Kitap Bölümü Koleksiyonu
Recent Submissions
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International market entry strategies
(IGI Global, 2023)Entry mode selection is one of the most strategic aspects of international business. The selection of international market entry strategy is an institutional decision that comprises the choice of target market, entry mode, ... -
Secure multi-party computation-based privacy-preserving data analysis in healthcare IoT systems
(Springer Science and Business Media Deutschland GmbH, 2023)Recently, many innovations have been experienced in healthcare by rapidly growing Internet-of-Things (IoT) technology that provides significant developments and facilities in the health sector and improves daily human life. ... -
How will metaverse and ai change traditional marketing techniques?
(IGI Global, 2023)The development of technology has transformed the process of product development and customer relationship building. It shows impressive results in deep learning and AI applications. Companies can see farther and make ... -
Post-epidemic national and institutional energy strategies
(Springer Science and Business Media Deutschland GmbH, 2023)In this study, the latest developments in the energy world are examined, the strategic plans carried out by the major energy producing countries (especially Russia, the United States, China and Europe) and the strategies ... -
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 ... -
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 ... -
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 ... -
Malicious URL detection using machine learning
(IGI Global, 2020)Recently, with the increase in Internet usage, cybersecurity has been a significant challenge for computer systems. Different malicious URLs emit different malicious software and try to capture user information. Signature-based ... -
The problem of depending on fossil fuels in the energy policies of the european union: A strategic analysis in the eastern mediterranean region
(Springer Science and Business Media Deutschland GmbH, 2022)The Eastern Mediterranean geographical area consists of an area surrounded by Europe in the North, Asia in the East, the Middle East in the Southeast, and Africa in the South. The Republic of Turkey is the country with the ... -
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 ... -
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 ... -
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 ... -
Identifying indicators of global financial crisis with fuzzy logic and data science: A comparative analysis between developing and developed economies
(Springer Science and Business Media Deutschland GmbH, 2021)The main purpose of this study is to define the leading indicators of the 2008 global financial crisis for both developing and developed economies. In this context, 16 different variables are defined with the help of ... -
Introduction to data science and machine learning algorithms
(Springer Science and Business Media Deutschland GmbH, 2021)Data science has gained importance since available data and hardware facilities have been ubiquitous. Algorithms to process a huge amount of data and extract information were developed decades ago. However, due to the lack ... -
The influence of the politicians on macroeconomic performance: An analysis of donald trump’s tweets
(Springer Science and Business Media Deutschland GmbH, 2021)The aim of this study is to understand the role of the politicians on the macroeconomic situation of the countries. For this purpose, the tweets of Donald Trump are taken into consideration. Text mining approach is used ... -
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 ... -
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 ... -
Robot process automation (RPA) and its future
(IGI Global, 2021)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 ... -
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 ...