Bergami, Giacomo
(2014)
Hypergraph Mining for Social Networks.
[Laurea magistrale], Università di Bologna, Corso di Studio in
Informatica [LM-DM270]
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Abstract
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.
Abstract
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.
Tipologia del documento
Tesi di laurea
(Laurea magistrale)
Autore della tesi
Bergami, Giacomo
Relatore della tesi
Scuola
Corso di studio
Ordinamento Cds
DM270
Parole chiave
hypergraph datamining data mining algebra relationalalgebra relational tensor matrix
Data di discussione della Tesi
17 Luglio 2014
URI
Altri metadati
Tipologia del documento
Tesi di laurea
(NON SPECIFICATO)
Autore della tesi
Bergami, Giacomo
Relatore della tesi
Scuola
Corso di studio
Ordinamento Cds
DM270
Parole chiave
hypergraph datamining data mining algebra relationalalgebra relational tensor matrix
Data di discussione della Tesi
17 Luglio 2014
URI
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