Başlık için Yönetim Bilişim Sistemleri listeleme
Toplam kayıt 64, listelenen: 26-45
-
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
An intelligent system for document-based banking processes
(Kahramanmaras Sutcu Imam University, 2022)Business process automation has been helping companies by eliminating mundane and repetitive tasks. Automation tools have been used in many sectors, providing high full-time employee (FTE) savings and low error rates to ... -
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, ... -
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 ... -
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 ... -
Non-cryptographic privacy preserving machine learning methods: a review
(Springer Science and Business Media Deutschland GmbH, 2024)In recent years, the use of Machine Learning (ML) techniques to exploit data and produce predictive models has become widespread in decision-making and problem-solving across various fields, including healthcare, energy, ... -
On the networks of large embeddings
(2024)We define a special network that exhibits the large embeddings in any class of similar algebras. With the aid of this network, we introduce a notion of distance that conceivably counts the minimum number of dissimilarities, ... -
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 ... -
Organizational sustainability, legitimacy, and multinational companies
(IGI Global, 2024)The aim of this book chapter is to anlayze how internationalization of multinational companies affect organiational sustainability. Organizational sustainability has a contrasting perspective with respect to the dual effects ... -
Performance comparison of K-means and DBSCAN methods for airline customer segmentation
(Uğur Şen, 2022)Organizations are now fully embracing ideas such as customer success, customer loyalty, customer experience management and customer satisfaction. The application of these concepts must be based on three pillars of technology, ...