A Quantitative Comparison of the Subgraph Miners MoFa, gSpan, FFSM, and Gaston
Dateien
Datum
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
URI (zitierfähiger Link)
DOI (zitierfähiger Link)
Internationale Patentnummer
Link zur Lizenz
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Publikationsstatus
Erschienen in
Zusammenfassung
Several new miners for frequent subgraphs have been published recently. Whereas new approaches are presented in detail, the quantitative evaluations are often of limited value: only the performance on a small set of graph databases is discussed and the new algorithm is often only compared to a single competitor based on an executable. It remains unclear, how the algorithms work on bigger/other graph databases and which of their distinctive features is best suited for which database. We have re-implemented the subgraph miners MoFa, gSpan, FFSM, and Gaston within a common code base and with the same level of programming expertise and optimization effort. This paper presents the results of a comparative benchmarking that ran the algorithms on a comprehensive set of graph databases.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
Schlagwörter
Konferenz
Rezension
Zitieren
ISO 690
WÖRLEIN, Marc, Thorsten MEINL, Ingrid FISCHER, Michael PHILIPPSEN, 2005. A Quantitative Comparison of the Subgraph Miners MoFa, gSpan, FFSM, and Gaston. In: JORGE, Alípio Mário, ed., Luís TORGO, ed., Pavel BRAZDIL, ed., Rui CAMACHO, ed., João GAMA, ed.. Knowledge Discovery in Databases: PKDD 2005. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005, pp. 392-403. Lecture Notes in Computer Science. 3721. ISBN 978-3-540-29244-9. Available under: doi: 10.1007/11564126_39BibTex
@inproceedings{Worlein2005Quant-24046, year={2005}, doi={10.1007/11564126_39}, title={A Quantitative Comparison of the Subgraph Miners MoFa, gSpan, FFSM, and Gaston}, number={3721}, isbn={978-3-540-29244-9}, publisher={Springer Berlin Heidelberg}, address={Berlin, Heidelberg}, series={Lecture Notes in Computer Science}, booktitle={Knowledge Discovery in Databases: PKDD 2005}, pages={392--403}, editor={Jorge, Alípio Mário and Torgo, Luís and Brazdil, Pavel and Camacho, Rui and Gama, João}, author={Wörlein, Marc and Meinl, Thorsten and Fischer, Ingrid and Philippsen, Michael} }
RDF
<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/24046"> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/24046"/> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/24046/1/Woerlein_240461.pdf"/> <dc:contributor>Meinl, Thorsten</dc:contributor> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-07-25T10:09:43Z</dcterms:available> <dc:creator>Wörlein, Marc</dc:creator> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-07-25T10:09:43Z</dc:date> <dc:language>eng</dc:language> <dc:creator>Meinl, Thorsten</dc:creator> <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/> <dc:creator>Fischer, Ingrid</dc:creator> <dcterms:abstract xml:lang="eng">Several new miners for frequent subgraphs have been published recently. Whereas new approaches are presented in detail, the quantitative evaluations are often of limited value: only the performance on a small set of graph databases is discussed and the new algorithm is often only compared to a single competitor based on an executable. It remains unclear, how the algorithms work on bigger/other graph databases and which of their distinctive features is best suited for which database. We have re-implemented the subgraph miners MoFa, gSpan, FFSM, and Gaston within a common code base and with the same level of programming expertise and optimization effort. This paper presents the results of a comparative benchmarking that ran the algorithms on a comprehensive set of graph databases.</dcterms:abstract> <dc:contributor>Philippsen, Michael</dc:contributor> <dc:creator>Philippsen, Michael</dc:creator> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/24046/1/Woerlein_240461.pdf"/> <dc:contributor>Fischer, Ingrid</dc:contributor> <dcterms:issued>2005</dcterms:issued> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dcterms:bibliographicCitation>Knowledge discovery in databases: PKDD 2005 : 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, October 3 - 7, 2005; proceedings / Alípio Jorge ... (eds.). - Berlin [u.a.] : Springer, 2005. - S. 392-403. - (Lecture notes in computer science ; 3721 : Lecture notes in artificial intelligence). - ISBN 978-3-540-29244-9</dcterms:bibliographicCitation> <dcterms:title>A Quantitative Comparison of the Subgraph Miners MoFa, gSpan, FFSM, and Gaston</dcterms:title> <dc:rights>terms-of-use</dc:rights> <dc:contributor>Wörlein, Marc</dc:contributor> </rdf:Description> </rdf:RDF>