Zobrazeno 1 - 10 of 14 pro vyhledávání: '"Betul Kan Kilinc"'
1
Performance of the Hybrid Approach based on Rough Set Theory
Autor: Betul Kan Kilinc, Yonca Yazirli
Publikováno v: Pakistan Journal of Statistics and Operation Research. :217-224
One of the essential problems in data mining is the removal of negligible variables from the data set. This paper proposes a hybrid approach that uses rough set theory based algorithms to reduct the attribute selected from the data set and utilize re
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b04b70a0a7b6eb5e1973365491625bab
https://doi.org/10.18187/pjsor.v16i2.3069
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2
AÇIK VE UZAKTAN EĞİTİMİN KADIN GÜÇLENDİRMESİNDE ÖNEMİ: ANADOLU ÜNİVERSİTESİ ÖRNEĞİ
Autor: Güler Günsoy, Berna Yazici, Betul Kan Kilinc, Bülent Günsoy
Publikováno v: Volume: 7, Issue: 2 1-32
International Review of Economics and Management
In today’ s globalizing World, the important fact is that social utilitylevel of the society depends on people’s happiness in which education has aninarguable role on. This study first examines the concept of women empowermentboth theoretically a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23fe8ae9adf9dbc768f7acdbe07e072a
https://doi.org/10.18825/iremjournal.536247
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4
Perceptions and Opinions of Graduates about the Effects of Open and Distance Learning in Turkey
Autor: Bülent Günsoy, Guler Gunsoy, Berna Yazici, Betul Kan Kilinc
Publikováno v: Volume: 21, Issue: 1 121-132
Turkish Online Journal of Distance Education
The Turkish Online Journal of Distance Education, Vol 21, Iss 1, Pp 121-132 (2020)
WOS: 000507970700010
Open and distance learning in higher education provides an opportunity to individuals who cannot attend university full time on campus. Urban area residents especially have an advantage by accessing such higher education. Th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::521a84e14255c9a821c2e693dab84c04
https://doi.org/10.17718/tojde.690369
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6
Penalized Splines Fitting for a Poisson Response Including Outliers
Autor: Huruy Debessay Asfha, Betul Kan Kilinc
Publikováno v: Pakistan Journal of Statistics and Operation Research; Vol. 15 No. 4, 2019; 979-988
There have been various studies in the literature on investigating the relationship between a count response and several covariates. Most researchers study count variables and use traditional methods (i.e. generalized linear models- GLM). However, GL
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f7d133a3fa2463ab5777fb22dbfebf9
https://igi.indrastra.com/items/show/212296
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7
MODELING THE CONTRIBUTION OF DISTANCE EDUCATION TO STUDENTS’ PREPARATION FOR THE PROFESSIONS
Autor: Mustafa Cavus, Çağlar Karaduman, Betul Kan Kilinc, Güler Günsoy, Seda Tekeli, Berna Yazici, Bülent Günsoy
Publikováno v: Volume: 22, Issue: 1 106-119
Turkish Online Journal of Distance Education
There is an increasing interest in predicting the contribution level of open and distance learning to students' career, in order to perceive the pathway for higher quality standards. For this purpose, Anadolu University Faculty of Open Education, whi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a57d548b2f89cb102b58f7cf15e3cac
https://dergipark.org.tr/tr/pub/tojde/issue/58999/849890
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8
Variable selection with genetic algorithm and multivariate adaptive regression splines in the presence of multicollinearity
Autor: Aydın Erar, Berna Yazici, Baris Asikgil, Betul Kan Kilinc
Publikováno v: International Journal of ADVANCED AND APPLIED SCIENCES. 3:26-31
WOS: 000391109400004
In this paper, it is aimed to determine the true regressors explaining the dependent variable in multiple linear regression models and also to find the best model by using two different approaches in the presence of low, med
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8faa9c5db5b635c6784f3de83ba532e
https://doi.org/10.21833/ijaas.2016.12.004
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9
Appraisal of Performance of Three Tree-Based Classification Methods
Autor: Huruy Debessay Asfha, Betul Kan Kilinc
Publikováno v: Contributions to Statistics ISBN: 9783319732404
Classification methods use different algorithms to get better performance in research fields such as statistics, machine learning and computational analysis. This study reviews the traditional method, recursive partitioning, as well as newer classifi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f76e102d1eec81cfd1ea42fe4f88d853
https://doi.org/10.1007/978-3-319-73241-1_3
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