Υλοποίηση συστήματος ανίχνευσης δραστηριότητας λογαριασμών ρομπότ κοινωνικών δικτύων by Μπερδέκας, Δημήτρης

“…It is im-portant to note that the steps followed for the creation of features are thoroughlypresented and explained, along with the rationale which led to the selection of thebeforementioned features.Afterwards, the model uses the STL Framework, in order to obtain the ability tolearn from unknown data and to be able to identify profiles with deviating behavior.The creation of those features, as well as the structuring of the machine learningalgorithm was achieved through the Python programming language.Finally, while the number of chosen features is smaller in comparison with otherresearches in the same topic, the results were encouraging, indicating that the selec-tion of the features was efficient, meaning that those features can accurately describethe classification problem, so as to identify the differences between a genuine userand a bot. …”
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Development of application for solving technological system reliability problems with intelligent evolutionary algorithms by Thymianis, Marios, Θυμιάνης, Μάριος

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