Directions
Study of algorithms and AI.
Integration of computing and physical processes in manufacturing and logistics.
Researching and applying mathematical techniques to optimise and learn from data.
The National Laboratories coordinated by HUN-REN SZTAKI aim to strengthen domestic R&D and boost the competitiveness of the economy with innovative, world-class solutions.
The goal of this Platform is to support Internet-based economy and innovation by stepping into a new era of technology. Read more
Scientific cloud services for research projects. Read more
Scientific Data Repository for the Hungarian Research Community. Read more
ALGORITHMICA, 80 (2)., pp. 560-575. ISSN 0178-4617
POLYGON, 6 (2)., pp. 45-61.
In: OSDM 2005. Open source data mining workshop on frequent pattern mining implementations. Chicago, 2005..
Annales Universitatis Scientarium Budapestinensis de Rolando Eötvös Nominatae. Sectio Mathematica (52)., pp. 45-51.
In: Proceedings of the 14th Meeting on the Mathematics of Language (MoL 14) ACL, Chicago, pp. 51-61.
In: 2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS) IEEE Computer Society, New York (N.Y.), pp. 474-484.
Typotex, Budapest, pp. 349.
Lecture Notes in Computer Science, 3861, pp. 83-91.
In: MLG 2010. Proceedings of the 8th workshop on mining and learning with graphs, in conjunction with SIGKDD 2010. Washington, 2010..
In: 48th Annual ACM SIGACT Symposium on Theory of Computing, STOC 2016 Association for Computing Machinery, Cambridge (MA), pp. 570-583. ISSN 0737-8017