Thesis topic proposal
Miklós Krész
Graph based data mining


Institute: University of Szeged
computer sciences
PhD School in Computer Science

Thesis supervisor: Miklós Krész
Location of studies (in Hungarian): SZTE
Abbreviation of location of studies: SZTE

Description of the research topic:

During the last years mining of unstructured data became a relevant filed both in business (telecommunications, finance, engineering) and research (bioinformatics, sociology, economics) applications. Among seemingly unstructured data sets, hidden graph structures are proved to be very useful in the analysis. The research goal is to develop efficient models and algorithms in the framework of graph based data mining, which are capable to solve real problems in the analysis of „Big Data”.

Further requirements (in Hungarian): 
Research topic for foreign applicants.

Number of students who can be accepted: 2

Deadline for application: 2017-03-31

2017. III. 21.
ODT ülés
Az ODT következő ülésére 2017. május 5-én 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).

All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 1.2343 ( 2017. II. 28. )