Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Hasan B. Kartal"'
Publikováno v:
International Journal of Urban Planning and Smart Cities. 4:1-22
Previous studies examining the electricity consumption behavior using traditional research methods, before the smart-meter era, mostly worked on fewer variables, and the practical implications of the findings were predominantly tailored towards suppl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::674013faa901f52d20b2de2c4c612e77
https://doi.org/10.4018/ijupsc.318337
https://doi.org/10.4018/ijupsc.318337
Publikováno v:
International Journal of Information Management. 49:439-451
Mobile banking (MB) involving the use of mobile devices to access bank accounts for conducting financial transactions has proliferated in recent years but inconsistently among banking customers. This diversity of use increases the complexity of uncov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a599a18b1822535b80ea3bc3fa45ed64
https://doi.org/10.1016/j.ijinfomgt.2019.07.005
https://doi.org/10.1016/j.ijinfomgt.2019.07.005
Publikováno v:
Information Systems Frontiers. 21:773-790
Mobile banking (MB) has emerged as a strategic differentiator for financial institutions. This study explores the limitations associated with using subjective measures in MB studies that solely rely on survey-based approaches and traditional structur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a18e00cca8d318f766e24faa0ddf452e
https://doi.org/10.1007/s10796-018-9892-1
https://doi.org/10.1007/s10796-018-9892-1
Publikováno v:
Research Anthology on Clean Energy Management and Solutions ISBN: 9781799891529
The continuous development of energy management systems, coupled with a growing population, and increasing energy consumption, highlights the necessity to develop a deep understanding of household energy consumption behavior and interventions that fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd1ea44e04cc56ca9859af67459cb2af
https://doi.org/10.4018/978-1-7998-9152-9.ch039
https://doi.org/10.4018/978-1-7998-9152-9.ch039
Autor:
Hasan B. Kartal, Xiao-Bai Li
Publikováno v:
J Assoc Inf Syst
This study concerns the risks of privacy disclosure when sharing and releasing a dataset in which each individual may be associated with multiple records. Existing data privacy approaches and policies typically assume that each individual in a shared
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::375905f0ea2a4c7e17cdb2b22f29c719
https://europepmc.org/articles/PMC8315096/
https://europepmc.org/articles/PMC8315096/
Differential privacy has become one of the widely used mechanisms for protecting sensitive information in databases and information systems. Although differential privacy provides a clear measure of privacy guarantee, it implicitly assumes that each
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::409961f8c1bb2594fa70363a68014203
https://europepmc.org/articles/PMC6660000/
https://europepmc.org/articles/PMC6660000/
Publikováno v:
Computers & Industrial Engineering. 101:599-613
A multi-criteria inventory classification method was developed.Machine learning algorithms are integrated with multi-criteria decision making.A case study at an automotive company validates the model with its high accuracy.The proposed method yields
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6078ead77681f17a8478d3e16b221b4a
https://doi.org/10.1016/j.cie.2016.06.004
https://doi.org/10.1016/j.cie.2016.06.004
Publikováno v:
HICSS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::952da7f8cbd8a8ac2b210e94b09586ee
https://doi.org/10.24251/hicss.2018.110
https://doi.org/10.24251/hicss.2018.110
Publikováno v:
HICSS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76a618cf5ebec87ec5b47ecdf0ac3687
https://doi.org/10.24251/hicss.2017.137
https://doi.org/10.24251/hicss.2017.137
Autor:
Hasan B. Kartal, Ferhan Çebi
Publikováno v:
International Journal of Machine Learning and Computing. :154-157
This paper examined the classification performance of Support Vector Machines (SVMs) on multi-criteria inventory analysis. The ABC analysis using the Simple Additive Weighting (SAW) method was employed to determine inventory classes of items held in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8069cc9df125da942817d848ab888695
https://doi.org/10.7763/ijmlc.2013.v3.292
https://doi.org/10.7763/ijmlc.2013.v3.292