Query Library Development and Anomaly Detection on Flight Data

Pozzoli, Davide (2022) Query Library Development and Anomaly Detection on Flight Data. [Laurea magistrale], Università di Bologna, Corso di Studio in Artificial intelligence [LM-DM270], Documento full-text non disponibile
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During the last semester of the Master’s Degree in Artificial Intelligence, I carried out my internship working for TXT e-Solution on the ADMITTED project. This paper describes the work done in those months. The thesis will be divided into two parts representing the two different tasks I was assigned during the course of my experience. The First part will be about the introduction of the project and the work done on the admittedly library, maintaining the code base and writing the test suits. The work carried out is more connected to the Software engineer role, developing features, fixing bugs and testing. The second part will describe the experiments done on the Anomaly detection task using a Deep Learning technique called Autoencoder, this task is on the other hand more connected to the data science role. The two tasks were not done simultaneously but were dealt with one after the other, which is why I preferred to divide them into two separate parts of this paper.

Tipologia del documento
Tesi di laurea (Laurea magistrale)
Autore della tesi
Pozzoli, Davide
Relatore della tesi
Corso di studio
Ordinamento Cds
Parole chiave
time series,anomaly detection,autoencoder,Spark
Data di discussione della Tesi
6 Dicembre 2022

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