Robotic process automation (RPA for the implementation on machine learning based research

Recently, the concept of robotic process automation has been implemented widely in the area of digital business to improve productivity. However, exploiting this automation concept in the (machine learning) prediction-based research has not been thoroughly investigated and tested. Therefore, this research study the implementation of Robotic Process Automation (RPA) in the case study of predicting cloud User ID through the attributes of their logs and traces. This is conducted by proposing an approach model of applying the automation principle in mimicking the manual tasks of prediction research tasks using Artificial Neural Networks (ANN). Accordingly, the proposed approach model consists of the research tasks of (data gathering, data pre-processing, ANN implementation, and Result validation).Then these research tasks are tested manually and through the automation model using automation software (Macro-recorder). The results show that using the proposed model of PRA in conducting prediction research has a significant effect in reducing time-consumption and increasing accuracy. The results will be of interest to the research community in computer engineering and the automation study of research activities.