Panagiotis Barlas

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Purpose – Data science is the study of the generalizable extraction of knowledge from data. It includes a variety of components and develops on methods and concepts from many domains, containing mathematics, probability models, machine learning, statistical learning, computer programming, data engineering, pattern recognition and learning, visualization and(More)
Discrete Event Simulation (DES) is traditionally one of the most popular operation research techniques. Nevertheless, organizations, and especially Small and Medium Enterprises (SMEs), are often reluctant to invest in DES projects. The lack of flexibility, high cost of developing and maintaining DES models, the high volume of data that these need in order(More)
Input data management is a time-consuming and costly for Discrete Event Simulation (DES) projects. According to research studies, the input data phase constitutes, on the average, can account for over a third of the time of an entire simulation project. This paper presents a newly developed Open Source (OS) tool, called the Knowledge Extraction (KE) tool(More)
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