Data Mining pp 159-183 | Cite as

Classification and Decision Trees

  • Florin Gorunescu
Part of the Intelligent Systems Reference Library book series (ISRL, volume 12)


One of the most popular classification techniques used in the data mining process is represented by the classification and decision trees. Because after accomplishing a classification process, a decision is naturally made, both labels are correctly inserted in its name, though they are usually used separately (i.e., classification trees or decision trees). From now on, we will call them just decision trees, since it represents the final goal of this model. The greatest benefit to use decision trees is given by both their flexibility and understandability. This chapter will present a short overview concerning the main steps in building and applying a decision tree in real-life problems.


Decision Tree Taxable Income Training Dataset Terminal Node GINI Index 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Florin Gorunescu

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