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

Advanced Portfolio Management in Big Data Environments With Machine Learning and Advanced Analytical Techniques
Advanced Portfolio Management in Big Data Environments With Machine Learning and Advanced Analytical Techniques
Goran Klepac, Leo Mršić, Robert Kopal. © 2022. 25 pages.
The chapter will propose a novel approach that combines the traditional machine learning approach in churn management and customer satisfaction evaluation, which unite...
Proposal of Analytical Model for Business Problems Solving in Big Data Environment
Proposal of Analytical Model for Business Problems Solving in Big Data Environment
Goran Klepac, Kristi L. Berg. © 2019. 21 pages.
This chapter proposes a new analytical approach that consolidates the traditional analytical approach for solving problems such as churn detection, fraud detection, building...
Bayesian Networks and Evolutionary Algorithms as a Tool for Portfolio Simulation and Optimization
Bayesian Networks and Evolutionary Algorithms as a Tool for Portfolio Simulation and Optimization
Goran Klepac, Leo Mrsic. © 2019. 22 pages.
This chapter will propose solution how to recognise important factors within portfolio, how to derive new information from existing data and evaluate its importance factor. The...
Foreword
Foreword
Goran Klepac. © 2018.
This Foreword is included in the book Handbook of Research on Emergent Applications of Optimization Algorithms.
Using Particle Swarm Optimization Algorithm as an Optimization Tool Within Developed Neural Networks
Using Particle Swarm Optimization Algorithm as an Optimization Tool Within Developed Neural Networks
Goran Klepac. © 2018. 30 pages.
Developed neural networks as an output could have numerous potential outputs caused by numerous combinations of input values. When we are in position to find optimal combination...
Finding Optimal Input Values for Desired Target Output by Using Particle Swarm Optimization Algorithm Within Probabilistic Models
Finding Optimal Input Values for Desired Target Output by Using Particle Swarm Optimization Algorithm Within Probabilistic Models
Goran Klepac. © 2018. 32 pages.
Developed predictive models, especially models based on probabilistic concept, regarding numerous potential combinatory states can be very complex. That complexity can cause...
Particle Swarm Optimization Algorithm as a Tool for Profiling from Predictive Data Mining Models
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 predictive model...
Customer Profiling in Complex Analytical Environments Using Swarm Intelligence Algorithms
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. Complex analytical...
Early Warning System Framework Proposal Based on Structured Analytical Techniques, SNA, and Fuzzy Expert System for Different Industries
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 with...
Foreword
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
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 developed Bayesian...
Discovering Behavioural Patterns within Customer Population by using Temporal Data Subsets
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 conventional...
Data Mining Models as a Tool for Churn Reduction and Custom Product Development in Telecommunication Industries
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 divided into few...
Efficient Risk Profiling Using Bayesian Networks and Particle Swarm Optimization Algorithm
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 developed Bayesian...
Developing Churn Models Using Data Mining Techniques and Social Network Analysis
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 this field can...
Early Warning System Framework Proposal Based on Structured Analytical Techniques, SNA, and Fuzzy Expert System for Different Industries
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 with...
Data Mining Models as a Tool for Churn Reduction and Custom Product Development in Telecommunication Industries
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 divided into few...
Proposal of Analytical Model for Business Problems Solving in Big Data Environment
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 detection, building...
Risk Evaluation in the Insurance Company Using REFII Model
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 main risk...
Particle Swarm Optimization Algorithm as a Tool for Profiling from Predictive Data Mining Models
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 predictive model...
Data Mining Models as a Tool for Churn Reduction and Custom Product Development in Telecommunication Industries
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 divided into few...
Risk Evaluation in the Insurance Company Using REFII Model
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 main risk...
Preparing for New Competition in the Retail Industry
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 company was...
International Journal of Ambient Computing and Intelligence (IJACI)
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 and intelligence...