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Σύστημα λήψης αποφάσεων και πρόβλεψης βλαβών πλοίων διοίκησης επιτήρησης Πολεμικού Ναυτικού μέσω ανάλυσης δεδομένων

Papaspyros Christos

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Summary

This paper is intended to analyze the term "Data Analysis" by giving a summary of what it is and in which areas it has already existed for so many years and some examples of data exploitation methods and the available conclusions.First, there will be reference to systems and databases that can accommodate a large amount of data. In addition, postgraduate work refers to data management systems whether they are programming languages or technology ready tools. I will describe the most common methods, techniques and ways of analyzing large quantities of data.Next goal of this paper is to focus on the Armed Forces and in particularly Hellenic Navy (HN). The HN is made up of a large number of ships which naturally suffer from damage, which varies according to the type of each ship.Therefore, the usefulness of data analysis will be linked to the case of HWN ships in relation to fault management. The Greek fleet as a whole often, either because of its age or the complexity of systems, which are used continuously due to increased operational requirements, is damaged which often and becomes the cause of a reduction in their combat capacity.Furthermore, this paper will deal with the collection of data, concerning the damage of some types of warships, which grouped and classified accordingly in order to draw conclusions and suggestions.Finally, any information collected can be used not only to correctly and quickly predict the stock of materials for damage repair but also for the readiness of the crew, of the workshops belonging to either the HN or to individuals. This way, the ships will always be ready for any danger or threat.

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