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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’ ...
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 ...
Employee promotion prediction by using machine learning algorithms for imbalanced dataset
(Institute of Electrical and Electronics Engineers Inc., 2022)
Promotion processes are one of the most important processes in terms of human resources. A promotion process organized fairly within the organization is a managerial tool that motivates employees and contributes to business ...
Customer segmentation in the retail sector: A data analytics approach
(Institute of Electrical and Electronics Engineers Inc., 2022)
Data analytics techniques are widely used in customer segmentation, which groups objects according to the similarity difference on each object and provides a high level of homogeneity in the same cluster or a high level ...
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, ...
Secure future healthcare applications through federated learning approaches
(Springer Science and Business Media Deutschland GmbH, 2024)
The healthcare field is so sensitive to data privacy and security due to including medical and personal information. Almost all healthcare applications are required to increase data security and privacy, which use traditional ...
A decision support system for detecting FIP disease in cats based on machine learning methods
(2024)
Cats are close friends who live with us in all aspects of life. Many diseases endanger the quality of life of cats that live with us. One of the most dangerous is infectious peritonitis in cats, also known as FIP; which ...
Tree fruit load calculation with image processing techniques
(2024)
Turkey holds a significant position in global olive production, with olives being a crucial component of its agricultural industry. The fruit load on trees directly correlates with olive tree yield, which in turn determines ...
Bridging the gap between technology and farming in agri-tech: a bibliometric analysis
(2024)
Agri-tech, or the application of technology to agriculture, has the power to transform farming methods and find solutions to the problems the industry faces. With an emphasis on comprehending the significance of numerous ...