Yayın tarihi için Yönetim Bilişim Sistemleri listeleme
Toplam kayıt 64, listelenen: 21-40
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How is the stock exchange index affected by the disclosures of politicians?
(Springer Science and Business Media Deutschland GmbH, 2021)The main purpose of this study is to understand the main influence of the politicians’ disclosure on the stock exchange index. In this context, a machine learning model is built in order to understand the hidden patterns ... -
Profitability prediction of Turkish banking industry: A comparative analysis with data science and fuzzy ANP
(Springer Science and Business Media Deutschland GmbH, 2021)In this study, it is aimed to estimate the factors affecting the profitability of the Turkish banking sector. For this purpose, 34 different variables were firstly determined by literature review. Then, with the help of ... -
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 ... -
Insights into mobile health application market via a content analysis of marketplace data with machine learning
(Public Library of Science, 2021)Background Despite the benefits offered by an abundance of health applications promoted on app marketplaces (e.g., Google Play Store), the wide adoption of mobile health and e-health apps is yet to come. Objective This ... -
How to engage consumers through effective social media use-guidelines for consumer goods companies from an emerging market
(Universidad de Talca, 2021)This study aims to establish actionable guidelines and provide strategic insights as a means of increasing the social media effectiveness of consumer brands. Post-related factors in addition to the contextual and temporal ... -
A generative model based adversarial security of deep learning and linear classifier models
(Slovene Society Informatika, 2021)In recent years, machine learning algorithms have been applied widely in various fields such as health, transportation, and the autonomous car. With the rapid developments of deep learning techniques, it is critical to ... -
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 ... -
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 ... -
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, ... -
RPA in energy and utilities
(Springer Science and Business Media Deutschland GmbH, 2021)Robotic Process Automation (RPA) is an effective technology that uses software robots that typically mimic an employee to automate everyday tasks. These tasks are often related to the business processes of the E&U companies ... -
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 ... -
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 ... -
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 ... -
Sürdürülebilir ekonomik kalkınma bağlamında havayolu sektörüne yönelik etkin yatırım stratejilerinin belirlenmesi
(Gaziantep Üniversitesi, 2022)Bu çalışmanın amacı sürdürülebilir ekonomik kalkınma bağlamında havayolu sektörüne yönelik müşteri memnuniyeti bazlı yatırım stratejilerinin belirlenmesidir. Bu amaca yönelik olarak, havacılık sektöründe müşterilerin ... -
Recent applications of data mining in medical diagnosis and prediction
(Elsevier, 2022)Big data has been used in the health sector to improve the quality of life, predict epidemics, cure diseases, and avoid preventable deaths, beyond increasing profits or reducing the burden of excess labor. Data sources in ... -
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 ... -
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 ... -
Prediction of general anxiety disorder using machine learning techniques
(Nova Science Publishers, Inc., 2022)Today, the increase in mental health problems, the variable nature of mental health and the lack of sufficient number of mental health professionals have led to the search for machine learning that applied to mental health ... -
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 ... -
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, ...