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Improving customer loyalty evaluation methods in the grocery retail industry : a data mining approach
Khodabandehlou, Samira; NikNafs, Ali Akbar - In: International journal of electronic customer … 10 (2016) 2/4, pp. 158-178
Persistent link: https://www.econbiz.de/10011688029
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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
Gordini, Niccolò; Veglio, Valerio - In: Industrial marketing management : the international … 62 (2017), pp. 100-107
Persistent link: https://www.econbiz.de/10011707072
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Bankruptcy prediction using support vector machines and feature selection during the recent financial crisis
Dellepiane, Umberto; Di Marcantonio, Michele; Laghi, Enrico - In: International journal of economics and finance 7 (2015) 8, pp. 182-195
Persistent link: https://www.econbiz.de/10011346867
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Tehran stock price modeling and forecasting using support vector regression (SVR) and its comparison with the classic model ARIMA
Hajibabaei, Saeed; Hajibabaei, Nematollah; Hosseini, … - In: Iranian economic review : journal of University of Tehran 18 (2014) 2, pp. 105-130
Persistent link: https://www.econbiz.de/10011455426
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Analytical CRM in banking and finance using SVM : a modified active learning-based rule extraction approach
Farquad, M. A. H.; Ravi, V.; Raju, S. Bapi - In: International journal of electronic customer … 6 (2012) 1, pp. 48-73
Persistent link: https://www.econbiz.de/10009578910
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On a strategy to develop robust and simple tariffs from motor vehicle insurance data
Christmann, Andreas - 2004
The goals of this paper are twofold: we describe common features in data sets from motor vehicle insurance companies and we investigate a general strategy which exploits the knowledge of such features. The results of the strategy are a basis to develop insurance tariffs. The strategy is applied...
Persistent link: https://www.econbiz.de/10010516923
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Interpretable support vector machines for functional data
Martin-Barragan, Belen; Lillo, Rosa; Romo, Juan - In: European journal of operational research : EJOR 232 (2014) 1, pp. 146-155
Persistent link: https://www.econbiz.de/10010224722
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Predicting corporate financial distress using data mining techniques : an application in Tehran Stock Exchange
Salehi, Mahdi; Shiri, Mahmoud Mousavi; Pasikhani, … - In: International journal of law and management : IJLMA 58 (2016) 2, pp. 216-230
Persistent link: https://www.econbiz.de/10011485759
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Process mining through artificial neural networks and support vector machines : a systematic literature review
Maita, Ana Rocío Cárdenas; Martins, Lucas Corrêa; … - In: Business process management journal 21 (2015) 6, pp. 1391-1415
Persistent link: https://www.econbiz.de/10011487995
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Predictive analysis and modelling football results using machine learning approach for English Premier League
Baboota, Rahul; Kaur, Harleen - In: International journal of forecasting 35 (2019) 2, pp. 741-755
Persistent link: https://www.econbiz.de/10012300725