Predictive Modeling in selected database

Ivan Rožman

Master's thesis

Abstract:

This thesis deals with evaluation of customer(company) behaviour. The main goal is to discover and analyse all possible factors influencing and affecting their behaviour. The analysis will be based on bank direct marketing database. There will be used predictive analytics and data mining techniques, which learn from data to predict the future behaviour of individuals in order to make better decisions. To reach the main goal of the thesis there will be employed statistical procedures, such as exploratory data analysis, multivariate statistical methods and machine learning algorithms. In practical part of this thesis a predictive model for bank database will be made to predict future behaviour of customers, to predict will they subscribe for bank term deposit or not based on data collected through bank direct marketing. The data is related with direct marketing campaigns of a Portuguese banking institution. This thesis will be based on recommended and relevant information sources and authors personal knowledge.

Keywords

Statistical analysis, Predictive modeling, behaviour, Data mining, Big data

Language used: English

Date on which the thesis was submitted / produced: 30. 11. 2016

Thesis defence

• Supervisor: Ing. Tomáš Hlavsa, Ph.D.

Czech University of Life Sciences Prague

Faculty of Economics and Management

Master programme / field:
Systems Engineering and Informatics / Informatics