Publikation: ClustNails : visual analysis of subspace clusters
Lade...
Dateien
Datum
2012
Autor:innen
Bremm, Sebastian
von Landesberger, Tatiana
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
Open Access Green
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published
Erschienen in
Tsinghua Science and Technology. 2012, 17(4), pp. 419-428. ISSN 1007-0214. eISSN 1878-7606. Available under: doi: 10.1109/TST.2012.6297588
Zusammenfassung
Subspace clustering addresses an important problem in clustering multi-dimensional data. In sparse multi-dimensional data, many dimensions are irrelevant and obscure the cluster boundaries. Subspace clustering helps by mining the clusters present in only locally relevant subsets of dimensions. However, understanding the result of subspace clustering by analysts is not trivial. In addition to the grouping information, relevant sets of dimensions and overlaps between groups, both in terms of dimensions and records, need to be analyzed. We introduce a visual subspace cluster analysis system called ClustNails. It integrates several novel visualization techniques with various user interaction facilities to support navigating and interpreting the result of subspace clustering. We demonstrate the effectiveness of the proposed system by applying it to the analysis of real world data and comparing it with existing visual subspace cluster analysis systems.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
Schlagwörter
Konferenz
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690
TATU, Andrada, Leishi ZHANG, Enrico BERTINI, Tobias SCHRECK, Daniel A. KEIM, Sebastian BREMM, Tatiana VON LANDESBERGER, 2012. ClustNails : visual analysis of subspace clusters. In: Tsinghua Science and Technology. 2012, 17(4), pp. 419-428. ISSN 1007-0214. eISSN 1878-7606. Available under: doi: 10.1109/TST.2012.6297588BibTex
@article{Tatu2012Clust-22559,
year={2012},
doi={10.1109/TST.2012.6297588},
title={ClustNails : visual analysis of subspace clusters},
number={4},
volume={17},
issn={1007-0214},
journal={Tsinghua Science and Technology},
pages={419--428},
author={Tatu, Andrada and Zhang, Leishi and Bertini, Enrico and Schreck, Tobias and Keim, Daniel A. and Bremm, Sebastian and von Landesberger, Tatiana}
}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/123456789/22559">
<foaf:homepage rdf:resource="http://localhost:8080/"/>
<dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-03-27T16:12:20Z</dc:date>
<dc:contributor>Keim, Daniel A.</dc:contributor>
<dc:contributor>Zhang, Leishi</dc:contributor>
<dc:creator>Zhang, Leishi</dc:creator>
<dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
<dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
<dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/22559/2/Tatu_225595.pdf"/>
<dc:creator>Schreck, Tobias</dc:creator>
<dcterms:title>ClustNails : visual analysis of subspace clusters</dcterms:title>
<dc:contributor>Bremm, Sebastian</dc:contributor>
<dc:creator>Bremm, Sebastian</dc:creator>
<dcterms:issued>2012</dcterms:issued>
<dc:contributor>Schreck, Tobias</dc:contributor>
<dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/22559/2/Tatu_225595.pdf"/>
<dc:language>eng</dc:language>
<dc:contributor>Bertini, Enrico</dc:contributor>
<dc:creator>von Landesberger, Tatiana</dc:creator>
<dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
<dc:creator>Keim, Daniel A.</dc:creator>
<void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
<dc:creator>Bertini, Enrico</dc:creator>
<dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-03-27T16:12:20Z</dcterms:available>
<dc:rights>terms-of-use</dc:rights>
<bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/22559"/>
<dcterms:bibliographicCitation>Tsinghua Science and Technology ; 17 (2012), 4. - S. 419-428</dcterms:bibliographicCitation>
<dc:creator>Tatu, Andrada</dc:creator>
<dcterms:abstract xml:lang="eng">Subspace clustering addresses an important problem in clustering multi-dimensional data. In sparse multi-dimensional data, many dimensions are irrelevant and obscure the cluster boundaries. Subspace clustering helps by mining the clusters present in only locally relevant subsets of dimensions. However, understanding the result of subspace clustering by analysts is not trivial. In addition to the grouping information, relevant sets of dimensions and overlaps between groups, both in terms of dimensions and records, need to be analyzed. We introduce a visual subspace cluster analysis system called ClustNails. It integrates several novel visualization techniques with various user interaction facilities to support navigating and interpreting the result of subspace clustering. We demonstrate the effectiveness of the proposed system by applying it to the analysis of real world data and comparing it with existing visual subspace cluster analysis systems.</dcterms:abstract>
<dc:contributor>von Landesberger, Tatiana</dc:contributor>
<dc:contributor>Tatu, Andrada</dc:contributor>
</rdf:Description>
</rdf:RDF>Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
