Frequent Subgraph Mining

Brent E. Harrison; Jason C. Smith; Stephen G. Ware; Hsiao Wei Chen; Wenbin Chen; Anjali Khatri

doi:10.1201/b15352-11

Frequent Subgraph Mining

Brent E. Harrison, Jason C. Smith, Stephen G. Ware, Hsiao Wei Chen, Wenbin Chen, Anjali Khatri

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Scopus citations

Abstract

Frequent Subgraph Mining (FSM) is the process of discovering subgraphs that occur often in a database of other graphs. In this context, often means that the graph in question occurs more than some arbitrary threshold number of times.

Original language	English
Title of host publication	Practical Graph Mining with R
Pages	167-204
Number of pages	38
ISBN (Electronic)	9781439860854
DOIs	https://doi.org/10.1201/b15352-11
State	Published - Jan 1 2013

Bibliographical note

Publisher Copyright:
© 2014 by Taylor and Francis Group, LLC.

ASJC Scopus subject areas

General Computer Science
General Economics, Econometrics and Finance
General Business, Management and Accounting

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abstract = "Frequent Subgraph Mining (FSM) is the process of discovering subgraphs that occur often in a database of other graphs. In this context, often means that the graph in question occurs more than some arbitrary threshold number of times.",

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AU - Smith, Jason C.

AU - Ware, Stephen G.

AU - Chen, Hsiao Wei

AU - Chen, Wenbin

AU - Khatri, Anjali

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BT - Practical Graph Mining with R

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Frequent Subgraph Mining

Abstract

Bibliographical note

ASJC Scopus subject areas

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