Abstract
Based on an overview on recent contributions with respect to data mining applications terms like “data mining”, “data warehousing” and “knowledge discovery in databases” are related to the well-known discussion where “data analysis” and “decision support” are combined with “expert knowledge research”. Next, commercial data mining tools are compared with the help of positioning and segmentation procedures to get a feeling for the support provided by software tailored for performing tasks concerning knowledge discovery in databases. Finally, an own modification of an association rule algorithm is used to handle buying histories in the area of consumer behavior interpretation.
This paper is partly based on an invited talk presented at the workshop “Data Mining and Knowledge Discovery in Business Applications”, Osaka, Japan, September 1998, by the first author.
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References
AGRAWAL, R., MANNILA, H., SRIKANT, R., TOIVONEN, H., VERKAMO, A.I. (1996): Fast Discovery of Association Rules. In: FAYYAD, U.M., PIATETSKY-SHAPIRO, G., SMYTH, P., UTHURUSAMY, R. (Eds.): Advances in Knowledge Discovery and Data Mining. AAAI/MIT Press, 277–296.
ANAND, S.S., HUGHES, J.G., BELL, D.A., PATRICK, A.R. (1997): Tackling the Cross-Sales Problem using Data Mining. Proceedings of the 1st International Conference on Knowledge Discovery in Databases and Data Mining, 1997.
BAIER, D., GAUL, W. (1999): Optimal Product Positioning Based on Paired Comparisons Data. To appear in: Journal of Econometrics.
BOROK, L.S. (1997): Data Mining: Sophisticated Forms of Managed Care Modeling through Artificial Intelligence. Journal of Health Care Finance, Vol. 23, Iss. 3, 20–36.
BRACHMAN, R.J., ANANAD, T. (1996): The Process of Knowledge Discovery in Databases: A Human-Centered Approach. In: FAYYAD, U.M., PIATETSKYSHAPIRO, G., SMYTH, P., UTHURUSAMY, R. (Eds.): Advances in Knowledge Discovery and Data Mining. AAAI/MIT Press, 33–51.
CARPENTER, G.S., LEHMANN, D.R. (1985): A Model of Marketing Mix, Brand Switching, and Competition. Journal of Marketing Research, Vol. 22, 318–329.
DONATO, J.M., SCHRYVER, J.C., GRADY, N.W., HINKEL, G.C., SCHMMOYER, R.L., LEUZE, M.R. (1997): Mining Credit Card Data for Decision Support. AFCEA, First Federal Data Mining Symposium, 1997.
EVANS, R.B. (1997): A Case Study in Data Mining. Database Programming and Design, April 1997, 42–49.
FAYYAD, U.M., DJORGOVSKI, S.G., WEIR, N. ( 1996 a): Automating the Analysis and Cataloging of Sky Surveys. In: FAYYAD U.M., PIATETSKY-SHAPIRO, G., SMYTH, P., UTHURUSAMY, R. ( Eds. ): Advances in Knowledge Discovery and Data Mining. AAAI/MIT Press, 425–444.
FAYYAD, U.M., PIATETSKY-SHAPIRO, G., SMYTH, P., ( 1996 b): From Data Mining to Knowledge Discovery: An Overview. In: FAYYAD U.M., PIATETSKYSHAPIRO, G., SMYTH, P., UTHURUSAMY, R. ( Eds. ): Advances in Knowledge Discovery and Data Mining. AAAI/MIT Press, 1–29.
FÜRNKRANZ, J. PETRAK, J., TRAPPL, R. (1997): Knowledge Discovery in International Conflict Databases. Applied Artificial Intelligence, Vol. 11, 91–118.
GAUL, W., BAIER, D. (1994): Marktforschung und Marketing Management. Oldenbourg, München, 2nd Edition.
GAUL, W., DECKER, R., WARTENBERG, F. (1994): Analyse von Panel-und POS-Scanner-Daten mit Neuronalen Netzen. Jahrbuch der Absatz-und Verbrauchsforschung, 40. Jahrgang, Heft 3, 281–306.
GAUL, W., PFEIFFER, D. (Eds.) (1996): From Data to Knowledge. Studies in Classification, Data Analysis, and Knowledge Organization, Springer.
