Analysis and Application of Data Mining Algorithm Based on Decision Tree
Yang Liu · Journal of Liaoning University of Petroleum & Chemical Technology · 2007
The decision tree technique is a very effective method for classifying large data sets.By means of constructing a decision tree model,the technique picks up valuable classified rules,and helps the decision-makers to make out an exact forecast.The technique has widely applied in a great many fields.The technology is adopted to construct the decision tree model of the edibility of mushroom,which provides scientific basis for differentiating the edibility of mushroom by way of the mushroom property.The calculation of the decision tree uses the C4.5 algorithm,which takes information gain ratio as attribute choice criterion.The experiment result shows that although the decision tree gives an unbalanced structure,understandable decision rules are obtained from the decision tree.