Nowadays, network data integration is a demanding problem and still an open challenge, especially when dealing with large datasets. When collecting several data sets and heterogeneous data types on a given phenomenon of interest, the individual analysis of each data set will give only a particular view of such phenomenon. In contrast, integrating all the data will widen and deepen the results giving a more global view of the entire system.
Network Integration with INet algorithm / Policastro, Valeria; Magnani, Matteo; Angelini, Claudia; Carissimo, Annamaria. - (2023). (Intervento presentato al convegno Statistics@Naples tenutosi a Università degli Studi di Napoli Federico II nel 28/06/2023).
Network Integration with INet algorithm
Valeria Policastro;Annamaria Carissimo
2023
Abstract
Nowadays, network data integration is a demanding problem and still an open challenge, especially when dealing with large datasets. When collecting several data sets and heterogeneous data types on a given phenomenon of interest, the individual analysis of each data set will give only a particular view of such phenomenon. In contrast, integrating all the data will widen and deepen the results giving a more global view of the entire system.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
