The Adaptive Data Management Research Group focuses on several key research areas, including conceptual modelling, data migration and transformations, schema inference, querying over multi-model data, evolution management, the application of category theory, and machine learning.
Adaptive Data Management Research Group
- IndustryEducation, Industry Agnostic, Information & Communication Technologies, Science & Research
- InstitutionCharles University
- Faculty / InstituteFaculty of Mathematics and Physics
- Research typeBasic
- Research areaAutomated Planning, Scheduling & Optimisation, Data Science, Distributed Autonomous Systems, Human-AI Interaction, Machine Learning, Reinforcement Learning
multi-model database systems, data modelling, schema evolution, propagation of changes, querying, data migration, data transformation, query optimization, cross-model querying, data redundancy, data management, data advisors, autonomous database management systems, machine learning, reinforcement learning, category theory, graph database systems, relational database systems, data profilling, metadata, functional dependencies
- ContactPavel Koupil
- Emailpavel.koupil@matfyz.cuni.cz
- Websitehttps://www.ksi.mff.cuni.cz/~koupil/
- AddressMalostranské náměstí 2/25, 118 00 Praha