The work presented in this thesis has been performed within the collaboration among MHPC and the Analytic Solution Center (ASC), an offce which is part of Assicurazioni Generali Head Offce and is responsible of advanced analytic and big data projects. Generali proposed the overall topic: modelling of the customer database as a social network and community identification. The Analytic Solution Center took also care to identify such a large dataset within the company and its subsidaries. They finally identify the Genertel (a subsidiary company of Generali) customer-base archive as the dataset to work on. The data have been first anonymized by Genertel and then the anonymized dataset has been delivered for the analysis. The goal of the project is to implement on HPC resources a software able to detect the communities from the dataset identied.
|Titolo:||Characterization of the “Generali” customers as a network and profiling of its communities|
|Relatore/i esterni:||Cozzini, Stefano|
|Data di pubblicazione:||16-dic-2016|
|Aree SISSA:||Laboratorio Interdisciplinare|
|Appare nelle tipologie:||8.4 Master thesis in High Performance Computing (HPC)|