Prediction Algorithms: A Study

Autor: G. Arumugam, S. Santha Subbulaxmi
Rok vydání: 2018
Předmět:
Zdroj: Asian Journal of Computer Science and Technology. 7:7-12
ISSN: 2249-0701
DOI: 10.51983/ajcst-2018.7.3.1896
Popis: Prediction algorithms make a prognosis of the future in a scientific way by analysing the data. They are being applied successfully to the problems in various fields and find good solutions. The objective of this paper is to describe about prediction algorithms and present the literature growth on it. It details the prediction process. It outlines the different types of prediction algorithms and the relevant publications on it. The paper summarizes the advantages & disadvantages of the prediction algorithms and the challenges to be addressed in the prediction field.
Databáze: OpenAIRE