., 59: 165-201.
    • (1991) Ecol. Modell. , vol.59 , pp. 165-201
    • Guerrin, F.1
  • 14
    • 0002467480 scopus 로고
    • Grundsatze für die biologische Beurteilung des wassers nach seiner Flora und Fauna
    • Kolkwitz, R. and Marsson, M., 1902. Grundsatze für die biologische Beurteilung des Wassers nach seiner Flora und Fauna. Mitt. Prüfungsanst. Wasserversorg. Äbwasserein, 1: 33-72.
    • (1902) Mitt. Prüfungsanst. Wasserversorg. Äbwasserein , vol.1 , pp. 33-72
    • Kolkwitz, R.1    Marsson, M.2
  • 15
    • 0028554214 scopus 로고
    • Using machine learning techniques in the construction of models. Part i: Introduction
    • Kompare, B., Bratko, I., Steinman, F. and Džeroski, S., 1994. Using machine learning techniques in the construction of models. Part I: Introduction. Ecol. Modell., 75-76: 617-628.
    • (1994) Ecol. Modell. , vol.75-76 , pp. 617-628
    • Kompare, B.1    Bratko, I.2    Steinman, F.3    Džeroski, S.4
  • 17
    • 0025803268 scopus 로고
    • Information-based evaluation criterion for classifier's performance
    • Kononenko, I. and Bratko, I., 1991. Information-based evaluation criterion for classifier's performance. Mach. Learn., 6(1): 67-80.
    • (1991) Mach. Learn. , vol.6 , Issue.1 , pp. 67-80
    • Kononenko, I.1    Bratko, I.2
  • 18
    • 0024738317 scopus 로고
    • Data-driven approaches to empirical discovery
    • Langley, P. and Z̄ytkow, J., 1989. Data-driven approaches to empirical discovery. Artif. Intell. 40: 283-312.
    • (1989) Artif. Intell. , vol.40 , pp. 283-312
    • Langley, P.1    Zytkow, J.2
  • 20
    • 23544453458 scopus 로고
    • BSc Thesis, Faculty of electrical engineering and computer science, University of Ljubljana, Slovenia, (in Slovenian)
    • Ličan-Miloševic̀, D., 1994. Analysis of water quality data by rule induction. BSc Thesis, Faculty of electrical engineering and computer science, University of Ljubljana, Slovenia, (in Slovenian).
    • (1994) Analysis of Water Quality Data by Rule Induction
    • Ličan-Miloševic̀, D.1
  • 21
    • 38249016642 scopus 로고
    • A rule-based water quality model for PC-environment
    • Meszaros, F., Varis, O., Sirvio, H. and Kettunen, J., 1990. A rule-based water quality model for PC-environment. Environ. Software, 5(3): 158-162.
    • (1990) Environ. Software , vol.5 , Issue.3 , pp. 158-162
    • Meszaros, F.1    Varis, O.2    Sirvio, H.3    Kettunen, J.4
  • 22
    • 85005299854 scopus 로고
    • The multi-purpose incremental learning system AQ15 and its testing application on three medical domains
    • Morgan Kaufmann, San Mateo, CA
    • Michalski, R., Mozetič, I., Hong, J. and Lavrač, N., 1986. The multi-purpose incremental learning system AQ15 and its testing application on three medical domains. In: Proc. Fifth Natl. Conf. on Artificial Intelligence. Morgan Kaufmann, San Mateo, CA, pp. 1041-1045.
    • (1986) Proc. Fifth Natl. Conf. on Artificial Intelligence , pp. 1041-1045
    • Michalski, R.1    Mozetič, I.2    Hong, J.3    Lavrač, N.4
  • 24
    • 0000187792 scopus 로고
    • Die biologische überwachung der gewas und die Darstellung der Ergebnisse
    • Pantle, R. and Buck, H., 1955. Die biologische Überwachung der Gewas und die Darstellung der Ergebnisse. Gas Wasserfach, 96: 603.
    • (1955) Gas Wasserfach , vol.96 , pp. 603
    • Pantle, R.1    Buck, H.2
  • 25
    • 0028162053 scopus 로고
    • Hybrid expert system DELAQUA - A toolkit for water quality control of lakes and reservoirs
    • Recknagel, F., Petzoldt, T., Jaeke, O. and Krusche, F., 1994. Hybrid expert system DELAQUA - a toolkit for water quality control of lakes and reservoirs. Ecol. Modell., 71: 17-36.
    • (1994) Ecol. Modell. , vol.71 , pp. 17-36
    • Recknagel, F.1    Petzoldt, T.2    Jaeke, O.3    Krusche, F.4
  • 28
    • 4944222904 scopus 로고
    • Biological monitoring: A comparison between Bayesian, neural and machine learning methods of water quality classification
    • Malvern, PA, forthcoming
    • Walley, W.J. and Džeroski, S., 1995. Biological monitoring: A comparison between Bayesian, neural and machine learning methods of water quality classification. In: Proc. Int. Symp. on Environmental Software Systems. Malvern, PA, forthcoming.
    • (1995) Proc. Int. Symp. on Environmental Software Systems
    • Walley, W.J.1    Džeroski, S.2
  • 30
    • 0001767321 scopus 로고
    • Zur präzisierung der biologischen klassifikation der reinheit fliessender gewässer
    • Zelinka, M. and Marvan, P., 1961. Zur Präzisierung der biologischen Klassifikation der Reinheit fliessender Gewässer. Arch. Hydrobiol., 57: 389-407.
    • (1961) Arch. Hydrobiol. , vol.57 , pp. 389-407
    • Zelinka, M.1    Marvan, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.