Hypergraph Mining for Social Networks


Autoria(s): Bergami, Giacomo
Contribuinte(s)

Montesi, Danilo

Data(s)

17/07/2014

Resumo

Nowadays, more and more data is collected in large amounts, such that the need of studying it both efficiently and profitably is arising; we want to acheive new and significant informations that weren't known before the analysis. At this time many graph mining algorithms have been developed, but an algebra that could systematically define how to generalize such operations is missing. In order to propel the development of a such automatic analysis of an algebra, We propose for the first time (to the best of my knowledge) some primitive operators that may be the prelude to the systematical definition of a hypergraph algebra in this regard.

Formato

application/pdf

Identificador

http://amslaurea.unibo.it/7106/1/main.pdf

Bergami, Giacomo (2014) Hypergraph Mining for Social Networks. [Laurea magistrale], Università di Bologna, Corso di Studio in Informatica [LM-DM270] <http://amslaurea.unibo.it/view/cds/CDS8028/>

Relação

http://amslaurea.unibo.it/7106/

Direitos

info:eu-repo/semantics/openAccess

Palavras-Chave #hypergraph datamining data mining algebra relationalalgebra relational tensor matrix #scuola :: 843899 :: Scienze #cds :: 8028 :: Informatica [LM-DM270] #sessione :: prima
Tipo

PeerReviewed