معرفی
Lylia Abrouk is a Research Professor in the Data Science department at the University of Burgundy. Her work focuses on leveraging semantic technologies, machine learning, and ontologies to address challenges in financial fraud detection and decision support systems.
Her research integrates:
- Semantic Web for knowledge representation and ontology population
- Community Detection in collaborative networks
- User Modeling for personalized decision support
- Machine Learning in financial analytics and automotive data
Recent publications highlight her contributions to:
- Ontology-driven fraud detection in interbank transactions
- Decision trees for cost-sensitive financial modeling
- Knowledge extraction using hybrid learning approaches
- Data analytics for automotive industry applications
She collaborates extensively within the Data Science team, applying semantic modeling to real-world problems in banking and insurance sectors.
۰مقاله منتشرشده
