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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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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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A hybrid machine learning model for forecasting a billing period’s peak electric load days
Saxena, Harshit; Aponte, Omar; McConky, Katie T. - In: International journal of forecasting 35 (2019) 4, pp. 1288-1303
Persistent link: https://www.econbiz.de/10012305279
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Forecasting tourist daily arrivals with a hybrid SARIMA-LSTM approach
Wu, Chi Wai; Ji, Lei; He, Kaijian; Tso, Kwok Fai Geoffrey - In: Journal of hospitality & tourism research : JHTR ; the … 45 (2021) 1, pp. 52-67
Persistent link: https://www.econbiz.de/10012426089
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A combined algorithm for selection of optimal bidder(s)
Ravichandran, J.; Vanishree, B. - In: Journal of revenue and pricing management 23 (2024) 2, pp. 179-193
Persistent link: https://www.econbiz.de/10014536757
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Common trends in international tourism demand : are they useful to improve tourism predictions?
Claveria, Oscar; Monte, Enric; Torra, Salvador - In: Tourism management perspectives : TMP 16 (2015), pp. 116-122
Persistent link: https://www.econbiz.de/10011415030
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Demand forecasting based on natural computing approaches applied to the foodstuff retail segment
Veiga, Claudimar Pereira da; Veiga, Cássia Rita Pereira da - In: Journal of retailing and consumer services 31 (2016), pp. 174-181
Persistent link: https://www.econbiz.de/10011528618
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Single-hidden layer neural networks for forecasting intermittent demand
Lolli, Francesco; Gamberini, R.; Regattieri, A.; … - In: International journal of production economics 183 (2017), pp. 116-128
Persistent link: https://www.econbiz.de/10011640985
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Forecasting tourism demand using search query data : a hybrid modelling approach
Wen, Long; Liu, Chang; Song, Haiyan - In: Tourism economics : the business and finance of tourism … 25 (2019) 3, pp. 309-329
Persistent link: https://www.econbiz.de/10012181972