Ara
Toplam kayıt 17, listelenen: 1-10
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 ...
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 ...