Title :
Adaptive model of data predictability in designing of information systems
Author :
Sergey Frenkel;Andrey Gorshenin;Victor Korolev
Author_Institution :
Institute of Informatics Problems, Federal Research Center ?Computer Science and Control? of the Russian Academy of Sciences
Abstract :
The paper describes a model for a predictability analysis of various data types, which may be used to manage different real information systems. The models are “adaptive” in a sense of an absence of the fundamental assumptions about the probability distributions of the data. We present a special software tool based on the method of moving separation of the finite probability mixtures to ascertain the possibility of forecasting for the data.
Keywords :
"Forecasting","Predictive models","Data models","Probability distribution","Estimation","Prediction algorithms","Adaptation models"
Conference_Titel :
Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2015 7th International Congress on
Electronic_ISBN :
2157-0221
DOI :
10.1109/ICUMT.2015.7382428
