Publikation:

Fuzzy Information Granules in Time Series Data

Lade...
Vorschaubild

Dateien

OHPHp02_FuzzyInfoGranules_fuzzieee.pdf
OHPHp02_FuzzyInfoGranules_fuzzieee.pdfGröße: 363.75 KBDownloads: 961

Datum

2002

Autor:innen

Ortolani, Marco
Hofer, Heiko
Patterson, David
Höppner, Frank

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

ArXiv-ID

Internationale Patentnummer

Angaben zur Forschungsförderung

Projekt

Open Access-Veröffentlichung
Open Access Green
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published

Erschienen in

2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291). IEEE, 2002, pp. 695-699. ISBN 0-7803-7280-8. Available under: doi: 10.1109/FUZZ.2002.1005077

Zusammenfassung

It is often desirable to summarize a set of time series through typical shapes in order to analyze them. The algorithm presented here compares pieces of different time series in order to find similar shapes. The use of a fuzzy clustering technique based on fuzzy c-means allows us to consider such subsets as belonging to typical shapes with a degree of membership. Additionally, this matching is invariant with respect to a scaling of the time series. The algorithm is demonstrated on a widely known set of data taken from the ECG rhythm analysis experiments performed at MIT laboratories.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

Konferenz

2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02, Honolulu, HI, USA
Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690ORTOLANI, Marco, Heiko HOFER, David PATTERSON, Frank HÖPPNER, Michael R. BERTHOLD, 2002. Fuzzy Information Granules in Time Series Data. 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Honolulu, HI, USA. In: 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291). IEEE, 2002, pp. 695-699. ISBN 0-7803-7280-8. Available under: doi: 10.1109/FUZZ.2002.1005077
BibTex
@inproceedings{Ortolani2002Fuzzy-5611,
  year={2002},
  doi={10.1109/FUZZ.2002.1005077},
  title={Fuzzy Information Granules in Time Series Data},
  isbn={0-7803-7280-8},
  publisher={IEEE},
  booktitle={2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291)},
  pages={695--699},
  author={Ortolani, Marco and Hofer, Heiko and Patterson, David and Höppner, Frank and Berthold, Michael R.}
}
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/123456789/5611">
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T15:57:11Z</dc:date>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/5611/1/OHPHp02_FuzzyInfoGranules_fuzzieee.pdf"/>
    <dc:contributor>Berthold, Michael R.</dc:contributor>
    <dc:contributor>Höppner, Frank</dc:contributor>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:contributor>Ortolani, Marco</dc:contributor>
    <dc:contributor>Patterson, David</dc:contributor>
    <dcterms:title>Fuzzy Information Granules in Time Series Data</dcterms:title>
    <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by-nc-nd/2.0/"/>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:creator>Hofer, Heiko</dc:creator>
    <dcterms:abstract xml:lang="eng">It is often desirable to summarize a set of time series through typical shapes in order to analyze them. The algorithm presented here compares pieces of different time series in order to find similar shapes. The use of a fuzzy clustering technique based on fuzzy c-means allows us to consider such subsets as belonging to typical shapes with a degree of membership. Additionally, this matching is invariant with respect to a scaling of the time series. The algorithm is demonstrated on a widely known set of data taken from the ECG rhythm analysis experiments performed at MIT laboratories.</dcterms:abstract>
    <dc:contributor>Hofer, Heiko</dc:contributor>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/5611"/>
    <dc:rights>Attribution-NonCommercial-NoDerivs 2.0 Generic</dc:rights>
    <dcterms:issued>2002</dcterms:issued>
    <dc:creator>Patterson, David</dc:creator>
    <dc:language>eng</dc:language>
    <dc:creator>Höppner, Frank</dc:creator>
    <dc:format>application/pdf</dc:format>
    <dc:creator>Ortolani, Marco</dc:creator>
    <dcterms:bibliographicCitation>First publ. in: Proceedings of the IEEE International Conference on Fuzzy Systems 1 (2002), pp. 695-699</dcterms:bibliographicCitation>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/5611/1/OHPHp02_FuzzyInfoGranules_fuzzieee.pdf"/>
    <dc:creator>Berthold, Michael R.</dc:creator>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T15:57:11Z</dcterms:available>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Nein
Begutachtet
Diese Publikation teilen