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Roma Puronaitė

Department: Cognitive Computing Group
Position: PhD student
Field: Informatics

Address: Akademijos st. 4, room 608A, Vilnius
Tel: (+370 5) 210 9312
E-mail:  

 

 

Doctoral studies

Theme Clustering Algorithms for Medical Big Data

Supervisor Prof. Dr. Audronė Jakaitienė

Study time 2017 10 01–2023 09 16 (2019 10 16–2021 09 30 academic holidays)

Aim: The aim is to propose a clustering algorithm that would increase the performance of clustering on medical big data.

Main problems:

  1. To investigate most popular clustering methods commonly used for medical big data clustering.
  2. To compare selected clustering algorithms using real medical data sets.
  3. To propose a new clustering algorithm to improve the performance of clustering on medical big data.
  4. To propose a solution for the implementation of proposed clustering algorithm in real-world medical data system. 

Presentations at scientific conferences

Annual Reporting Doctoral Conference of Informatics, October 24, 2018, Vilnius „Clustering algorithms for medical big data“ (Technical Report LT, Slides LT)