Thesis supervisor: Attila Kiss
Location of studies (in Hungarian): Faculty of Informatics, Eötvös Loránd University Abbreviation of location of studies: ELTE
Description of the research topic:
Analysis of large data sets is called data science. This includes collecting, cleaning and storage of data with related algorithms, as well as the analysis used data-mining techniques, statistical analysis, classification, clustering, searching for common patterns. Because the data may contain sensitive information, such as customer data, therefore it requires safety solutions for the storage, processing and results publication. Efficient solutions for data centers typically use large real or virtual computer networks running on shared systems. The research task is the development of new, effective solutions for any of these areas (databases, data mining, data science, security solutions, virtualization, distributed processing) and formalization, analysis from mathematical or information technology aspects, and to design algorithms, implementation, and comparison with already known solutions.
Required language skills: English Number of students who can be accepted: 1
Deadline for application: 2018-05-31
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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