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Št. zadetkov: 3
K-vertex: a novel model for the cardinality constraints enforcement in graph databases
Martina Šestak, Muhamed Turkanović, Kornelije Rabuzin
Doktorska disertacija
Oznake: graph database;K-vertex cardinality constraint;cardinality;business rule;property graph data model;property graph schema;hypernode;performance analysis;fraud detection;data classification;
The increasing number of network-shaped domains calls for the use of graph database technology, where there are continuous efforts to develop mechanisms to address domain challenges. Relationships as 'first-class citizens' in graph databases can play an important role in studying the structural and ...
Leto: 2022 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
Implementing domains in Neo4j
Maja Cerjan, Kornelije Rabuzin, Martina Šestak
Izvirni znanstveni članek
Oznake: omejitve;podatkovne baze;šifre;NoSQL;graph databases;domains;cypher;Neo4j;constraints;
Leto: 2024 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
Comparative analysis of machine learning models for telecommunications churn prediction
Maja Cerjan, Leo Mršić, Kornelije Rabuzin, Biljana Mileva-Boshkoska
Objavljeni znanstveni prispevek na konferenci
Oznake: customer churn;telecommunications;churn prediction;logistic regression;neural networks (MLP);Python;R;nested cross-validation;
Customer retention is a major problem in the telecommunications industry. This study develops and evaluates models to identify possible churners. Machine learning techniques (“Decision Trees”, “Random Forests”, “Logistic Regression” and “Neural Networks (multilayer perceptron MLP)”) were applied thr ...
Leto: 2025 Vir: Fakulteta za informacijske študije v Novem mestu (FIŠ)
Št. zadetkov: 3
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