Πρόβλεψη συμπεριφοράς πελατών τραπεζικού ιδρύματος με μεθόδους μηχανικής μάθησης
Customer behavior prediction in a banking campaign using machine learning techniques
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Keywords
Τραπεζικό μάρκετινγκ ; Ανάλυση δεδομένων ; Νευρωνικά δίκτυα ; Επαναδηγματοληψία ; Μηχανική μάθηση ; Λήψη αποφάσεωνAbstract
The thesis focuses on the study and analysis of banking marketing data, with the aim of
understanding the factors that influence customer response to promotional campaigns. The
purpose of the thesis is to investigate the socioeconomic and demographic characteristics
associated with the success of a communication strategy, as well as to draw useful conclusions
for improving the effectiveness of future actions.
The analysis was based on real data concerning telephone campaigns of banking institutions.
Through the systematic processing of the data, patterns and relationships between customer
characteristics and the results of communications were identified. Different machine learning
models and resampling techniques were used, with the results of the work highlighting the
importance of correct targeting and appropriate handling in telephone communications. The
thesis showed that specific demographic and communication characteristics of customers
significantly increase the probability of a positive response, which can be used to design more
efficient strategies.
Department
Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα ΠληροφορικήςNumber of pages
47Language
GreekCollections
Except where otherwise noted, this item's license is described as
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα