Solving and Interpreting Binary Classification Problems in Marketing with SVMs

Georgi Nalbantov; Jan C. Bioch; Patrick J. F. Groenen

doi:10.1007/3-540-31314-1_69

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Solving and Interpreting Binary Classification Problems in Marketing with SVMs

Georgi Nalbantov Jan C. Bioch Patrick J. F. Groenen

Year: 2006 Studies in classification, data analysis, and knowledge organization Pages: 566-573 Publisher: Springer Nature

DOI: 10.1007/3-540-31314-1_69

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Keywords:

Support vector machine Binary classification Quadratic classifier Binary number Linear discriminant analysis Artificial intelligence Machine learning Computer science Set (abstract data type) Discriminant Logistic regression Pattern recognition (psychology) Interpretation (philosophy) Data mining Mathematics

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Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Consumer Market Behavior and Pricing

Social Sciences → Business, Management and Accounting → Marketing

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Solving and Interpreting Binary Classification Problems in Marketing with SVMs

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