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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
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The use of spatial data mining methods for modeling HR challenges of generation Z in greater Poland region
Graczyk-Kucharska, Magdalena; Olszewski, Robert; Weber, … - In: Central European journal of operations research 31 (2023) 1, pp. 205-237
Persistent link: https://www.econbiz.de/10013536093
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Mining unstructured data for market insights : a study of representation learning and its value for marketing
Borchers, Oliver - 2020
Persistent link: https://www.econbiz.de/10012392551
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Are box office revenues equally unpredictable for all movies? : evidence from a random forest-based model
Antipov, Evengy A.; Pokryshevskaya, Elena B. - In: Journal of revenue and pricing management 16 (2017) 3, pp. 295-307
Persistent link: https://www.econbiz.de/10011912835
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Data mining techniques for forecasting the medical resource consumption of patients with diabetic nephropathy
Lee, Tian-shyug; Dai, Wensheng; Huang, Bo-lin; Lu, Chi-jie - In: International journal of management, economics and … 6 (2017), pp. 293-306
Diabetes has become an important public health issue in the twenty-first century, and dialysis treatment has become a large burden on the National Health Insurance of Taiwan. Diabetic nephropathy(DN) is the leading factor that determines whether patients with diabetes will require dialysis....
Persistent link: https://www.econbiz.de/10011779860
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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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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
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Analysis of book sales prediction at Amazon marketplace in India : a machine learning approach
Sharma, Satyendra Kumar; Chakraborti, Swapnajit; Jha, Tanaya - In: Information systems and e-business management : ISeB 17 (2019) 2/4, pp. 261-284
Persistent link: https://www.econbiz.de/10012139413
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Synergistic prediction of penetration rate in Boukhadhra mining using regression, design of experiments, fuzzy logic, and artificial neural networks
Mebarkia, Mohamed; Abdelmalek, Asma; Aoulmi, Zoubir; … - In: Technology audit and production reserves 4 (2024) 1/78, pp. 32-42
Persistent link: https://www.econbiz.de/10015078540
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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