dc.description.abstract |
Ceasing vehicles are affecting to the credit liquidity of the leasing company. This
research has been conducted to develop a tool to manage credit risk in leasing
companies using data mining. This tool will predict the ability of recoverability of the
loan and determine the most suitable plan for the customer. It is hypothesis that, using
data mining technology, the credit risk of leasing companies can be managed. Past
dataset from the leasing company has been used to create the data mining model.
When a customer comes to lease a vehicle, decision maker will get the information
from the customer and enter to the system as inputs then the system will predict the
tendency of recoverability of the loan and will give the suitable plans for the customer
after evaluating with the previously generated model. This system generated details
will support the decision maker to take his decision. The overall design includes
frontend software and it is connected to the WEKA API which issued under the GNU
General Public License.
The data model that is used in this tool to manage credit risk in leasing companies has
been tested by considering a data collected from the medium scale leasing company in
Sri Lanka. |
en_US |