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Cash demand forecasting in ATMs by clustering and neural networks
Venkatesh, Kamini; Ravi, Vadlamani; Prinzie, Anita; Van … - In: European journal of operational research : EJOR 232 (2014) 2, pp. 383-392
Persistent link: https://www.econbiz.de/10010224693
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ATM networks and cash usage
Snellman, Heli; Virén, Matti E. E. - In: Applied financial economics 19 (2009) 10/12, pp. 841-851
particular, the demand for cash is analysed from this point of view. The analysis is based on a simple spatial transactions model … the demand for cash depends on the number of ATMs, ATM networks and the popularity of other means of payment. Thus, the … use of cash can be pretty well explained in the transaction demand framework assuming that the market structure and …
Persistent link: https://www.econbiz.de/10003856648
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A machine learning pipeline for forecasting time series in the banking sector
Gorodetskaya, Olga; Gobareva, Yana; Koroteev, Mikhail - In: Economies : open access journal 9 (2021) 4, pp. 1-15
, including optimizing demand for ATMs, forecasting the load on the call center and cash center, is considered. A machine learning …
Persistent link: https://www.econbiz.de/10012800488
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Cash withdrawals forecasting by neural networks
Atsalaki, loanna G.; Atsalakis, George S.; Zopounidis, … - In: Computational techniques for banking and risk management, (pp. 91-100). 2013
Persistent link: https://www.econbiz.de/10010198996
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Forecasting ATM cash demands using a local learning model of cerebellar associative memory network
Teddy, S. D.; Ng, S. K. - In: International journal of forecasting 27 (2011) 3, pp. 760-776
Persistent link: https://www.econbiz.de/10009248162
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Combination forecasts of tourism demand with machine learning models
Claveria, Oscar; Monte, Enric; Torra, Salvador - In: Applied economics letters 23 (2016) 4/6, pp. 428-431
Persistent link: https://www.econbiz.de/10011430763
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Carsharing customer demand forecasting using causal, time series and neural network methods : a case study
Moein, Elnaz; Awasthi, Anjali - In: International journal of services and operations … 35 (2020) 1, pp. 36-57
Persistent link: https://www.econbiz.de/10012178607
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Forecasting US tourist arrivals using optimal singular spectrum analysis
Hassani, Hossein; Webster, Allan D.; Silva, Emmanuel Sirimal - In: Tourism management : research, policies, practice 46 (2015), pp. 322-335
Persistent link: https://www.econbiz.de/10010486219
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On the empirical performance of some new neural network methods for forecasting intermittent demand
Babai, M. Zied; Tsadiras, A.; Papadopoulos, C. - In: IMA journal of management mathematics 31 (2020) 3, pp. 281-305
Persistent link: https://www.econbiz.de/10012258678
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Modelling tourism demand to Spain with machine learning techniques : the impact of forecast horizon on model selection
Claveria, Oscar; Torra, Salvador; Monte, Enric - In: Revista de economía aplicada : REA 24 (2016) 72, pp. 109-132
Persistent link: https://www.econbiz.de/10012261644