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Finding Frequent Subgraphs in a Single Graph based on Symmetry

by D. Kavitha, V. Kamakshi Prasad, J. V. R. Murthy
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 146 - Number 11
Year of Publication: 2016
Authors: D. Kavitha, V. Kamakshi Prasad, J. V. R. Murthy
10.5120/ijca2016910895

D. Kavitha, V. Kamakshi Prasad, J. V. R. Murthy . Finding Frequent Subgraphs in a Single Graph based on Symmetry. International Journal of Computer Applications. 146, 11 ( Jul 2016), 5-8. DOI=10.5120/ijca2016910895

@article{ 10.5120/ijca2016910895,
author = { D. Kavitha, V. Kamakshi Prasad, J. V. R. Murthy },
title = { Finding Frequent Subgraphs in a Single Graph based on Symmetry },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2016 },
volume = { 146 },
number = { 11 },
month = { Jul },
year = { 2016 },
issn = { 0975-8887 },
pages = { 5-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume146/number11/25440-2016910895/ },
doi = { 10.5120/ijca2016910895 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:50:08.511135+05:30
%A D. Kavitha
%A V. Kamakshi Prasad
%A J. V. R. Murthy
%T Finding Frequent Subgraphs in a Single Graph based on Symmetry
%J International Journal of Computer Applications
%@ 0975-8887
%V 146
%N 11
%P 5-8
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Mining frequent subgraphs is a basic activity that plays an important role in mining graph data. In this paper an algorithm is proposed to find frequent subgraphs in a single large graph that has applications such as protein interactions, social networks, web interactions. One of the key operations required by any frequent subgraph discovery algorithm is to perform graph isomorphism. The proposed algorithm offers mining frequent subgraphs by avoiding the subgraph isomorphism problem through exploiting the symmetry properties present in the given graph.

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Index Terms

Computer Science
Information Sciences

Keywords

Frequent subgraph single graph graph isomorphism symmetry

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