Building Decision Tree

This textbook will be of particular interest to instructors who have students do a
modeling project or research. Each chapter provides a clear explanation specially on
how to build decision trees with detailed examples and observed dataset. In this way,
students can independently build their own decision tree and form a rich foundation
in their future research as a Data Scientist.

This study guide is very suitable to all researchers and not just computer science
individuals. In fact, this textbook is aimed for all researchers of different fields of studies
who are faced with challenging classification problems that can be barely solved by
traditional approaches.

This can also be used as Instructional Material or reference for the following courses:
(1) Simulation and Modelling; (2) Intelligent Systems, (3) Data Science, (4) Machine
Learning, (5) Research Methods in Computer Science