Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi !

Enhanced predictive modelling process of broadband services adoption based on time series data (CROSBI ID 252727)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Križanović, Višnja ; Žagar, Drago ; Grgić, Krešimir ; Vranješ, Mario Enhanced predictive modelling process of broadband services adoption based on time series data // Advanced engineering informatics, 38 (2018), October 2018; 142-167. doi: 10.1016/j.aei.2018.06.003

Podaci o odgovornosti

Križanović, Višnja ; Žagar, Drago ; Grgić, Krešimir ; Vranješ, Mario

engleski

Enhanced predictive modelling process of broadband services adoption based on time series data

In this paper, the importance of the predictive modelling process of broadband services adoption is described. A detailed overview of different analytical models used for prediction, i.e., fitting and forecasting processes of broadband services adoption are presented. Furthermore, a comparison of several analytical models commonly used for prediction of broadband adoption is conducted. In order to more accurately fit to the existing broadband adoption time series data, and to forecast the future broadband services adoption paths, the features of the most accurate common predictive models have been identified for different phases of broadband services adoption. Considering the given results, usage of additional models in the predictive modelling process is analyzed. The objective of these analyses is set to improve the accuracy of the existing predictive modelling process. The accuracy of the predictive modelling process using additional models is tested and compared in different phases of broadband adoption. The model which gives the most accurate results is identified. Finally, in order to enable the usage of this model within a whole broadband service life cycle, as well as to include a greater number of explanatory parameters in predictive modelling process, an enhanced predictive modelling process is proposed.

Broadband services ; Broadband adoption ; Predictive modelling

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o izdanju

38 (October 2018)

2018.

142-167

objavljeno

1474-0346

1873-5320

10.1016/j.aei.2018.06.003

Povezanost rada

Elektrotehnika

Poveznice
Indeksiranost