Pristupačnost
Preserving Clusters in Synthetic Data Sets Based on Correlations and Distributions
Application of Machine Learning in Predicting Stock and Fund Movements
Mobile Application for Gym Training Tracking
Web Application for Accommodation Recommendation and Booking
Utilization of Open Data in Croatia for the Development of Innovative Applications
Web Application for Inventory Management
Analysis of Data Availability from Social Networking Systems
CroStats — visualization of population in Croatia
Modular system for managing a smart home
A Multivariate Approach to the Classification of Historical Floods on the Sava River in Zagreb
Predicting the 9-pin bowling matches results using supervised learning methods
The Challenges of NoSQL Data Warehousing
The Applicability of Functional Clustering in Analyzing Historical Floods of the Sava River in Zagreb
Data Set Synthesis Based on Known Correlations and Distributions for Expanded Social Graph Generation
Oblikovanje obogaćenoga društvenoga grafa na temelju koncepta udaljenosti
Analysis of Facebook Interaction as Basis for Synthetic Expanded Social Graph Generation
Determination of Friendship Intensity between Online Social Network Users Based on Their Interaction
Exploratory analysis of pairwise interactions in online social networks
Applying the Multiclass Classification Methods for the Classification of Online Social Network Friends
Social network analysis - examples from practice
Applying the Binary Classification Methods for Discovering the Best Friends on an Online Social Network
Automated extraction and visualization of learning concept dependencies using Q-matrices and exam results
Proof of Concept for Comparison and Classification of Online Social Network Friends Based on Tie Strength Calculation Model
University Social Network Benefits Analysis and Proposed Framework
The potential of SEPA Credit Transfer implementation in Croatia
Programski sustav za transformaciju i slanje e- računa
Promotional Forecast Model for Fast Moving Consumer Goods Stores
Using the interaction on social networks to predict real life friendship
Analysis and application of data models in business intelligence
Web aplikacija za kreiranje SEPA CT naloga za plaćanje
Analysis of selected areas in e-business
Programski sustav za napredno elektroničko potpisivanje u formatu XML
Building Implicit Corporate Social Networks: the Case of a Multinational Company
Treba li Hrvatskoj registar korisnika e-računa?
Concept, Development and Implementation of FER e- Invoice System
Scenario Modeling and Verification for Business Processes
Security of FER e-Invoice System
Business intelligence and electronic commerce
Educational, scientific and expert activities in the field of electronic business at the Faculty of Electrical Engineering and Computing
Data Warehouse for FER e-Invoice System
System for exchanging e-invoices using a communication network
Volleyball Information System
Using communication network for e-invoice exchange
Biography
LUKA HUMSKI (PhD) is assistant professor at University of Zagreb, Faculty of Electrical Engineering and Computing. He graduated at Faculty of Electrical Engineering and Computing with summa cum laude (1% of the best students) and finished his PhD study also with summa cum laude. His research interest includes data analysis, data mining, machine learning and electronic business. He works as a researcher at national and European research and other projects.
Teaching
University undergraduate
- Statistical Programming Fundamentals (Lecturer in charge)
- Statistical Programming Fundamentals (Lecturer in charge, Lecturer in charge)
- Final BSc Thesis (Lecturers)
- Fundamentals of Electrical Engineering (Lecturers)
- Fundamentals of Electrical Engineering (Lecturers)
- Project C (Lecturers)
University graduate
- Data Management (Lecturer in charge)
- E-Business Technologies (Lecturer in charge)
- Master Project (Lecturers)
- Mentored Seminar (Lecturers)
Postgraduate doctoral study programme
- Electronic Business (Lecturer in charge)
Postgraduate spec. study
- E-business security (Lecturer in charge)
Competences
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Computational and artificial intelligence
Machine learning -
Computers and information processing
Big Data applications Knowledge management Data handling Data processing Data analysis Data warehouses Web 2.0 Data mining -
Mathematics
Machine learning algorithms Prediction algorithms -
Professional communication
Relational databases Data processing -
Systems, man, and cybernetics
Data visualization -
Communications technology
Web 2.0