Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204953494 ISBN 13: 9786204953496
Da: preigu, Osnabrück, Germania
EUR 52,55
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Soft Computing and Data Mining Technique for Forecasting | In Retail Management | Guddi Singh (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786204953496 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Mai 2022, 2022
ISBN 10: 6204953494 ISBN 13: 9786204953496
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 60,90
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book describes demand forecasting for retail management using soft computing techniques viz. fuzzy logic, neural network. The forecasting of the quantitative value of dependent variable under the influence of independent variables is explained. One of the most important decisions a retailer can make with information obtained by soft computing based predictive model. The thesis suggests a data mining model which has been used for forecasting of demand. The proposed soft computing based forecasting model results in the reduction of inventory level and increase in customer service level resulting improved performance of retail sale. The proposed model for demand forecasting of various items improve the inventory performance and profitability of operations. 92 pp. Englisch.
Lingua: Inglese
Editore: LAP Lambert Academic Publishing, 2022
ISBN 10: 6204953494 ISBN 13: 9786204953496
Da: moluna, Greven, Germania
EUR 49,92
Quantità: Più di 20 disponibili
Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The book describes demand forecasting for retail management using soft computing techniques viz. fuzzy logic, neural network. The forecasting of the quantitative value of dependent variable under the influence of independent variables is explained. One of t.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Mai 2022, 2022
ISBN 10: 6204953494 ISBN 13: 9786204953496
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 60,90
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book describes demand forecasting for retail management using soft computing techniques viz. fuzzy logic, neural network. The forecasting of the quantitative value of dependent variable under the influence of independent variables is explained. One of the most important decisions a retailer can make with information obtained by soft computing based predictive model. The thesis suggests a data mining model which has been used for forecasting of demand. The proposed soft computing based forecasting model results in the reduction of inventory level and increase in customer service level resulting improved performance of retail sale. The proposed model for demand forecasting of various items improve the inventory performance and profitability of operations.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204953494 ISBN 13: 9786204953496
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 61,63
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book describes demand forecasting for retail management using soft computing techniques viz. fuzzy logic, neural network. The forecasting of the quantitative value of dependent variable under the influence of independent variables is explained. One of the most important decisions a retailer can make with information obtained by soft computing based predictive model. The thesis suggests a data mining model which has been used for forecasting of demand. The proposed soft computing based forecasting model results in the reduction of inventory level and increase in customer service level resulting improved performance of retail sale. The proposed model for demand forecasting of various items improve the inventory performance and profitability of operations.