Predicting the Future of Car Manufacturing Industry using Naive Bayes Classifier

Abstract

Data mining is a process that discovers interesting information from the hidden data which can either be used for future prediction and/or intelligently summarizing the details of the data. The applications of data mining in the field of predicting the future of any car manufacturing industry is gaining a lot of research interest now days. There are a number of research workers interested in this field. Among various data mining techniques regression, decision trees and naïve bayse algorithm is used for the prediction purposes. In this paper, naïve bayse algorithm is used for the prediction of future of number of cars which is useful for the car manufacturing industry. The prediction results are compared with the actual and real world values in order to validate the results obtained using naïve bayes alogorithm