Yayın tarihi için Yönetim Bilişim Sistemleri 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 ... -
Using or not using business ıntelligence and big data for strategic management: An empirical study based on interviews with executives in various sectors
(Elsevier Science, 2016)Information Technology being an inevitable part of our lives changes the way of doing business every five or eight years. This known as technological cycle. The technology we use today becomes obsolete in several years’ ... -
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 ... -
The stability analysis of a system with two delays
(Springeropen, 2018)This paper presents new results of stability analysis for a linear system with two delays. We attempt to determine the asymptotic stability regions of the system in a parameter space by using D-partition method. Moreover, ... -
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 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 ... -
On the solutions of linear fractional differential equations of order 2q including small delay where 0 < q < 1
(RGN Publications, 2020)The main goal of this study is to find the solutions of linear fractional differential equations of order 2q, including small delay, where 0 < q < 1 which has various applications. The fractional derivatives are taken in ... -
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, ... -
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 ... -
Lemmatizer: Akıllı Türkçe kök bulma yöntemi
(International Balkan University, 2020)Yakın zamanda Türkçe doğal dil işleme alanında çeşitli çalışmalar yapılmıştır. Bu çalışmalar, üretilen akıllı bir sistemin Türkçe soru cevaplama, yazıyı başka bir dile çevirme, yazıyı özetleme,e-postalara otomatik yanıt ... -
A machine learning approach to predict creatine kinase test results
(Ital Publication, 2020)Most of the research done in the literature are based on statistical approaches and used for deriving reference limits based on lab results. As more data are available to the researchers, ML methods are more effectively ... -
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 ... -
Intelligent early warning system for epidural acute hematomas
(International Balkan University, 2020)Epidural hematoma (EAH) is the accumulation of blood in the space between the outer membrane of the brain (dura mater) and the bone. Acute subdural and epidural hematoma appears on CT scan as a hyper-dense collection often ... -
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 ...