Search Results - "Pintar, Damir"

A Combinatorial Approach in Predicting the Outcome of Tennis Matches by Šarčević, Ana, Vranić, Mihaela, Pintar, Damir

“…Tennis, as one of the most popular individual sports in the world, holds an important role in the betting world. There are two main categories of bets:…”
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Cybersecurity Knowledge Extraction Using XAI by Šarčević, Ana, Pintar, Damir, Vranić, Mihaela, Krajna, Agneza

“…Global networking, growing computer infrastructure complexity and the ongoing migration of many private and business aspects to the electronic domain commonly…”
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Credit Card Fraud Detection in Card-Not-Present Transactions: Where to Invest? by Mekterović, Igor, Karan, Mladen, Pintar, Damir, Brkić, Ljiljana

“…Online shopping, already on a steady rise, was propelled even further with the advent of the COVID-19 pandemic. Of course, credit cards are a dominant way of…”
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Data Set Synthesis Based on Known Correlations and Distributions for Expanded Social Graph Generation by Petricioli, Lucija, Humski, Luka, Vranic, Mihaela, Pintar, Damir

“…Nowadays, data created through the usage of different services are most commonly not available to the average researcher. Security and privacy have become a…”
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Analysis of Facebook Interaction as Basis for Synthetic Expanded Social Graph Generation by Humski, Luka, Pintar, Damir, Vranic, Mihaela

“…Social networks have long been the subject of scientific researches, frequently hindered by the unavailability of representative datasets. The advent of online…”
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Modeling In-Match Sports Dynamics Using the Evolving Probability Method by Šarčević, Ana, Pintar, Damir, Vranić, Mihaela, Gojsalić, Ante

“…The prediction of sport event results has always drawn attention from a vast variety of different groups of people, such as club managers, coaches, betting…”
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Improved Visualization of Frequent Itemset Relationships Using the Minimal Spanning Tree Algorithm by Vranic, Mihaela, Pintar, Damir, Skopljanac-Macina, Frano

“…Descriptive data mining techniques offer a way of extracting useful information out of large datasets and presenting it in an interpretable fashion to be used…”
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Automatic extraction of learning concepts from exam query repositories by Pintar, Damir, Begušić, Domagoj, Škopljanac-Mačina, Frano, Vranić, Mihaela

“…Educational data mining (or EDM) is an emerging interdisciplinary research field concerned with developing methods for exploring the specific and diverse data…”
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Adapting hierarchical clustering distance measures for improved presentation of relationships between transaction elements by Vranić, Mihaela, Pintar, Damir, Gamberger, Dragan

“…Common goal of descriptive data mining techniques is presenting new information in concise, easily interpretable and understandable ways. Hierarchical…”
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Towards better understanding of frequent itemset relationships through tree-like data structures by Vranić, Mihaela, Pintar, Damir, Banek, Marko

“…•We propose representation of frequent itemsets relationships as tree-like structures.•We developed two algorithms for creating tree-like structures: top-down…”
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Exploratory analysis of pairwise interactions in online social networks by Humski, Luka, Pintar, Damir, Vranić, Mihaela

“…In the last few decades sociologists were trying to explain human behaviour by analysing social networks, which requires access to data about interpersonal…”
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Improving Classification Results in Network Data Analysis using Interpretability Methods by Begusic, Domazoj, Walker, Luke Frederick, Krznaric, Sanja, Pintar, Damir

“…Developing network intrusion detection and prevention systems usually leverage a rule-based approach, which is derived from rules defined by network security…”
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Predictive modeling of tennis matches: a review by Sarcevic, Ana, Vranic, Mihaela, Pintar, Damir, Krajna, Agneza

“…Predicting the outcome of sporting events has always been a popular area of interest for sports professionals as well as the general public. Although domain…”
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Exploratory Analysis of Pairwise Interactions in Online Social Networks by Humski, Luka, Pintar, Damir, Vranić, Mihaela

“…In the last few decades sociologists were trying to explain human behaviour by analysing social networks, which requires access to data about interpersonal…”
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Annotating Exam Questions Through Automatic Learning Concept Classification by Begusic, Domagoj, Pintar, Damir, Skopljanac-Macina, Frano, Vranic, Mihaela

“…Educational data mining(or EDM) is an emerging interdisciplinary research field concerned with developing methods for exploring the specific and diverse data…”
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Game-to-Game Prediction of NBA Players' Points in Relation to Their Season Average by Zovak, Trpimir, Sarcevic, Ana, Vranic, Mihaela, Pintar, Damir

“…NBA attracts a great deal of attention among sports analysts and sportsbooks regarding the prediction of various outcomes of each game, together with the…”
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Streamlining visualisation of geographical data through statistical programming tools by Brebric, Marina, Vranic, Mihaela, Pintar, Damir

“…In a world where the daily amount of generated data is overwhelming, it is getting increasingly difficult to extract useful information in a concise, easily…”
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Applying the multiclass classification methods for the classification of online social network friends by Sever, Nikolina, Humski, Luka, Ilic, Juraj, Skocir, Zoran, Pintar, Damir, Vranic, Mihaela

“…Online social networks (OSNs) are platforms which facilitate social interactions between their users through message exchange, photo and video sharing, status…”
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Automated extraction and visualization of learning concept dependencies using Q-matrices and exam results by Vranic, Mihaela, Pintar, Damir, Humski, Luka

“…Information systems of educational organizations often represent a potential well of useful information which can be discovered and interpreted by using…”
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Applying the binary classification methods for discovering the best friends on an online social network by Stupalo, Maja, Ilic, Juraj, Humski, Luka, Skocir, Zoran, Pintar, Damir, Vranic, Mihaela

“…Online social networks (OSN) are one of the most widely adapted services of the Internet infrastructure, Facebook being one of the most popular among them…”
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