Abstract:
Nowadays, banks are financial institutions whose activities are to
collect funds from the public in the form of deposits (saving deposit and
time deposit). Deposits are an alternative for customers because the interest
offered on deposits is higher than regular savings. So, this system is
proposed as the bank depositor classification system by using data mining
(DM) methods. Among many DM methods, this system uses the ID3 and
Naive Bayesian classifiers to classify bank customer’s data. This system
predicts which customer will subscribe to a long-term deposit proposed by
a bank. Moreover, this system analyses the sensitivity, specificity and
accuracy of ID3 and Naive Bayesian classifiers. This system can help the
bank for identifying customers who will potentially open a time deposit so
that it can be used to assist the performance and operations of the bank.
