Leo Mršić

Leo MršićLeo Mršic, PhD, University College Professor graduated with a major in insurance; earned MSc degree with a major in business statistics; earned PhD degree in data science all at University of Zagreb, Croatia, Europe. Combining business and technology approach, he has great field experience related to many industries like retail, insurance, finance, ICT, business law and project management. Has relevant top management and consulting experience participating in many projects across the supply chain with focus on retail. Active in conferences and guest lecturer on several university programs related to various aspects of business like management, consumer behavior, data science/data mining and managing business risks. Co-author on several books in area of data science and it’s appliance in business. Member of the board at Croatian Oracle Users Group, member and mentor at Young Executives Society in Croatia, member of Croatian Association of Court Expert Witness in Croatia.

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...
Smart Tourist Destination Management Using Demand Forecasting Techniques: Using Big Data for Destination Demand Forecasting as Part of a Destination Management System
Smart Tourist Destination Management Using Demand Forecasting Techniques: Using Big Data for Destination Demand Forecasting as Part of a Destination Management System
Leo Mrsic, Gorazd Surla, Mislav Balkovic. © 2020. 21 pages.
Tourism destination is the place where tourism demand and supply meet. Destination is often the main reason why people travel. In the first part of the chapter, the research is...
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...
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...
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...
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...
Widely Applicable Multi-Variate Decision Support Model for Market Trend Analysis and Prediction with Case Study in Retail
Widely Applicable Multi-Variate Decision Support Model for Market Trend Analysis and Prediction with Case Study in Retail
Leo Mršić. © 2014. 30 pages.
Chapter explains efficient ways of dealing with business problems of analyzing market environment and market trends under complex circumstances using heterogeneous data source....
International Journal of Energy Optimization and Engineering (IJEOE)
International Journal of Energy Optimization and Engineering (IJEOE)
Jose Marmolejo-Saucedo, Gerhard-Wilhelm Weber, Pandian Vasant. Est. 2012.
The International Journal of Energy Optimization and Engineering (IJEOE) publishes global research in the areas of energy optimization and engineering. This journal provides...