Prediction Algorithms: A Study

Abstract

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.

An IoT-Based Intelligent Wound Monitoring System

“…In our proposed system we used decision tree for prediction of wound factors (under consideration) effect on wound healing. We preferred decision tree for data analysis due to following reasons also given by [26,27,30]. We select Decision trees for analysis as it is suitable algorithm to work with problem scenario in which input is in form of attribute-value pair as our scenario temperature-hold, mild, cold.…”