Bölüm "İstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Yönetim Bilişim Sistemleri Bölümü" İşletme ve Yönetim Bilimleri Fakültesi için listeleme
Toplam kayıt 59, listelenen: 1-20
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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 of customer churn in the banking industry using data mining
(2022)Today, banks have a very important place in the great economic environments of countries. As in every sector, there are many competitors and a great competitive environment in the banking field. Especially individual ... -
Analysis of digital marketing strategies of deposit banks in Turkey via text mining twitter posts
(Springer, 2020)In today’s world, marketing activities of organizations through social media have become extremely important. While earlier marketing campaigns of organizations were provided through television advertisements and posters, ... -
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 ... -
Business intelligence application in the natural gas industry: A company case
(Springer Science and Business Media Deutschland GmbH, 2021)Recently, information technology tools have been extensively used to accelerate the flow of data, and huge amounts of data have been generated. Therefore, the advantages of having a large amount of data are quite high, ... -
Comparative study of the forecasting solar energy generation in Istanbul
(Springer Science and Business Media Deutschland GmbH, 2022)The importance of renewable energy sources makes it extremely important day by day due to the limited reserves of fossil fuels and the damage they cause to the environment. Fossil fuels play an important role in electrical ... -
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 ... -
Data augmentation based malware detection using convolutional neural networks
(PeerJ Inc., 2021)Due to advancements in malware competencies, cyber-attacks have been broadly observed in the digital world. Cyber-attacks can hit an organization hard by causing several damages such as data breach, financial loss, and ... -
Data mining applications in banking sector while preserving customer privacy
(Ital Publication, 2022)In real-life data mining applications, organizations cooperate by using each other’s data on the same data mining task for more accurate results, although they may have different security and privacy concerns. Privacy-preserving ... -
Defining the significant factors of currency exchange rate risk by considering text mining and fuzzy AHP
(Springer Science and Business Media Deutschland GmbH, 2021)This study aims to determine the factors affecting the exchange rate risk of companies. In this context, firstly, articles in the ScienceDirect database that contain exchange rate risk in their titles, abstracts, and ... -
Detecting Turkish fake news via text mining to protect brand integrity
(Gazi University, 2022)Fake news has been in our lives as part of the media for years. With the recent spread of digital news platforms, it affects not only traditional media but also online media as well. Therefore, while companies seek to ... -
Determining the ways to increase economic growth of developing and developed economies: An application with data mining and fuzzy TOPSIS
(Springer Science and Business Media Deutschland GmbH, 2021)This study aims to identify the influencing factors of economic growth for both developing and developed economies. Firstly, literature is reviewed, and 7 different variables are selected as leading indicators of the ... -
Diagnosis of Covid-19 via patient breath data using artificial intelligence
(Ital Publication, 2023)Using machine learning algorithms for the rapid diagnosis and detection of the COVID-19 pandemic and isolating the patients from crowded environments are very important to controlling the epidemic. This study aims to develop ... -
Differentiating gastrointestinal stromal tumors from leiomyomas using a neural network trained on endoscopic ultrasonography images
(Karger, 2022)Background: Endoscopic ultrasonography (EUS) is crucial to diagnose and evaluate gastrointestinal mesenchymal tumors (GIMTs). However, EUS-guided biopsy does not always differentiate gastrointestinal stromal tumors (GISTs) ... -
Discovering the chemical factors behind regional royal jelly differences via machine learning
(Bursa Uludag University, 2023)This study aims to discover the characteristic chemical factors for determining the region of royal jelly using machine learning. 84 samples from 13 different regions of Turkey were used for the study, and the chemical ... -
Doğal gaz tüketiminin modellenmesi: Türkiye için MARS yöntemiyle bir analiz
(Gaziantep Üniversitesi Sosyal Bilimler Enstitüsü, 2022)Bu çalışmada Türkiye’deki doğal gaz talebinin tahmin edilmesine yönelik model ortaya konması amaçlanmaktadır. Doğal gaz tüketimi bağımlı değişken olarak ele alınmış, buna bağlı olarak makroekonomik veriler, iklim koşulları, ... -
An early prediction and diagnosis of sepsis in intensive care units: An unsupervised machine learning model
(Mugla University, 2020)Sepsis infection, which is one of the most important causes of death in intensive care units, is seen as a severe global health crisis. If an early diagnosis of sepsis infection cannot be made, and treatment is not started ... -
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 ...