COMPARATIVE STUDY OF VARIOUS SUPERVISEDCLASSIFICATION METHODSFORANALYSING DEFORESTATION FACTORS

S.P.Rajagopalan, C.Lalitha

Abstract: In this paper, various supervised classification techniques are compared and the results are demonstrated. Here the classification techniques like Decision tree, Bayesian method, Neural Networks and Rule Based method are discussed with regards to the data sets given. The population, built up and agriculture are the factors that play a vital role in the development of country which directly affects economic condition. In this paper, factors such as road , population, built up development ,agriculture and industry are considered as drivers of deforestation in the study area which is located in the Erode District of TamilNadu, India.

Keywords: Supervised Classification, Decision tree, Bayesian method, Neural Network.

DOI: https://doi.org/10.15623/ijret.2014.0319148