PETŘÍČEK, Martin a Štěpán CHALUPA. USE OF ALGORITHM IN THE PREDICTION OF QUANTITY DEMANDED IN THE ACCOMMODATION SERVICES. Online. In 10 th INTERNATIONAL CONFERENCE PROCEEDINGS CURRENT TRENDS IN SPA, HOSPITALITY AND TOURISM. Prague: Institute of Hospitality Management and Economics, 2022, s. 210-219. ISBN 978-80-7632-076-5.
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Základní údaje
Originální název USE OF ALGORITHM IN THE PREDICTION OF QUANTITY DEMANDED IN THE ACCOMMODATION SERVICES
Název anglicky USE OF ALGORITHM IN THE PREDICTION OF QUANTITY DEMANDED IN THE ACCOMMODATION SERVICES
Autoři PETŘÍČEK, Martin a Štěpán CHALUPA.
Vydání Prague, 10 th INTERNATIONAL CONFERENCE PROCEEDINGS CURRENT TRENDS IN SPA, HOSPITALITY AND TOURISM, od s. 210-219, 10 s. 2022.
Nakladatel Institute of Hospitality Management and Economics
Další údaje
Typ výsledku Stať ve sborníku
Utajení není předmětem státního či obchodního tajemství
Forma vydání elektronická verze "online"
Organizační jednotka University College Prague – Vysoká škola mezinárodních vztahů a Vysoká škola hotelová a ekonomická s.r.o.
ISBN 978-80-7632-076-5
Klíčová slova anglicky Hotel, Optimization, Prediction, SARIMA model
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnil: doc. Ing. Martin Petříček, Ph.D., učo 14750. Změněno: 26. 10. 2022 10:08.
Anotace
Accurate prediction is a key basis for making the proper decisions within the management of any accommodation facility. The prediction of the quantity demanded thus represents one of the basic knowledge of a solid management system. The paper focuses on discussing and presenting the possibilities of using individual prediction techniques based on time series analysis. The SARIMA models, which in their modified form provide an appropriate basis for the application, seem to be a suitable element for the needs of accommodation services. The correct setting of the input values (p, d, q) (P, D, Q) can then be solved by using the presented algorithm based on the Akaike information criterion.
Anotace anglicky
Accurate prediction is a key basis for making the proper decisions within the management of any accommodation facility. The prediction of the quantity demanded thus represents one of the basic knowledge of a solid management system. The paper focuses on discussing and presenting the possibilities of using individual prediction techniques based on time series analysis. The SARIMA models, which in their modified form provide an appropriate basis for the application, seem to be a suitable element for the needs of accommodation services. The correct setting of the input values (p, d, q) (P, D, Q) can then be solved by using the presented algorithm based on the Akaike information criterion.
VytisknoutZobrazeno: 8. 9. 2024 03:28