Implementing Myanmar Traditional Astrology Using Classification Rules with Decision Tree Algorithm

Abstract

Data Mining is a step in the knowledge discovery process consisting of particular data mining algori- thms that, under some acceptable computational efficiency limitations, find patterns or models in data. Classification and prediction are two forms of data analysis that can be used to extract models describing important data classes or to predict future data trends. A Tree Classification algorithm is used to compute a decision tree. Decision trees are easy to understand and modify, and the model developed can be expressed as a set of decision rules.This system is intended to implement Myanmar Traditional Astrologyby using decision tree algorithm. In this system, training data of astrology are classified by decision trees algorithm and IF-THEN rules. Among Astrologies, five classes of them is represented in this paper. Depending upon the input data, the birthdate, of astrology, the system can classify the type of the astrology that is Aries or Taurus or Gemini and so on.