Knygų paklausos prognozavimo elektroniniame knygyne galimybės
Possibilities of demand forecasting in electronic bookstore
Author(s): Aurimas Rapečka, Virginijus MarcinkevičiusSubject(s): Library and Information Science, Business Economy / Management, Electronic information storage and retrieval, Evaluation research, ICT Information and Communications Technologies, Socio-Economic Research
Published by: Vilniaus Universiteto Leidykla
Keywords: demand forecasting; forecasting methods; online forecasting;
Summary/Abstract: In this paper, the efficiency of various demand forecasting algorithms is analyzed. The key goal of analysis is to determine effective and not effective algorithms in the data set used for analysis and to create the best model for demand forecasting in electronic bookstore. Analytic reviews of basic principles of demand forecasting are presented and an effective algorithm in the data set used for experiments is determined. In this case, coefficients of ARIMA model were experimentally selected and this model was experimentally tested with real data set.
Journal: Informacijos mokslai
- Issue Year: 2015
- Issue No: 73
- Page Range: 74-83
- Page Count: 10
- Language: Lithuanian
