Publication entry:
Advanced Behavioral Analyses Using Inferred Social Networks: A Vision
- Full citation
- Holubová, I., Svoboda, M., Skopal, T., Bernhauer, D., & Peška, L. (2019). Advanced behavioral analyses using inferred social networks: A vision. International Conference on Database and Expert Systems Applications, 210–219.
- BibTeX citation file download
- holubova2019advanced.bib
Internal authors
Irena Holubová
Associate professor
Martin Svoboda
Lecturer
Tomáš Skopal
Deputy head of department, Professor
Ladislav Peška
Associate professor
Research topics
Recommender systems
Software that estimates, models and evaluates user preferences and needs, producing viable recommendations of items such as multimedia or goods that would match user interests.
Multi-model databases
Relatively recently emerged NoSQL and other modern database management systems allowed to deploy databases based on other logical models than just the traditional relational. Unfortunately, the number of available models, formats, implementations, and query languages the existing systems exploit, often proprietary, is not sustainable from a longer perspective. Therefore we focus on various aspects of efficient and unified management of multi-model data, including conceptual modeling, schema inference, unified querying, or evolution management.