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2022 | OriginalPaper | Buchkapitel

Experiments on F-Restricted Bi-pattern Mining

verfasst von : Guillaume Santini, Henry Soldano, Stella Zevio

Erschienen in: Complex Networks & Their Applications X

Verlag: Springer International Publishing

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Abstract

Bi-pattern mining has been previously introduced to mine attributed networks in which nodes may have two roles, as bi-partite or directed networks. A bi-pattern is then made of a pair of attribute patterns, and has a pair of support sets to figure the occurrences of the bi-pattern. Restricted bi-pattern mining has then been introduced to enforce both components of a bi-pattern to share part of their attribute content, so leading to a reduced bi-pattern space. The definition of a new closure operator allows then to enumerate such closed restricted bi-patterns. The presentation was theoretical and no experiments were provided. Our contribution is practical, it displays experiments comparing efficiency and results of restricted bi-pattern mining to their unrestricted bi-pattern mining counterparts.

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Fußnoten
1
d[e] is the image of e by d, i.e. \(d[e]=\{d(v) | v \in e\}\).
 
2
An atom a in a (finite) ordered set A with a minimum \(\bot \) is an element greater than \(\bot \) and such that there is no other element between \(\bot \) and a.
 
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Metadaten
Titel
Experiments on F-Restricted Bi-pattern Mining
verfasst von
Guillaume Santini
Henry Soldano
Stella Zevio
Copyright-Jahr
2022
DOI
https://doi.org/10.1007/978-3-030-93409-5_45

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