Browsing by Author "Duman, Ekrem"
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Preface: 13th cologne-twente workshop on graphs and combinatorial optimization (CTW 2015)
Duman, Ekrem; Alkaya, A. F.; Pickl, S.; Faigle, U. (Elsevier, 2019-01-10)N/A -
Profit-based artificial neural network (ANN) trained by migrating birds optimization: a case study in credit card fraud detection
Zakaryazad, Ashkan; Duman, Ekrem; Kibekbaev, Azamat (World Academy of Science, Engineering and Technology, 2015)A typical classification technique ranks the instances in a data set according to the likelihood of belonging to one (positive) class. A credit card (CC) fraud detection model ranks the transactions in terms of probability ... -
A profit-driven Artificial Neural Network (ANN) with applications to fraud detection and direct marketing
Zakaryazad, Ashkan; Duman, Ekrem (Elsevier, 2016-01-26)The rapid growth in data capture and computational power has led to an increasing focus on data-driven research. So far, most of the research is focused on predictive modeling using statistical optimization, while profit ... -
Profit-driven non-linear classification with applications to credit card fraud detection, churn prediction, direct marketing, and credit scoring
Zakaryazad, Ashkan (2015-11)The rapid growth in data capture and computational power has led to an increasing focus on data-driven research. So far, most of the research is focused on predictive modeling using statistical optimization where it is ... -
Profit-oriented classification : new approaches and business applications
Mahmoudi, Nader (2015-11)Classification problems are the most common prediction problems that have traditionally been tackled by the data mining (DM) algorithms. The objective taken in these algorithms is a statistical one aimed to minimize the ... -
Project management methodologies for new product development
Kıranç, Mert (2018-05)This thesis intends to create an integrated project management methodology for the ones who focus on new product development projects. In order to build an integrated methodology, four different management systems are ... -
Real-time event correlation and alarm rule mining models for complex event processing systems
Çelebi, Ömer Faruk (2013-08)World is creating the same quantity of data every two days, as it created from up until 2003. Evolving data streams are key factor for the growth of data created over the last few years. Streaming data analysis in real-time ... -
Social media analytical CRM: a case study in a bank
Duman, Ekrem (IOS Press, 2023)The use of the social media (SM) has become more and more widespread during the last two decades, the companies started looking for insights for how they can improve their businesses using the information accumulating ... -
Solving a new application of asymmetric TSP by modified migrating birds optimization algorithm
Duman, T.; Duman, Ekrem (Springer, 2023-07)In this study, we first introduce a new application of the asymmetric traveling salesman problem which is about a small restaurant with one cook and a single stove. Once a meal has started cooking on the stove, the cook ... -
Solving credit card fraud detection problem by the new metaheuristics migrating birds optimization
Duman, Ekrem; Elikucuk, I. (Springer Science+Business Media, 2013)Statistical fraud detection problem is a very difficult problem in that there are very few examples of fraud. The great majority of transactions are legitimate. On the other hand, for this binary classification problem the ... -
Turkish cashier problem with time windows and its solution by Migrating bird optimization algorithm
Bassaleh, Ahmad; Duman, Ekrem (IEEE, 2023)A new application of the traveling salesman problem referred to as the Turkish cashier problem (TCP) was recently introduced in literature. The problem revolved around a cashier that must visit several locations and return ... -
VRP12 (vehicle routing problem with distances one and two) with side constraints
Ceranoglu, A. N.; Duman, Ekrem (Elsevier, 2013-08)The problem undertaken in this study is inspired from a real life application. Consider a vehicle routing problem where the distances between the customer locations are either one or two. We name this problem as VRP12 in ...
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