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A framework for identification of high-value customers by including social network baded variables for churn prediction using neuro-fuzzy techniques

Abbasimehr, Hossein; Setak, Mostafa; Soroor, Javad - In: International journal of production research 51 (2013) 4, pp. 1279-1294

Persistent link: https://www.econbiz.de/10009689206

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

Using data mining and neural networks techniques to propose a new hybrid customer behaviour analysis and credit scoring model in banking services based on a developed RFM analysis...

Alborzi, Mahmood; Khanbabaei, Mohammad - In: International journal of business information systems : … 23 (2016) 1, pp. 1-22

Persistent link: https://www.econbiz.de/10011637311

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

Improving short-term demand forecasting for short-lifecycle consumer products with data mining techniques

Maaß, Dennis; Spruit, Marco René; Waal, Peter de - In: Decision Analytics 1 (2014), pp. 1-17

Today's economy is characterized by increased competition, faster product development and increased product differentiation. As a consequence product lifecycles become shorter and demand patterns become more volatile which especially affects the retail industry. This new situation imposes...

Persistent link: https://www.econbiz.de/10010338778