Erişim şekli için "info:eu-repo/semantics/embargoedAccess" Yönetim Bilişim Sistemleri listeleme
Toplam kayıt 10, listelenen: 1-10
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Analysis and prediction of e-customers' behavior by mining clickstream data
(IEEE, 2015)In a regular retail shop the behavior of customers may yield a lot to the shop assistant. However, when it comes to online shopping it is not possible to see and analyze customer behavior such as facial mimics, products ... -
Analysis waste water characteristics via data mining: A Muğla province case and external validation
(Taylor and Francis Ltd., 2019)This study is related to the analysis of characteristic parameters of domestic wastewater samples which are collected from municipal wastewater treatment plants located in the provinces of Muğla in Turkey. Used parameters ... -
Customer segmentation in the retail sector: A data analytics approach
(Institute of Electrical and Electronics Engineers Inc., 2022)Data analytics techniques are widely used in customer segmentation, which groups objects according to the similarity difference on each object and provides a high level of homogeneity in the same cluster or a high level ... -
Data analysis in health and big data: A machine learning medical diagnosis model based on patients’ complaints
(Taylor and Francis Inc., 2021)The emergence of big data made it possible to make better predictions and discover hidden patterns which contain a load of useful information. Like other domains, health discipline is also enjoying this new data science ... -
Early prediction of the severe course, survival, and ICU requirements in acute pancreatitis by artificial intelligence
(Elsevier B.V., 2023)Objective: To evaluate the success of artificial intelligence for early prediction of severe course, survival, and intensive care unit(ICU) requirement in patients with acute pancreatitis(AP).Methods: Retrospectively, 1334 ... -
An early warning system using machine learning for the detection of intracranial hematomas in the emergency trauma setting
(Turkish Neurosurgical Society, 2022)AIM: To present an early warning system (EWS) that employs a supervised machine learning algorithm for the rapid detection of extra-axial hematomas (EAHs) in an emergency trauma setting. MATERIAL and METHODS: A total of ... -
Employee promotion prediction by using machine learning algorithms for imbalanced dataset
(Institute of Electrical and Electronics Engineers Inc., 2022)Promotion processes are one of the most important processes in terms of human resources. A promotion process organized fairly within the organization is a managerial tool that motivates employees and contributes to business ... -
Robot process automation (RPA) and its future
(IGI Global, 2019)Many software automation techniques have been developed in the last decade to cut down cost, improve customer satisfaction, and reduce errors. Robotic process automation (RPA) has become increasingly popular recently. RPA ... -
Robotic Process Automation (RPA) applications in COVID-19
(Springer Science and Business Media Deutschland GmbH, 2021)The COVID-19 pandemic took the entire world by surprise. Governments and companies hastily implemented measures to protect public health as well as the countries’ economies. Many companies had to close their offices and ... -
Transfer learning-based convolutional neural network for COVID-19 detection with X-ray images
(Elsevier, 2021)Countries the world over have focused on protecting human health and combatting the COVID-19 outbreak. It has had a destructive effect on human health and daily life. Many people have been infected and have died. It is ...