Decision Trees

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Author(s): John Wang (Montclair State University, USA)and Dajin Wang (Montclair State University, USA)
Copyright: 2008
Pages: 6
Source title: Encyclopedia of Information Technology Curriculum Integration
Source Author(s)/Editor(s): Lawrence A. Tomei (Robert Morris University, USA)
DOI: 10.4018/978-1-59904-881-9.ch033

Keywords: Education / Educational Technologies / Information Science Reference / Instructional Design

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Abstract

Decision trees are part of the decision theory and are excellent tools in the decision-making process. Majority of decision tree learning methods were developed within the last 30 years by scholars like Quinlan, Mitchell, and Breiman, just to name a few (Ozgulbas & Koyuncugil, 2006). There are a number of methods and sophisticated software used to graphically present decision trees. Decision trees have a great number of benefits and are widely used in many business functions as well as different industries. However there are also disagreements and various concerns as to how useful decision trees really are. As technology evolves so do decision trees. Therefore not only do many controversies arise but also solutions and new proposals to these arguments.

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