Pristupačnost
Data Set Synthesis Based on Known Correlations and Distributions for Expanded Social Graph Generation
Analysis of Facebook Interaction as Basis for Synthetic Expanded Social Graph Generation
Exploratory analysis of pairwise interactions in online social networks
Determination of Friendship Intensity between Online Social Network Users Based on Their Interaction
Social network analysis - examples from practice
Applying the Binary Classification Methods for Discovering the Best Friends on an Online Social Network
Applying the Multiclass Classification Methods for the Classification of Online Social Network Friends
Proof of Concept for Comparison and Classification of Online Social Network Friends Based on Tie Strength Calculation Model
Automated extraction and visualization of learning concept dependencies using Q-matrices and exam results
University Social Network Benefits Analysis and Proposed Framework
The potential of SEPA Credit Transfer implementation in Croatia
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
Programski sustav za transformaciju i slanje e- računa
Promotional Forecast Model for Fast Moving Consumer Goods Stores
Does Croatia need an e-invoice users registry?
Building Implicit Corporate Social Networks: the Case of a Multinational Company
Data Warehouse for FER e-Invoice System
Scenario Modeling and Verification for Business Processes
Concept, Development and Implementation of FER e- Invoice System
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
Volleyball Information System
Biography
LUKA HUMSKI (PhD) is research assistant 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 duties
University undergraduate
- Fundamentals of Electrical Engineering (Lecturers)
- Fundamentals of Electrical Engineering (Lecturers)
- Fundamentals of Electrical Engineering (Lectures)
- Fundamentals of Electrical Engineering (Lectures)
University graduate
- Data Management (Lectures)
- E-Business Technologies (Lectures)
- Laboratory of Telecommunication and Informatics 2 (Lecturers)
- Statistical Programming Fundamentals (Lectures)
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