Constructing a Decision-Prediction Mechanism for Dynamic Data

43817

Nowadays, the amount of stored data is constantly growing because of the increasing internet usage and the developments in magnetic medium technology. It has been more complex to analyze this increasing amount of data, therefore new methods and technologies are needed. Today, data mining, is used for solving some of these problems and making future predictions. In this study; a decision tree application is developed for creating a credit policy by using data from a credit company. The application is developed on Oracle Data Miner and dynamical data preprocessing is done for creating the best model, and keeping the current model stable. Dynamical data processing is done automatically with some generated procedures. In addition, the success of data sets in decision tree and tuning of algorithm’s nodes over the model is discussed in the study. At the last stage of the study, the best model is applied and a decision-prediction mechanism is constructed for evaluation of the people’s case scoring for credit.

100

Data Optimization , Classification , Decision Tree , Dynamical Data Processing

International journal of advances in engineering and pure sciences

114

International journal of advances in engineering and pure sciences