Comparison of Paper Properties in Fillers Using Induction Decision-Tree Algorithm
Data mining is an automated extraction of hidden predictive information from databases and it allows solving business decision problems. Basically data mining is concerned with analysis of data and the use of software techniques for finding patterns and regularities in sets of data. In data mining and machine learning different classifiers are used for classifying different data set used for finding optimal classification, classification trees are methodologies to classify data into discrete ones using tree structured algorithms. Breiman invented this terminology in 1980's. The technique has found immense uses in medical, market research, statistics, marketing and customer relations. In this paper, decision tree representation that allows users to determine the classification of an object by testing its values for certain properties.