TY  - JOUR
AU  - CHHABRA, AASHIMA
AU  - Botos, Szilvia
AU  - Felföldi, János
TI  - Digitized Value Chain in Food Industries: Opportunities and Challenges for SMEs
JF  - SEFBIS JOURNAL
J2  - SEFBIS J
VL  - 2023
PY  - 2023
PG  - 10
SN  - 1788-2265
UR  - https://m2.mtmt.hu/api/publication/33855058
ID  - 33855058
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Erdős, Ferenc
AU  - Enas, Elshebli
TI  - Economical Traffic Analysis Methods
JF  - SEFBIS JOURNAL
J2  - SEFBIS J
VL  - 2023
PY  - 2023
IS  - 1
SN  - 1788-2265
DO  - 10.14267/SEFBIS.2023.01
UR  - https://m2.mtmt.hu/api/publication/33720205
ID  - 33720205
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Huang, Xin
TI  - Online Learning in the COVID-19 Pandemic. Catastrophe or Opportunity?
TS  - Catastrophe or Opportunity?
JF  - SEFBIS JOURNAL
J2  - SEFBIS J
PY  - 2022
PG  - 10
SN  - 1788-2265
DO  - 10.14267/SEFBIS.2022.02
UR  - https://m2.mtmt.hu/api/publication/32826031
ID  - 32826031
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Németh, Richárd
TI  - The impact of COVID-19 on work performance, organizational communication and cyber security in the IT sector at enterprise level
JF  - SEFBIS JOURNAL
J2  - SEFBIS J
VL  - SEFBIS:2022:01
PY  - 2022
IS  - 1
SP  - 1
EP  - 10
PG  - 10
SN  - 1788-2265
UR  - https://m2.mtmt.hu/api/publication/33681600
ID  - 33681600
N1  - http://gikof.njszt.hu/media/sefbismmxxiipi.pdf
AB  - As a result of COVID-19, we have all seen an increase in stress due to the lifestyle and organizational changes
brought about by the crisis, a sharp depreciation of social relationships and a transformation in human relations
and communication at work. In my study, I sought to answer the question of how the measures introduced to
protect against COVID-19 and the mandatory home office induced changes in work and working conditions in
the corporate sector.
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Mátyus, Bálint
TI  - Monitoring the Duration of Use of Web-based Systems Using Clustering Procedures
JF  - SEFBIS JOURNAL
J2  - SEFBIS J
VL  - 2021
PY  - 2021
IS  - 14
SP  - 2
EP  - 14
PG  - 13
SN  - 1788-2265
UR  - https://m2.mtmt.hu/api/publication/32737475
ID  - 32737475
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Molnár, Géza
TI  - Ticketing Data Warehouse System Development. Challenges and Experiences
TS  - Challenges and Experiences
JF  - SEFBIS JOURNAL
J2  - SEFBIS J
VL  - 2021
PY  - 2021
IS  - 14
SP  - 14
EP  - 24
PG  - 11
SN  - 1788-2265
UR  - https://m2.mtmt.hu/api/publication/32683657
ID  - 32683657
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Abazi, Blerton
TI  - A New Approach and Framework for Risk Assessment Maturity
JF  - SEFBIS JOURNAL
J2  - SEFBIS J
VL  - 13
PY  - 2019
SP  - 62
EP  - 72
PG  - 11
SN  - 1788-2265
UR  - https://m2.mtmt.hu/api/publication/30845068
ID  - 30845068
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Gërvalla, Muhamet
AU  - Ternai, Katalin
TI  - The Impact of Industry 4.0 to the ERP Approach
JF  - SEFBIS JOURNAL
J2  - SEFBIS J
VL  - 13
PY  - 2019
SP  - 56
EP  - 62
PG  - 7
SN  - 1788-2265
UR  - https://m2.mtmt.hu/api/publication/30845005
ID  - 30845005
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Láng, Blanka
TI  - Solving Exercise Generation Problems Using the Improved EGAL Metaheuristic Algorithm
JF  - SEFBIS JOURNAL
J2  - SEFBIS J
VL  - 13
PY  - 2019
SP  - 23
EP  - 31
PG  - 8
SN  - 1788-2265
UR  - https://m2.mtmt.hu/api/publication/30843835
ID  - 30843835
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Brunner, Csaba
TI  - A Comparative Study of Antminer+ and Decision Tree Classification Performances
JF  - SEFBIS JOURNAL
J2  - SEFBIS J
VL  - 13
PY  - 2019
SP  - 15
EP  - 23
PG  - 9
SN  - 1788-2265
UR  - https://m2.mtmt.hu/api/publication/30843795
ID  - 30843795
AB  - There is an increasing demand for knowledge discovery from large datasets. One of the more common extraction
types is classification, placing entities into categories based on how similar their features are. Many new
algorithms are experimented with, one example is antminer+. It is a swarm intelligence-based approach, modeling
an ant colony’s foraging behavior. A key question is, how well it performs on benchmark data compared to
a known data mining algorithm. The answer depends on the classification metric of choice; it can achieve results
comparable to other data mining algorithms.
LA  - English
DB  - MTMT
ER  -