Constructing a Risk Behavior Guideline for Adolescent Students Using Decision Tree

Author
Surin Aunsan, Sotarat Thammaboosadee
Abstract
The main objective of education is to offer the best quality of life to the student. One way to achieve the best quality of life is to reduce and improve adolescent problem by discovering knowledge for providing the problem factors to the institution. In this research, the knowledge is extractable through student database. The decision tree data mining technique is used to build six adolescent students behavior models and to provide an overall accuracy of 90%. Six classification models are constructed based on risk behavior groups, and are then used to create student behavior guideline to support teacher decision making.