Impact of data mining techniques in predictive modeling: A case study

Abstract

Data mining is the most imperative step for the unearthing of knowledge discovery in the database and has been considered as one of the noteworthy parts in the prediction. Research in data mining continues to grow in business and in the organization of learning in the coming decades. This paper represents a case study to envisage whether a person would play any outdoor games or not and by studying diverse prognostic methods on the basis of diverse weather conditions the required decision has taken care of. This article shows the significance of data mining techniques in predictive modeling. Several data mining algorithms based on classification have been used and the necessary statistics are generated based on all cataloging algorithms. This revise makes a mention of various techniques that are likely to be chosen for the prediction of time and highlights the analysis of the performance of the algorithms. It is used to predict and forecast the climate conditions of a specific region based on prehistoric data, which helps to save resources and prepare for future changes.