Abstract:
Data Mining is a step in the knowledge
discovery process consisting of particular data
mining algorithms that, under some acceptable
computational efficiency limitations, find patterns or
models in data [1]. 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. Decision tree is commonly
used for the gaining information for the purpose of
decision making. This paper intends to apply the
Decision tree induction ID3 algorithm on the
distributor’s performance data to generate the
classification model and this model can be used to
predict the promotion of rank for the distributors.
The dataset is used from ZhulianMulti-level
Marketing Company. 10-fold Cross Validation
accuracy method is used to approve the system
accuracy.
