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, V., Magnani, M., Angelini, C., Carissimo, A.. - (2023). (Statistics@Naples Università degli Studi di Napoli Federico II 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.File in questo prodotto:
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