Browsing by Author "Uzun-Per, Meryem"
Now showing items 1-6 of 6
-
Big data testing framework for recommendation systems in e-science and e-commerce domains
Uzun-Per, Meryem; Can, Ali Burak; Gürel, Ahmet Volkan; Aktaş, Mehmet S. (IEEE, 2021)Software testing is an important process to evaluate whether the developed software applications meet the required specifications. There is an emerging need for testing frameworks for big data software projects to ensure ... -
Feature selection in customer churn analysis: Case study in B2B business
Sancar, Semanur; Uzun-Per, Meryem (Institute of Electrical and Electronics Engineers Inc., 2022)Customer churn analysis is one of the machine learning applications that has become a hot topic in businesses with the developing technology. Since the performance of fore-casting algorithms is directly affected by the ... -
A novel sequential pattern mining algorithm for large scale data sequences
Can, Ali Burak; Uzun-Per, Meryem; Aktaş, Mehmet Sıddık (Springer, 2022)Sequential pattern mining algorithms are unsupervised machine learning algorithms that allow finding sequential patterns on data sequences that have been put together based on a particular order. These algorithms are mostly ... -
On the big data processing algorithms for finding frequent sequences
Can, Ali Burak; Zaval, Mounes; Uzun-Per, Meryem; Aktaş, Mehmet Sıddık (Wiley, 2023)Sequential pattern mining algorithms extract trendy sequence appearances insideordered transactional datasets such as market basket datasets. There is a lack ofresearch employing big data processing techniques to locate ... -
Scalable recommendation systems based on finding similar items and sequences
Uzun-Per, Meryem; Gürel, Ahmet Volkan; Can, Ali Burak; Aktaş, Mehmet S. (Wiley, 2022)The rapid growth in the airline industry, which started in 2009, continued until the COVID-19 era, with the annual number of passengers almost doubling in 10 years. This situation has led to increased competition between ... -
Testing the performance of feature selection methods for customer churn analysis: Case study in B2B business
Sancar, Semanur; Uzun-Per, Meryem (Springer, 2023)Churn analysis has recently become one of the favorite topics of marketing teams with the development of machine learning models. This study aims to discover the most suitable feature selection (FS) model for churn analysis ...
