Speculative Execution of Similarity Queries : Real-Time Parameter Optimization through Visual Exploration

dc.contributor.authorSpinner, Thilo
dc.contributor.authorSchlegel, Udo
dc.contributor.authorSchall, Martin
dc.contributor.authorSperrle-Roth, Fabian
dc.contributor.authorSevastjanova, Rita
dc.contributor.authorGobbo, Beatrice
dc.contributor.authorRauscher, Julius
dc.contributor.authorEl-Assady, Mennatallah
dc.contributor.authorKeim, Daniel A.
dc.date.accessioned2021-03-31T11:23:28Z
dc.date.available2021-03-31T11:23:28Z
dc.date.issued2021eng
dc.description.abstractThe parameters of complex analytical models often have an unpredictable influence on the models’ results, rendering parameter tuning a non-intuitive task. By concurrently visualizing both the model and its results, visual analytics tackles this issue, supporting the user in understanding the connection between abstract model parameters and model results. We present a visual analytics system enabling result understanding and model refinement on a ranking-based similarity search algorithm. Our system (1) visualizes the results in a projection view, mapping their pair-wise similarity to screen distance, (2) indicates the influence of model parameters on the results, and (3) implements speculative execution to enable real-time iterative refinement on the time-intensive offline similarity search algorithm.eng
dc.description.versionpublishedde
dc.identifier.ppn1752968220
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/53310
dc.language.isoengeng
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.ddc004eng
dc.titleSpeculative Execution of Similarity Queries : Real-Time Parameter Optimization through Visual Explorationeng
dc.typeINPROCEEDINGSde
dspace.entity.typePublication
kops.citation.bibtex
@inproceedings{Spinner2021Specu-53310,
  year={2021},
  title={Speculative Execution of Similarity Queries : Real-Time Parameter Optimization through Visual Exploration},
  url={http://ceur-ws.org/Vol-2841/SIMPLIFY_4.pdf},
  number={2841},
  publisher={CEUR},
  address={Aachen},
  series={CEUR Workshop Proceedings},
  booktitle={Proceedings of the Workshops of the EDBT/ICDT 2021 Joint Conference},
  editor={Costa, Constantinos and Pitoura, Evaggelia},
  author={Spinner, Thilo and Schlegel, Udo and Schall, Martin and Sperrle, Fabian and Sevastjanova, Rita and Gobbo, Beatrice and Rauscher, Julius and El-Assady, Mennatallah and Keim, Daniel A.}
}
kops.citation.iso690SPINNER, Thilo, Udo SCHLEGEL, Martin SCHALL, Fabian SPERRLE, Rita SEVASTJANOVA, Beatrice GOBBO, Julius RAUSCHER, Mennatallah EL-ASSADY, Daniel A. KEIM, 2021. Speculative Execution of Similarity Queries : Real-Time Parameter Optimization through Visual Exploration. SIMPLIFY 2021: 1st International Workshop on Data Analytics and Machine Learning Made Simple. Nicosia, Cyprus, 23. März 2021. In: COSTA, Constantinos, ed., Evaggelia PITOURA, ed.. Proceedings of the Workshops of the EDBT/ICDT 2021 Joint Conference. Aachen: CEUR, 2021. CEUR Workshop Proceedings. 2841. eISSN 1613-0073deu
kops.citation.iso690SPINNER, Thilo, Udo SCHLEGEL, Martin SCHALL, Fabian SPERRLE, Rita SEVASTJANOVA, Beatrice GOBBO, Julius RAUSCHER, Mennatallah EL-ASSADY, Daniel A. KEIM, 2021. Speculative Execution of Similarity Queries : Real-Time Parameter Optimization through Visual Exploration. SIMPLIFY 2021: 1st International Workshop on Data Analytics and Machine Learning Made Simple. Nicosia, Cyprus, Mar 23, 2021. In: COSTA, Constantinos, ed., Evaggelia PITOURA, ed.. Proceedings of the Workshops of the EDBT/ICDT 2021 Joint Conference. Aachen: CEUR, 2021. CEUR Workshop Proceedings. 2841. eISSN 1613-0073eng
kops.citation.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/123456789/53310">
    <dc:creator>Sevastjanova, Rita</dc:creator>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-03-31T11:23:28Z</dcterms:available>
    <dc:creator>Keim, Daniel A.</dc:creator>
    <dc:creator>Gobbo, Beatrice</dc:creator>
    <dc:contributor>Gobbo, Beatrice</dc:contributor>
    <dcterms:issued>2021</dcterms:issued>
    <dc:creator>Sperrle, Fabian</dc:creator>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:contributor>Sevastjanova, Rita</dc:contributor>
    <dc:contributor>Sperrle, Fabian</dc:contributor>
    <dc:creator>Schlegel, Udo</dc:creator>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-03-31T11:23:28Z</dc:date>
    <dc:creator>Schall, Martin</dc:creator>
    <dc:contributor>Schall, Martin</dc:contributor>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/53310/1/Spinner_2-1e86tp6yez046.pdf"/>
