Abstract:
Data Mining is the task of discovering
interesting pattern from large amounts of data where
the data can be stored in database, data warehouse.
Data classification is the process of building a model
from available data called the training data set and
classifying objects according to their attributes.
Decision tree algorithms have been used for
classification in a wide range of application
domains. The aim of this paper is to study about
decision tree algorithm. This system is intended to
develop the type of Myanmar’s paddy data by using
decision tree induction classification algorithm,
Depending upon the data tuples of paddy dataset, the
system can classify the type of paddy data whether it
is good or bad quality and quantity.
