e-banking prediction using data mining methods
Vasilis Aggelis, Panagiotis Anagnostou · International Conference on Artificial Intelligence · 2005
Data mining is a relatively new tendency in Informatics. Various companies and organizations adopt such methods in order to increase their profit and diminish their cost. The development and continuous training of prediction models is a very significant task, especially for bank organizations. The establishment of such models with the capacity of accurate prediction of future facts enhances the decision making and the fulfillment of the bank goals, especially in case these models are applied on specific bank units. E-banking can be considered such a unit receiving influence from a number of different sides. Application of data mining methods allows for successful prediction of e-banking parameters like the transactions volume conducted through this alternative channel in relation with other crucial parameters like the number of active users.