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Solving credit card fraud detection problem by the new metaheuristics migrating birds optimization
(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 ...
Applying migrating birds optimization to credit card fraud detection
(Springer Science+Business Media, 2013)
We discuss how the Migrating Birds Optimization algorithm (MBO) is applied to statistical credit card fraud detection problem. MBO is a recently proposed metaheuristic algorithm which is inspired by the V flight formation ...
Exact methods for the robotic cell problem
(Springer Science+Business Media, 2011-06)
This paper investigates an exact method for the Robotic Cell Problem. We present a branch-and-bound algorithm which is the first exact procedure specifically designed with regard to this complex flow shop scheduling variant. ...
A near Pareto optimal approach to student–supervisor allocation with two sided preferences and workload balance
(Elsevier, 2019-03)
The problem of allocating students to supervisors for the development of a personal project or a dissertation is a crucial activity in the higher education environment, as it enables students to get feedback on their work ...
Profit-driven non-linear classification with applications to credit card fraud detection, churn prediction, direct marketing, and credit scoring
(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
(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 ...
Genetic algorithms and heuristics hybridized for software architecture recovery
(Springer, 2023-06-26)
Large scale software systems must be decomposed into modular units to reduce maintenance efforts. Software Architecture Recovery (SAR) approaches have been introduced to analyze dependencies among software modules and ...
HYGAR: a hybrid genetic algorithm for software architecture recovery
(ACM, 2022)
Genetic algorithms have been used for clustering modules of a software system in line with the modularity principle. The goal of these algorithms is to recover an architectural view in the form of a modular structural ...
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