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Data Mining (Datenmustererkennung)

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WIRTSCHAFTSINFORMATIK

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Notes

  1. In der englischsprachigen Literatur wird die Datenmustererkennung ferner unter Begriffen diskutiert wie: Knowledge Discovery, Database Mining, Database Exploration.

  2. Modifizierte Abbildung nach Frawley et al. (1991).

  3. Zu weiteren Ansätzen vgl. Quinlan (1990).

Literatur

  • Anderson JR, Matessa M (1990) A rational analysis of categorization. In: Proceedings of the seventh international conference on machine learning. San Mateo, S 76 ff.

  • Cheeseman P, Kelly J, Self M, Stutz J, Taylor W, Freeman D (1990) AutoClass: a Bayesian classification system. In: Proceedings of the fifth international conference on machine learning. San Mateo, S 54 ff.

  • Fisher D, Langley P (1986) Conceptual clustering and its relation to numerical taxonomy. In: Gale WE (Hrsg) Artificial intelligence and statistics. Reading, S 77 ff

  • Frawley WJ, Piatetsky-Shapiro G, Matheus CJ (1991) Knowledge discovery in databases: an overview. In: Piatetsky-Shapiro G, Frawley WJ (Hrsg) Knowledge discovery in databases. Menlo Park

  • Harmon P (1992) Software trends at the help desk. Intelligent Software 8:1 ff

    Google Scholar 

  • Hoschka P, Klösgen W (1991) A support system for interpreting statistical data. In: Piatetsky-Shapiro G, Frawley WJ (Hrsg) Knowledge discovery in databases. Menlo Park

  • Kaufman L, Rousseeuw PJ (1990) Finding groups in data. New York

  • Quinlan JR (1986) Induction of decision trees. Machine Learning 1(1):81 ff

    Google Scholar 

  • Quinlan JR (1990) Learning logical definitions from relations. Machine Learning 5(3):239 ff

    Google Scholar 

  • Stepp RE, Michalski RS (1986) Conceptual clustering: inventing goal-oriented classification of structured objects. In: Michalski RS, Carbonell JG, Mitchell TM (Hrsg) Machine learning, vol II. Los Altos, S 471 ff

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Correspondence to Nicolas Bissantz.

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This article is also available in English via http://www.springerlink.com and http://www.bise-journal.org: Nicolas Bissantz, Jürgen Hagedorn (2008) Data Mining. Bus Inf Syst Eng. doi http://dx.doi.org/10.1007/s12599-008-0005-4.

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Bissantz, N., Hagedorn, J. Data Mining (Datenmustererkennung). Wirtsch. Inform. 51, 139–144 (2009). https://doi.org/10.1007/s11576-008-0108-z

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