Titlebook: ICT Innovations 2019. Big Data Processing and Mining; 11th International C Sonja Gievska,Gjorgji Madjarov Conference proceedings 2019 Sprin

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Control-Group

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Prediction of Student Success Through Analysis of Moodle Logs: Case Study,ccess are found. Data is classified and modeled by using decision tree, Bayesian Network and Support Vector Machine algorithms. After training the model with a one-year course activity data, next years’ grades are predicted. We found that Decision tree classification gives the best accuracy on the test data for the prediction.

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Friendship Paradox and Hashtag Embedding in the Instagram Social Network,p paradox present in Instagram, which are often observed in social networks. Then, we conduct a detailed hashtag analysis and provide a method for hashtag representation and recommendation using natural language processing.

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Prediction of Student Success Through Analysis of Moodle Logs: Case Study,s. This paper presents a case study about students’ grade prediction by using data mining methods. Data obtained from Moodle log files are explored to understand the trends and effects of students’ activities on Moodle learning management system. Correlations of system activities with the student su

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