Customers churn prediction and marketing retention strategies. An application of support vector machines based on the AUC parameter-selection technique in B2B e-commerce industry
Niccolò Gordini, Valerio Veglio
| Year of publication: |
April 2017
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| Authors: | Gordini, Niccolò ; Veglio, Valerio |
| Published in: |
Industrial marketing management : the international journal for industrial and high-tech firms. - New York, NY [u.a.] : Elsevier, ISSN 0019-8501, ZDB-ID 120124-4. - Vol. 62.2017, p. 100-107
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| Subject: | Churn prediction modeling | B2B e-commerce | Support vector machines | Parameter-selection technique | Marketing retention strategies | Electronic Commerce | E-commerce | Beziehungsmarketing | Relationship marketing | Mustererkennung | Pattern recognition | B-to-B-Marketing | Business-to-business marketing | Lieferantenmanagement | Supplier relationship management | Prognoseverfahren | Forecasting model |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.indmarman.2016.08.003 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011707072