Open AccessModelling Buying Demand in the Tourism Industry based on Machine Training Methods
Author(s) -
Viktoriya Tkach,
Anatoliі Pavlenchyk,
O.V. Sadchenko,
Світлана Нікола,
Валерія Дроздова,
Iryna Davydenko,
Вікторія Ткач,
А. О. Павленчик,
O.V. Sadchenko,
Світлана Нікола,
Валерія Дроздова,
І.В. Давиденко
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1800.078219
Subject(s) - tourism , automation , computer science , process (computing) , code (set theory) , training (meteorology) , software engineering , engineering , operating system , programming language , mechanical engineering , physics , set (abstract data type) , meteorology , political science , law
The business processes of companies in the tourism industry lend themselves well to formalization and, consequently, computer automation. This study focuses on the process of creating a demand forecast model for a travel agent based on data mining algorithms. The program code was developed in the Anaconda development environment, which allows to process the initial data and to give the prediction results for two indicators of MAE and program accuracy. The program code is designed to improve the performance of the entire system by selecting the correct functions.