Using Semantic Data Mining for Classification Improvement and Knowledge Extraction

dc.contributor.authorBenites, Fernando
dc.contributor.authorSapozhnikova, Elena
dc.date.accessioned2014-11-27T11:28:58Z
dc.date.available2014-11-27T11:28:58Z
dc.date.issued2014eng
dc.description.abstractThe objective of this position paper is to show that the inte- gration of semantic data mining into the DAMIART data mining system can help further improve classification performance and knowledge ex- traction. DAMIART performs multi-label classification in the presence of multiple class ontologies, hierarchy extraction from multi-labels and concept relation by association rule mining. Whereas DAMIART com- bines knowledge from multiple data sources and multiple class ontologies, the proposed extension should also explore available ontologies over at- tributes. This will allow the system to produce not only more accurate classification results but also improve their interpretability and overcome such problems as data sparseness.eng
dc.description.versionpublished
dc.identifier.nbnurn:nbn:de:0074-1226-4eng
dc.identifier.urihttp://kops.uni-konstanz.de/handle/123456789/29338
dc.language.isoengeng
dc.subjectSemantic Data Mining; Classification; Knowledge Extractioneng
dc.subject.ddc004eng
dc.titleUsing Semantic Data Mining for Classification Improvement and Knowledge Extractioneng
dc.typeINPROCEEDINGSeng
dspace.entity.typePublication
kops.citation.bibtex
@inproceedings{Benites2014Using-29338,
  year={2014},
  title={Using Semantic Data Mining for Classification Improvement and Knowledge Extraction},
  number={1226},
  publisher={CEUR-WS.org},
  series={CEUR Workshop Proceedings},
  booktitle={Proceedings of the 16th LWA Workshops: KDML, IR and FGWM, Aachen, Germany, September 8-10, 2014},
  pages={150--155},
  editor={Seidl, Thomas and Hassani, Marwan and Beecks, Christian},
  author={Benites, Fernando and Sapozhnikova, Elena}
}
kops.citation.iso690BENITES, Fernando, Elena SAPOZHNIKOVA, 2014. Using Semantic Data Mining for Classification Improvement and Knowledge Extraction. KDML. Aachen, Germany, 8. Sept. 2014 - 12. Sept. 2014. In: SEIDL, Thomas, ed., Marwan HASSANI, ed., Christian BEECKS, ed.. Proceedings of the 16th LWA Workshops: KDML, IR and FGWM, Aachen, Germany, September 8-10, 2014. CEUR-WS.org, 2014, pp. 150-155. CEUR Workshop Proceedings. 1226deu
kops.citation.iso690BENITES, Fernando, Elena SAPOZHNIKOVA, 2014. Using Semantic Data Mining for Classification Improvement and Knowledge Extraction. KDML. Aachen, Germany, Sep 8, 2014 - Sep 12, 2014. In: SEIDL, Thomas, ed., Marwan HASSANI, ed., Christian BEECKS, ed.. Proceedings of the 16th LWA Workshops: KDML, IR and FGWM, Aachen, Germany, September 8-10, 2014. CEUR-WS.org, 2014, pp. 150-155. CEUR Workshop Proceedings. 1226eng
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kops.conferencefieldKDML, 8. Sept. 2014 - 12. Sept. 2014, Aachen, Germanydeu
kops.date.conferenceEnd2014-09-12eng
kops.date.conferenceStart2014-09-08eng
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kops.location.conferenceAachen, Germanyeng
kops.relation.uniknProjectTitleDAMIART
kops.sourcefieldSEIDL, Thomas, ed., Marwan HASSANI, ed., Christian BEECKS, ed.. <i>Proceedings of the 16th LWA Workshops: KDML, IR and FGWM, Aachen, Germany, September 8-10, 2014</i>. CEUR-WS.org, 2014, pp. 150-155. CEUR Workshop Proceedings. 1226deu
kops.sourcefield.plainSEIDL, Thomas, ed., Marwan HASSANI, ed., Christian BEECKS, ed.. Proceedings of the 16th LWA Workshops: KDML, IR and FGWM, Aachen, Germany, September 8-10, 2014. CEUR-WS.org, 2014, pp. 150-155. CEUR Workshop Proceedings. 1226deu
kops.sourcefield.plainSEIDL, Thomas, ed., Marwan HASSANI, ed., Christian BEECKS, ed.. Proceedings of the 16th LWA Workshops: KDML, IR and FGWM, Aachen, Germany, September 8-10, 2014. CEUR-WS.org, 2014, pp. 150-155. CEUR Workshop Proceedings. 1226eng
kops.title.conferenceKDMLeng
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source.contributor.editorHassani, Marwan
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source.relation.ispartofseriesCEUR Workshop Proceedingseng
source.titleProceedings of the 16th LWA Workshops: KDML, IR and FGWM, Aachen, Germany, September 8-10, 2014eng
temp.internal.duplicates<p>Keine Dubletten gefunden. Letzte Überprüfung: 12.11.2014 12:40:04</p>deu

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