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Toplam kayıt 5, listelenen: 1-5
Developing machine learning methods for business intelligence
(Abdullah Gül Üniversitesi, 2018)
Detection of key attributes in text is an area of research, which attracts attention due to the increase of data and the availability of massive documents. Key attributes serve as metadata for documents and the discovery ...
Developing machine learning methods for network anomaly detection
(Abdullah Gül Üniversitesi, 2018)
Machine learning refers to training of a computer (machine) to be able to acquire knowledge from data (i.e. experience) and improve itself on a given task. The field of machine learning has become a mainstream, improving ...
DEVELOPMENT OF DATA MINING METHODOLOGIES AND MACHINE LEARNING MODELS TO UNDERSTAND CARDIOVASCULAR DISEASE MECHANISMS
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2020)
World Health Organization (WHO) reported that in 2016, 31% (17.9 million) of
the total deaths in the world were caused by Coronary Artery Disease (CAD) and
it is estimated that around 23.6 million people will die from ...
DEVELOPING A LABEL PROPAGATION APPROACH FOR CANCER SUBTYPE IDENTIFICATION PROBLEM
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2021)
Kanser terimi, anormal hücrelerin kontrolden çıkıp diğer dokuları istila ettiği hastalıkları tanımlamak için kullanılır. Çok sayıda kanser türü vardır ve birçok kanser türü, farklı klinik ve biyolojik etkileri olan çeşitli ...
MACHINE LEARNING BASED INTEGRATION OF miRNA AND mRNA PROFILES COMBINED WITH FEATURE GROUPING AND RANKING
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2021)
It is very important to understand the development and progression mechanisms
of the diseases at the molecular level. Revealing the functional mechanisms that cause
the disease not only contributes to the molecular ...