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personal data approved: 2024. I. 13.
Personal data
László Szathmáry
name László Szathmáry
name of institution
doctoral school
DE Doctoral School of Informatics (Supervisor)
the share of work in the different doctoral schools. DE Doctoral School of Informatics 100%
Contact details
E-mail address szathmary.laszloinf.unideb.hu
phone number +36 52 512-900/75229
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 2006
discipline to which degree belongs computer sciences
institution granting the degree University Henri Poincaré, Nancy, France
scientific degree, title Habilitation
year degree was obtained 2015
discipline to which degree belongs computer sciences
institution granting the degree University of Debrecen
Employment
2012 - University of Debrecen
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now 1
number of students who fulfilled course requirements 0
students who obtained their degrees:
Moyeezullah Ghori Khawaja PhD 2021  UD-DSI

present PhD students:
Dhafer Gheni Honi Alshuwaili (PhD) (2027/08)  UD-DSI
  Thesis topic proposals
Research
research area data mining, Galois lattices and their applications, artificial intelligence, database systems, knowledge management / knowledge representation, Semantic Web technologies
research field in which current research is conducted computer sciences
Publications
2021

Khawaja MoyeezUllah Ghori, Muhammad Awais, Akmal Saeed Khattak, Muhammad Imran, Rabeeh Ayaz Abbasif, Szathmáry László: A Review on Latest Trends in Non-Technical Loss Detection, In: Fazekas, István; Hajdu, András; Tómács, Tibor (szerk.) Proceedings of the 1st Conference on Information Technology and Data Science CITDS 2020), CEUR Workshop Proceedings (2021) pp. 131-139.
type of document: Part of book/Proceedings Paper
language: English
2021

Ghori Khawaja Moyeezullah, Awais Muhammad, Khattak Akmal Saeed, Imran Muhammad, Amin Fazal E., Szathmary Laszlo: Treating Class Imbalance in Non-Technical Loss Detection: An Exploratory Analysis of a Real Dataset, IEEE ACCESS 9: pp. 98928-98938.
type of document: Journal paper/Article
number of independent citations: 1
language: English
URL 
2020

Ghori Khawaja Moyeezullah, Abbasi Rabeeh Ayaz, Awais Muhammad, Imran Muhammad, Ullah Ata, Szathmary Laszlo: Performance Analysis of Different Types of Machine Learning Classifiers for Non-Technical Loss Detection, IEEE ACCESS 8: pp. 16033-16048.
type of document: Journal paper/Article
number of independent citations: 28
language: English
URL 
2020

Ghori Khawaja MoyeezUllah, Rabeeh Ayaz Abbasi, Awais Muhammad, Imran Muhammad, Ullah Atta, Szathmary Laszlo: Impact of Feature Selection on Non-technical Loss Detection, In: O’Conner, Lisa (szerk.) 2020 6th Conference on Data Science and Machine Learning Applications (CDMA), IEEE Computer Society Conference Publishing Services (CPS) (2020) pp. 19-24.
type of document: Part of book/Proceedings Paper
number of independent citations: 4
language: English
URL 
2020

Szathmáry László: Closed Association Rules, ANNALES MATHEMATICAE ET INFORMATICAE 51: pp. 65-76.
type of document: Journal paper/Article
language: English
URL 
2018

Mili Hafedh, Valtchev Petko, Szathmary Laszlo, Boubaker Anis, Leshob Abderrahmane, Charif Yasmine, Martin Louis: Ontology-based model-driven development of a destination management portal: Experience and lessons learned, SOFTWARE-PRACTICE & EXPERIENCE 48: (8) pp. 1438-1460.
type of document: Journal paper/Article
number of independent citations: 4
language: English
URL 
2018

Szathmary Laszlo: Finding frequent closed itemsets with an extended version of the Eclat algorithm, ANNALES MATHEMATICAE ET INFORMATICAE 48: pp. 75-82.
type of document: Journal paper/Article
number of independent citations: 1
language: English
2014

Laszlo Szathmary, Márton Ispány: CGT: a vertical miner for frequent equivalence classes of itemsets, In: Emőd, Kovács; Gábor, Kusper; Tibor, Juhász; Tibor, Tómács (szerk.) Proceedings of the 1st International Conference and Exhibition on Future RFID Technologies, Eszterházy Károly Főiskola (EKF) (2014) pp. 161-169.
type of document: Part of book/Proceedings Paper
language: English
2014

Szathmary L, Valtchev P, Napoli A, Godin R, Boc A, Makarenkov V: A fast compound algorithm for mining generators, closed itemsets, and computing links between equivalence classes, ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE 70: (1-2) pp. 81-105.
type of document: Journal paper/Article
number of independent citations: 3
language: English
URL 
2012

Szathmary L, Valtchev P, Napoli A, Godin R: Efficient Vertical Mining of Minimal Rare Itemsets, In: Szathmary, Laszlo; Priss, Uta (szerk.) Proceedings of the 9th International Conference on Concept Lattices and Their Applications (CLA '12), Universidad de Málaga (2012) pp. 269-280.
type of document: Part of book/Proceedings Paper
number of independent citations: 1
language: English
Number of independent citations to these publications:42 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
31
number of scientific publications:
31
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
0 
number of independent citations to scientific publications and creative works:
222

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )