Goran Klepac

Goran Klepac, PhD, University College Professor works as a head of Strategic unit in Sector of credit risk in Raiffeisenbank Austria Inc, Croatia, Europe. In several universities in Croatia, he lectures subjects in domain of data mining, predictive analytics, decision support system, banking risk, risk evaluation models, expert system, database marketing and business intelligence. As a team leader, he successfully finished many data mining projects in different domains like retail, finance, insurance, hospitality, telecommunications, and productions. He is an author/coauthor of several books published in Croatian and English in domain of data mining. www.goranklepac.com

Publications

Particle Swarm Optimization Algorithm as a Tool for Profiling from Predictive Data Mining Models
Goran Klepac. © 2017. 29 pages.
This chapter introduces the methodology of particle swarm optimization algorithm usage as a tool for finding customer profiles based on a previously developed...
Customer Profiling in Complex Analytical Environments Using Swarm Intelligence Algorithms
Goran Klepac. © 2017. 32 pages.
Customer profiling is always an interesting task from perspective of business. It became even bigger challenge in situation of complex analytical environment....
Early Warning System Framework Proposal Based on Structured Analytical Techniques, SNA, and Fuzzy Expert System for Different Industries
Goran Klepac, Robert Kopal, Leo Mrsic. © 2017. 33 pages.
Early warning systems are made with purpose to efficiently recognize deviant and potentially dangerous trends related to company business as early as possible and...
Foreword
Goran Klepac. © 2016. 2 pages.
This Foreword is included in the book Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics.
Efficient Risk Profiling Using Bayesian Networks and Particle Swarm Optimization Algorithm
Goran Klepac, Leo Mrsic, Robert Kopal. © 2016. 34 pages.
Chapter introduce usage of particle swarm optimization algorithm and explained methodology, as a tool for discovering customer profiles based on previously...
Discovering Behavioural Patterns within Customer Population by using Temporal Data Subsets
Goran Klepac. © 2016. 37 pages.
Chapter represents discovering behavioural patterns within non-temporal and temporal data subsets related to customer churn. Traditional approach, based on using...
Data Mining Models as a Tool for Churn Reduction and Custom Product Development in Telecommunication Industries
Goran Klepac. © 2016. 28 pages.
This chapter represents the business case in the telecommunication company called Veza, in domain of churn prediction and churn mitigation. The churn project was...
Efficient Risk Profiling Using Bayesian Networks and Particle Swarm Optimization Algorithm
Goran Klepac, Leo Mrsic, Robert Kopal. © 2016. 33 pages.
Chapter introduce usage of particle swarm optimization algorithm and explained methodology, as a tool for discovering customer profiles based on previously...
Developing Churn Models Using Data Mining Techniques and Social Network Analysis
Goran Klepac, Robert Kopal, Leo Mršić. © 2015. 308 pages.
Churn prediction, recognition, and mitigation have become essential topics in various industries. As a means for forecasting and managing risk, further research in...
Early Warning System Framework Proposal Based on Structured Analytical Techniques, SNA, and Fuzzy Expert System for Different Industries
Goran Klepac, Robert Kopal, Leo Mrsic. © 2015. 34 pages.
Early warning systems are made with purpose to efficiently recognize deviant and potentially dangerous trends related to company business as early as possible and...
Data Mining Models as a Tool for Churn Reduction and Custom Product Development in Telecommunication Industries
Goran Klepac. © 2015. 27 pages.
This chapter represents the business case in the telecommunication company called Veza, in domain of churn prediction and churn mitigation. The churn project was...
Proposal of Analytical Model for Business Problems Solving in Big Data Environment
Goran Klepac, Kristi L. Berg. © 2015. 20 pages.
This chapter proposes a new analytical approach that consolidates the traditional analytical approach for solving problems such as churn detection, fraud...
Risk Evaluation in the Insurance Company Using REFII Model
Goran Klepac. © 2015. 21 pages.
A business case describes a problem present in all insurance companies: portfolio risk evaluation. Such analysis deals with determining the risk level as well as...
Particle Swarm Optimization Algorithm as a Tool for Profiling from Predictive Data Mining Models
Goran Klepac. © 2015. 29 pages.
This chapter introduces the methodology of particle swarm optimization algorithm usage as a tool for finding customer profiles based on a previously developed...
Data Mining Models as a Tool for Churn Reduction and Custom Product Development in Telecommunication Industries
Goran Klepac. © 2014. 27 pages.
This chapter represents the business case in the telecommunication company called Veza, in domain of churn prediction and churn mitigation. The churn project was...
Risk Evaluation in the Insurance Company Using REFII Model
Goran Klepac. © 2013. 21 pages.
A business case describes a problem present in all insurance companies: portfolio risk evaluation. Such analysis deals with determining the risk level as well as...
Preparing for New Competition in the Retail Industry
Goran Klepac. © 2010. 22 pages.
A business case presents a retail company facing new competitors and consequently preparing a customer retention strategy. The business environment in which the...
International Journal of Ambient Computing and Intelligence (IJACI)
Nilanjan Dey. Est. 2009.
In an ambient intelligence world, devices work in concert to support people in carrying out everyday life activities and tasks in a natural way using information...