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Implementing adaptive strategies of decision support systems during crises
(Springer International Publishing Ag, 2017)A typical Decision Support System requires data access, a model enhanced with proper machine learning algorithms and a user interface. So, thanks to the development of fast machine learning algorithms and big data, Decision ... -
A framework for robust estimation of beta using information fusion approach
(Springer, 2018)In terms of financial management, the precise estimation of the beta of a financial asset is of vital importance. Beta is the measure of the relationship between the return of an asset or a portfolio and the market return ... -
Stability analysis of some dynamic economic systems modeled by state-dependent delay differential equations
(Springer, 2018)The research subject of many studies is the asymptotical behavior of dynamic systems with both continuous and discrete time scales for economical approaches. The qualitative theory of differential or difference equations ... -
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 ... -
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, ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ...