Strengths and Weaknesses of Support Vector Machines within Marketing Data Analysis
Monien K, Decker R (2005)
In: Innovations in Classification, Data Science, and Information Systems. Baier D, Wernecke K-D (Eds); Berlin: Springer: 355-362.
Konferenzbeitrag
| Veröffentlicht | Englisch
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Autor*in
Monien, Katharina;
Decker, ReinholdUniBi 
Herausgeber*in
Baier, D.;
Wernecke, K.-D.
Einrichtung
Abstract / Bemerkung
Support vector machines are not only promising for solving pattern recognition tasks but have also produced several successful applications in medical diagnostics and object detection to date. So it is just natural to check whether this methodology might also be a helpful tool for classification in marketing and especially in sales force management. To answer this question both strengths and weaknesses of support vector machines in marketing data analysis are investigated exemplarily with special attention to the problem of selecting appropriate kernel functions and determining the belonging parameters. Difficulties arising in this context are illustrated by means of real data from health care.
Stichworte
Customer Classification;
Support Vector Machines;
Parameter Selection
Erscheinungsjahr
2005
Titel des Konferenzbandes
Innovations in Classification, Data Science, and Information Systems
Seite(n)
355-362
Page URI
https://pub.uni-bielefeld.de/record/2494848
Zitieren
Monien K, Decker R. Strengths and Weaknesses of Support Vector Machines within Marketing Data Analysis. In: Baier D, Wernecke K-D, eds. Innovations in Classification, Data Science, and Information Systems. Berlin: Springer; 2005: 355-362.
Monien, K., & Decker, R. (2005). Strengths and Weaknesses of Support Vector Machines within Marketing Data Analysis. In D. Baier & K. - D. Wernecke (Eds.), Innovations in Classification, Data Science, and Information Systems (pp. 355-362). Berlin: Springer.
Monien, Katharina, and Decker, Reinhold. 2005. “Strengths and Weaknesses of Support Vector Machines within Marketing Data Analysis”. In Innovations in Classification, Data Science, and Information Systems, ed. D. Baier and K.-D. Wernecke, 355-362. Berlin: Springer.
Monien, K., and Decker, R. (2005). “Strengths and Weaknesses of Support Vector Machines within Marketing Data Analysis” in Innovations in Classification, Data Science, and Information Systems, Baier, D., and Wernecke, K. - D. eds. (Berlin: Springer), 355-362.
Monien, K., & Decker, R., 2005. Strengths and Weaknesses of Support Vector Machines within Marketing Data Analysis. In D. Baier & K. - D. Wernecke, eds. Innovations in Classification, Data Science, and Information Systems. Berlin: Springer, pp. 355-362.
K. Monien and R. Decker, “Strengths and Weaknesses of Support Vector Machines within Marketing Data Analysis”, Innovations in Classification, Data Science, and Information Systems, D. Baier and K.-D. Wernecke, eds., Berlin: Springer, 2005, pp.355-362.
Monien, K., Decker, R.: Strengths and Weaknesses of Support Vector Machines within Marketing Data Analysis. In: Baier, D. and Wernecke, K.-D. (eds.) Innovations in Classification, Data Science, and Information Systems. p. 355-362. Springer, Berlin (2005).
Monien, Katharina, and Decker, Reinhold. “Strengths and Weaknesses of Support Vector Machines within Marketing Data Analysis”. Innovations in Classification, Data Science, and Information Systems. Ed. D. Baier and K.-D. Wernecke. Berlin: Springer, 2005. 355-362.
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