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personal data approved: 2016. X. 01.
Personal data
Ágnes Fogarassyné Vathy
name Ágnes Fogarassyné Vathy
year of birth 1973
name of institution
doctoral school
PE Doctoral School of Information Science and Technology (Supervisor)
Contact details
E-mail address vathydcs.uni-pannon.hu
phone number +36 88 624-712
Academic title
scientific degree, title Ph.D.
year degree was obtained 2009
discipline to which degree belongs computer sciences
institution granting the degree Eötvös Lóránd University
Employment
1998 - Pannon University, Veszprém
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now
number of students who fulfilled course requirements
students who obtained their degrees:
present PhD students:
(50%) Dániel Leitold (PhD) (2019/01)  DSIST-PE
  Thesis topic proposals
Research
research area data mining, data mining technologies in healthcare
research field in which current research is conducted computer sciences
Publications
2016

András Király , Ágnes Vathy-Fogarassy , János Abonyi : Geodesic distance based fuzzy c-medoid clustering – searching for central points in graphs and high dimensional data, FUZZY SETS AND SYSTEMS 286: pp. 157-172.
type of document: Journal paper/Article
language: English
DOI 
2016

Pigler Csaba, Fogarassy-Vathy Ágnes, Abonyi János: Scalable co-Clustering using a Crossing Minimization - Application to Production Flow Analysis, ACTA POLYTECHNICA HUNGARICA 13: (2) pp. 209-228.
type of document: Journal paper/Article
language: English
DOI 
2015

Á Vathy-Fogarassy, Cs Pigler , D Leitold, Süle Z: Detecting Community Structures Based on Neighborhood Relations, In: Szerk.: Gyula Vastag Research in the Decision Sciences for Global Business: Best Papers from the 2013 Annual Conference of the European Decision Sciences Institute. New Jersey: Pearson Education Limited, 2015. pp. 201-218.
type of document: Part of book/Könyvfejezet (to be translated)
language: English
2014

A Király, Á Vathy-Fogarassy, J Abonyi: Fuzzy c-Medoid Graph Clustering, In: Szerk.: Rutkowski Leszek, Szerk.: Korytkowski Marcin, Szerk.: Scherer Rafał, Szerk.: Tadeusiewicz Ryszard, Szerk.: Zadeh LotfiA, Szerk.: Zurada JacekM Artificial Intelligence and Soft Computing. Switzerland: Springer International Publishing, 2014. pp. 738-748. (Lecture Notes in Computer Science; 8468.)
type of document: Part of book/Könyvfejezet (to be translated)
language: English
DOI 
2013

Ágnes Vathy-Fogarassy, János Abonyi : Graph-Based Clustering and Data Visualization Algorithms, London: Springer, 121 p. (SpringerBriefs in Computer Science)
type of document: Book/Monography
number of independent citations: 2
language: English
DOI 
2009

Vathy-Fogarassy A, Abonyi J: Local and global mappings of topology representing networks, INFORMATION SCIENCES 179: (21) pp. 3791-3803.
type of document: Journal paper/Article
number of independent citations: 12
language: English
DOI 
2008

Vathy-Fogarassy A, Werner-Stark A, Abonyi J: Topology representing networks for the visualization of manifolds, JOURNAL OF MATHEMATICAL MODELLING AND ALGORITHMS 7: (4) pp. 351-370.
type of document: Journal paper/Article
number of independent citations: 1
language: English
DOI 
2007

Vathy-Fogarassy A, Werner-Stark A, Gal B, Abonyi J: Visualization of topology representing networks, In: Szerk.: Yin H, Szerk.: Tino P, Szerk.: Corchado E, Szerk.: Byrne W, Szerk.: Yao X 8th International Conference on Intelligent Data Engineering and Automated Learning. Berlin: Springer-Verlag, 2007. pp. 557-566. (Lecture Notes in Computer Science; 4881.)
type of document: Part of book/Proceedings Paper
number of independent citations: 6
language: English
DOI 
2006

Vathy-Fogarassy A, Kiss A, Abonyi J: Hybrid minimal spanning tree and mixture of gaussians based clustering algorithm, In: Szerk.: Dix J, Szerk.: Hegner SJ 4th International Symposium on Foundations of Information and Knowledge Systems. Budapest: Springer-Verlag, 2006. pp. 313-330. (LECTURE NOTES IN COMPUTER SCIENCE (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformat))
type of document: Part of book/Proceedings Paper
number of independent citations: 29
language: English
Scopus link 
2005

Vathy-Fogarassy A, Feil B, Abonyi J: Minimal Spanning Tree based Fuzzy Clustering, In:Szerk.: Ardil C Proceedings of World Academy of Science Engineering and Technology Conference of the World Academy of Science Engineering and Technology.Budapest, Magyarország, 2005.10.26-2005.10.28. Budapest: World Academy of Science, Engineering and Technology (WASET), pp. 7-12. Kiadvány: Budapest: World Academy of Science, Engineering and Technology (WASET), 2005.
type of document: Conference paper/Előadás vagy poszter cikke
number of independent citations: 16
language: English
Number of independent citations to these publications:66 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria (TV):
33
number of scientific publications (TV):
37
monographs and professional books (TV):
2
monographs/books in which chapters/sections were contributed:
3 
scientific publications published abroad that meet the accreditation criteria (TV):
12
publications not in Hungarian, published in Hungary, meeting the accreditation criteria (TV):
8
number of independent citations to scientific publications and creative works (TV):
86

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 1.2318 ( 2016. XI. 26. )