Machine learning techniques for collective behavior identification
Parole chiave BIG DATA, DATA SCIENCE, MODELLAZIONE, RETI SOCIALI
Riferimenti MARCO MELLIA, LUCA VASSIO
Riferimenti esterni Idilio Drago (UNITO)
Gruppi di ricerca SmartData@PoliTO, Telecommunication Networks Group
Tipo tesi MODELLAZIONE E ANALISI DATI, MODELLISTICA
Descrizione In complex systems, there are interactions between entities and we want to characterize and extract the salient types of these interactions. The main applications we are interested to are online social networks like Facebook and Instagram or communication network, like darknets listening to incoming Internet traffic. The student will:
• Develop machine learning methodologies to identify coordinated events .
• Model the events as a graph and extract emerging patterns.
• Make the methodological approach scalable with smart approximations.
• Apply these methods to real networks (darknets, social networks), for which we already collected a lot of data
Conoscenze richieste Modellazione, analisi dati, python, possibilmente big data (pyspark)
Note Contact firstname.lastname@example.org
Scadenza validita proposta 18/03/2024 PROPONI LA TUA CANDIDATURA