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pro vyhledávání: '"Rasim Çekik"'
Autor:
Rasim Çekik
Publikováno v:
Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi, Vol 32, Iss 2, Pp 1363-1375 (2024)
The COVID-19 pandemic has not only caused loss of life but also significantly affected people's emotional state. These emotional impacts have had serious consequences on societies and economies around the world. In order to repair these devastations
Externí odkaz:
https://doaj.org/article/180c314091dd4ceaa7699e276e7ff84f
Autor:
Rasim Çekik, Mahmut Kaya
Publikováno v:
Journal of Universal Computer Science, Vol 30, Iss 7, Pp 978-1005 (2024)
High dimensionality and sparsity are the primary issues in text classification. Using feature selection approaches, the most effective way to solve the problem is to select a subset of features. The most common and effective methods used for this pro
Externí odkaz:
https://doaj.org/article/0cea63073edf49c995473c65b8cc500e
Autor:
Alper Uysal, Rasim Çekik
In recent years, short texts are everywhere, especially in social media networks. Short text classification is an essential task for various applications related to the operations on short text documents. In many cases, using the entire feature set c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8b8800e29cc8336c623c7415fd92cad
https://hdl.handle.net/11503/2058
https://hdl.handle.net/11503/2058
Autor:
Rasim Cekik
Publikováno v:
IEEE Access, Vol 12, Pp 139316-139335 (2024)
Massively amounts of text data have been created on the Internet due to the widespread use of platforms like social media. Text classification is one of the most frequently used techniques for extracting useful information from text data. One of the
Externí odkaz:
https://doaj.org/article/28ec491671184eb39f85343dd0de2839
Autor:
Rasim Çekik, Sedat Telceken
Publikováno v:
Recent Developments and the New Direction in Soft-Computing Foundations and Applications ISBN: 9783319754079
WCSC
WCSC
The presence of missing value in a dataset can affect the performance of an analysis system such as classifier. To solve this problem many methods have been proposed in different studies using different theorems, analysis systems and methods such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be2b0deccb5b8497671ef9ac285fbef2
https://doi.org/10.1007/978-3-319-75408-6_4
https://doi.org/10.1007/978-3-319-75408-6_4
Autor:
Sedat Telceken, Rasim Çekik
WOS: 000426761200012
Discovering the common attributes of an object is an important problem in classification. The rough sets theory (RST) successfully reveals the relationship between an object, its attributes and classes and helps bring a solu
Discovering the common attributes of an object is an important problem in classification. The rough sets theory (RST) successfully reveals the relationship between an object, its attributes and classes and helps bring a solu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a746beda58df96b68ce57d800b460a3f
https://hdl.handle.net/11421/19854
https://hdl.handle.net/11421/19854
Autor:
Sedat TELÇEKEN, Rasim ÇEKİK
Publikováno v:
Anadolu University Journal of Science and Technology. A : Applied Sciences and Engineering, Vol 15, Iss 2, Pp 125-135 (2014)
Kaba kümeler teorisi (KKT), bulanık kümeler gibi uzman sistemler için analiz ve bilgi çıkarımında kullanılan kural tabanlı bir yöntemdir. Kaba kümeler eksik, tutarsız ve belirsiz veri kümelerini düzenleyerek değerlendirme için uygun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doajarticles::d23f7a3d2c94f1cec1f21fbb755f940e
http://dergipark.gov.tr/aubtda/issue/3041/42215?publisher=anadolu
http://dergipark.gov.tr/aubtda/issue/3041/42215?publisher=anadolu
Autor:
Sedat Telceken, Rasim Çekik
Publikováno v:
Volume: 15, Issue: 2 125-135
Anadolu University Journal of Science and Technology A-Applied Sciences and Engineering
Anadolu University Journal of Science and Technology A-Applied Sciences and Engineering
Rough sets theory (RST) is a rule-based method used for the analysis and data mining in expert systems such as fuzzy sets. Rough sets organize data sets with missing, inconsistent and ambiguous data and make them suitable for analysis and evaluation.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5fe47ffb3779d7704230e126f153808
https://doi.org/10.18038/btd-a.13841
https://doi.org/10.18038/btd-a.13841