GAUL, W., RADERMACHER, F.J., SCHADER, M., SOLTE, D. (1995): Data, Expert Knowledge and Decisions: An Introduction to the Volume. Special Issue (Edited by GAUL, W., RADERMACHER, F.J., SCHADER, M., SOLTE, D.), Annals of Operations Research, Vol. 55, 1–7.
GAUL, W., SÄUBERLICH, F. (1998): Classification and Positioning of Data Mining Tools. Working Paper 216, Institut für Entscheidungstheorie und Unternehmensforschung, Universität Karlsruhe, to appear in: Studies in Classification, Data Analysis, and Knowledge Organization.
GAUL, W., SCHADER, M. (Eds.) (1988): Data, Expert Knowledge and Decisions. Springer.
GAUL, W., SCHADER, M. (1989): Data Analysis and Decision Support. Applied Stochastic Models and Data Analysis, Vol. 5, 341–356.
GAUL, W., SCHADER, M. (1994): Pyramidal Classification Based on Incomplete Dissimilarity Data. Journal of Classification, 11, 171–193.
GAUL, W., SCHADER, M. (1996): A New Algorithm for Two-Mode Clustering. In: BOCK, H.-H., POLASEK, W.: Data Analysis and Information Systems. Studies in Classification, Data Analysis, and Knowledge Organization, 15–23.
HÄTÖNEN, K., KLEMETTINEN, M., MANNILA, H., RONKAINEN, P., TOIVONEN, H. (1996): Knowledge Discovery from Telecommunication Network Alarm Databases. Proceedings of the 12th International Conference on Data Engineering (ICDE’96), New Orleans, Louisiana, February/March 1996.
HOFFMAN, P., GRINSTEIN, G., MARX, K., GROSSE, I., STANLEY, E. (1997): DNA Visual and Analytic Data Mining. Visualization 1997.
MANNILA, H. (1997): Methods and Problems in Data Mining. In: AFRATI, F., KOLAITIS, P. (Eds.): Proceedings of the International Conference on Database Theory. Delphi, Greece, January 1997, Springer-Verlag.
MATHEUS, C.J., PIATETSKY-SHAPIRO, G., MCNEILL, D. (1996): Selecting and Reporting What is Interesting: The KEFIR Application to Healthcare Data. In: FAYYAD, U.M., PIATETSKY-SHAPIRO, G., SMYTH, P., UTHURUSAMY, R. ( Eds. ): Advances in Knowledge Discovery and Data Mining. AAAI/MIT Press, 445–463.
MERTENS, P., BISSANTZ, N., HAGEDORN, J. (1997): Data Mining im Controlling. Zeitschrift für Betriebswirtschaft, Vol. 67, Iss. 2, 179–201.
SASISEKHARAN, R., SESHADRI, V., WEISS, S.M. (1996): Data Mining and Forecasting in Large-Scale Telecommunication Networks. IEEE Expert–Intelligent Systems and their Applications, Vol. 11, Iss. 1, 37–43.
SCHADER, M., GAUL, W. (Eds.) (1990): Knowledge, Data and Computer-Assisted Decisions. NATO ASI Series F: Computer and Systems Sciences, Vol. 61, Springer.
WILLIAMS, G.J., HUANG, Z. (1996): A Case Study in Knowledge Acquisition for Insurance Risk Assessment using a KDD Methodology. Pacific Rim Knowledge Acquisition Workshop, Sydney, Australia, October 1996.
WIRTH, R., REINARTZ, T.P. (1996): Towards a Task Model for KDD-Processes. In: KODRATOFF, Y., NAKHAEIZADEH, G. (Eds.): Workshop Notes; Statistics, Machine Learning, and Knowledge Discovery in Databases. MLNet Familiarisation Workshop.
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Gaul, W., Schader, M. (1999). Data Mining: A New Label for an Old Problem?. In: Gaul, W., Schader, M. (eds) Mathematische Methoden der Wirtschaftswissenschaften. Physica, Heidelberg. https://doi.org/10.1007/978-3-662-12433-8_1
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DOI: https://doi.org/10.1007/978-3-662-12433-8_1
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