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Angelos Moavinis

Data Scientist

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Trajectory Outlier Detection

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About this project

Dissertation for the Data Science Master program of CSD AUTh. I studied the problem of trajectory outlier detection in urban traffic data. I implemented and experimented with pattern mining, clustering and SVM models to determine the top performing model in terms of accuracy and F1. I applied an automatic labeling technique to label the dataset.


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