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Preference estimation under bounded rationality : identification of attribute non-attendance in stated-choice data using a support vector machines approach

Díaz, Verónica; Montoya, Ricardo; Maldonado, Sebastián - In: European journal of operational research : EJOR 304 (2023) 2, pp. 797-812

Persistent link: https://www.econbiz.de/10013534567

Predicting customer churn using grey wolf optimization-based support vector machine with principal component analysis

Kurtcan, Betul Durkaya; Ozcan, Tuncay - In: Journal of forecasting 42 (2023) 6, pp. 1329-1340

Persistent link: https://www.econbiz.de/10014338889

Modeling wine preferences by data mining from physicochemical properties

Cortez, Paulo; Cerdeira, António; Almeida, Fernando; … - In: Decision support systems : DSS ; the international journal 47 (2009) 4, pp. 547-553

Persistent link: https://www.econbiz.de/10003901706

Product service system configuration based on support vector machine considering customer perception

Long, H. J.; Wang, L. Y.; Shen, J.; Wu, M. X.; Jiang, Z. B. - In: International journal of production research 51 (2013) 18, pp. 5450-5468

Persistent link: https://www.econbiz.de/10010196566

Churn prediction in subscription services : an application of support vector machines while comparing two parameter-selection techniques

Coussement, Kristof (contributor); … - 2006

Persistent link: https://www.econbiz.de/10003376958

Application of support vector machines in a life assurance environment

Steel, Sarel J.; Hechter, Gertrud K. - In: Classification - the ubiquitous challenge : proceedings …, (pp. 458-465). 2005

Persistent link: https://www.econbiz.de/10003569565

Estimating social influences from social networking sites : articulated frienships versus communication interactions

Guo, Hong; Pathak, Praveen; Cheng, Kenneth - In: Decision sciences : DS 46 (2015) 1, pp. 135-163

Persistent link: https://www.econbiz.de/10011475779

Supervised classification with interdependent variables to support targeted energy efficiency measures in the residential sector

Sodenkamp, Mariya; Kozlovskiy, Ilya; Staake, Thorsten - In: Decision Analytics 3 (2016) 1, pp. 1-22

This paper presents a supervised classification model, where the indicators of correlation between dependent and independent variables within each class are utilized for a transformation of the large-scale input data to a lower dimension without loss of recognition relevant information. In the...

Persistent link: https://www.econbiz.de/10011455192

Consumer preference elicitation of complex products using fuzzy support vector machine active learning

Huang, Dongling; Luo, Lan - In: Marketing science 35 (2016) 3, pp. 445-464

Persistent link: https://www.econbiz.de/10011498939

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