معرفی
Anders Gidenstam is affiliated with the University of Borås, Department of Information Technology, within the Faculty of Librarianship, Information, Education and IT. His doctoral thesis, 'Algorithms for Synchronization and Consistency in Concurrent System Services,' highlights his research background. He has contributed to interdisciplinary work, such as a 2022 study on predicting customer churn in retail using data-driven approaches. His research interests include data science, machine learning, and retail analytics, focusing on predictive modeling and feature analysis. Recent work involves analyzing customer behavior through RFM metrics and gradient boosting techniques. No awards or grants are explicitly mentioned in the provided texts, but his involvement in collaborative projects like INSiDR (funded by the Knowledge Foundation) is noted. No lab affiliations or teams are detailed in the available data.
