Intelligent Data Mining Techniques For Coal Mining Data

Abstract

Classification is an important problem in data mining. Given a database of records, each with a class label, a classifier generates a concise and meaningful description for each class that can be used to classify future records whose classes are unknown. A number of popular classifier exists like naïve bays classifier, Neural Network, SVM classifier, CARD etc. In this paper we applied classification algorithm for coal mines dataset. We also discussed decision tree, nearest neighbor classifier, NN classifier for prediction of class label.