Abstract:
Data preprocessing is an important step in the
knowledge discover process and quality decisions
such as, real-world data which tend to be
incomplete, noisy and inconsistent data. The system
uses the discretization and concept hierarchy
generation, that transforms the numeric data to
categorical values in the data preprocessing
techniques.Moreover, this paper addresses the
speed and scalability issues by proposing a data
classification method which attributes selection
measure and the induction of decision tree
.Myanmar is a country that its’ economy is based on
agriculture. Crop production plays an important
role in the session of agriculture. So, this system
provides business application areas for crop
information. This system compares decision tree
generation time and the accuracy of the data
preprocessing with and without preprocessing data.