    <dc:contributor>Spinner, Thilo</dc:contributor>
    <dc:contributor>Rauscher, Julius</dc:contributor>
    <dc:creator>Rauscher, Julius</dc:creator>
    <dc:language>eng</dc:language>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:rights>Attribution 4.0 International</dc:rights>
    <dc:creator>El-Assady, Mennatallah</dc:creator>
    <dc:contributor>El-Assady, Mennatallah</dc:contributor>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/53310"/>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/53310/1/Spinner_2-1e86tp6yez046.pdf"/>
    <dc:contributor>Schlegel, Udo</dc:contributor>
    <dc:creator>Spinner, Thilo</dc:creator>
    <dc:contributor>Keim, Daniel A.</dc:contributor>
    <dcterms:title>Speculative Execution of Similarity Queries : Real-Time Parameter Optimization through Visual Exploration</dcterms:title>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:abstract xml:lang="eng">The parameters of complex analytical models often have an unpredictable influence on the models’ results, rendering parameter tuning a non-intuitive task. By concurrently visualizing both the model and its results, visual analytics tackles this issue, supporting the user in understanding the connection between abstract model parameters and model results. We present a visual analytics system enabling result understanding and model refinement on a ranking-based similarity search algorithm. Our system (1) visualizes the results in a projection view, mapping their pair-wise similarity to screen distance, (2) indicates the influence of model parameters on the results, and (3) implements speculative execution to enable real-time iterative refinement on the time-intensive offline similarity search algorithm.</dcterms:abstract>
  </rdf:Description>
</rdf:RDF>
kops.conferencefieldSIMPLIFY 2021: 1st International Workshop on Data Analytics and Machine Learning Made Simple, 23. März 2021, Nicosia, Cyprusdeu
kops.date.conferenceStart2021-03-23eng
kops.description.funding{"first": "eu", "second": "825041"}
kops.description.openAccessopenaccessbookparteng
kops.flag.knbibliographytrue
kops.identifier.nbnurn:nbn:de:bsz:352-2-1e86tp6yez046
kops.location.conferenceNicosia, Cypruseng
kops.relation.euProjectID825041eng
kops.sourcefieldCOSTA, Constantinos, ed., Evaggelia PITOURA, ed.. <i>Proceedings of the Workshops of the EDBT/ICDT 2021 Joint Conference</i>. Aachen: CEUR, 2021. CEUR Workshop Proceedings. 2841. eISSN 1613-0073deu
kops.sourcefield.plainCOSTA, Constantinos, ed., Evaggelia PITOURA, ed.. Proceedings of the Workshops of the EDBT/ICDT 2021 Joint Conference. Aachen: CEUR, 2021. CEUR Workshop Proceedings. 2841. eISSN 1613-0073deu
kops.sourcefield.plainCOSTA, Constantinos, ed., Evaggelia PITOURA, ed.. Proceedings of the Workshops of the EDBT/ICDT 2021 Joint Conference. Aachen: CEUR, 2021. CEUR Workshop Proceedings. 2841. eISSN 1613-0073eng
kops.title.conferenceSIMPLIFY 2021: 1st International Workshop on Data Analytics and Machine Learning Made Simpleeng
kops.urlhttp://ceur-ws.org/Vol-2841/SIMPLIFY_4.pdfeng
kops.urlDate2021-03-31eng
relation.isAuthorOfPublicationb7a5ad07-06be-4278-a8fc-0656f6908915
relation.isAuthorOfPublication7eeba0fc-d5f7-4e18-a226-9a1cd4c3fe11
relation.isAuthorOfPublicationd196e5bd-8b07-482e-aa47-a35ffa884a3a
relation.isAuthorOfPublication1b968726-7a39-4abd-99c9-bd5eda6c5bac
relation.isAuthorOfPublication8c05343e-5de5-402a-88c8-2c0d18979245
relation.isAuthorOfPublicationb5024762-2f04-44ad-9c05-c6305f6e7f8b
relation.isAuthorOfPublicationda7dafb0-6003-4fd4-803c-11e1e72d621a
relation.isAuthorOfPublication.latestForDiscoveryb7a5ad07-06be-4278-a8fc-0656f6908915
source.bibliographicInfo.seriesNumber2841eng
source.contributor.editorCosta, Constantinos
source.contributor.editorPitoura, Evaggelia
source.identifier.eissn1613-0073eng
source.publisherCEUReng
source.publisher.locationAacheneng
source.relation.ispartofseriesCEUR Workshop Proceedingseng
source.titleProceedings of the Workshops of the EDBT/ICDT 2021 Joint Conferenceeng

Dateien

Originalbündel

Gerade angezeigt 1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
Spinner_2-1e86tp6yez046.pdf
Größe:
1.24 MB
Format:
Adobe Portable Document Format
Beschreibung:
Spinner_2-1e86tp6yez046.pdf
Spinner_2-1e86tp6yez046.pdfGröße: 1.24 MBDownloads: 273

Lizenzbündel

Gerade angezeigt 1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
license.txt
Größe:
3.96 KB
Format:
Item-specific license agreed upon to submission
Beschreibung:
license.txt
license.txtGröße: 3.96 KBDownloads: 0