Thesis supervisor: József Dombi
Location of studies (in Hungarian): SZTE Abbreviation of location of studies: SZTE
Description of the research topic:
The aim of the research to develop efficient algorithm in the area of decision trees clustering and one-class learning. This algorithm works over inequality systems and by using continuous (fuzzy like) valued logic they can be handle in a uniform way.
The task of the applicant is to learn how the algorithms work, to use a fuzzy like logic and to test the efficiency and accuracy of the new methods.
Number of students who can be accepted: 1
Deadline for application: 2022-03-15
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).