Speculative Execution of Similarity Queries : Real-Time Parameter Optimization through Visual Exploration
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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In: Proceedings of the Workshops of the EDBT/ICDT 2021 Joint Conference / Costa, Constantinos; Pitoura, Evaggelia (Hrsg.). - Aachen : CEUR, 2021. - (CEUR Workshop Proceedings ; 2841). - eISSN 1613-0073
In: SIMPLIFY 2021: 1st International Workshop on Data Analytics and Machine Learning Made Simple, 23. März 2021, Nicosia, Cyprus
- Ereignis
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Veröffentlichung
- (wo)
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Konstanz
- (wer)
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KOPS Universität Konstanz
- (wann)
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2021
- Urheber
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Spinner, Thilo
Schlegel, Udo
Schall, Martin
Sperrle, Fabian
Sevastjanova, Rita
Gobbo, Beatrice
Rauscher, Julius
El-Assady, Mennatallah
Keim, Daniel
- URN
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urn:nbn:de:bsz:352-2-1e86tp6yez046
- Rechteinformation
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Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:55 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Spinner, Thilo
- Schlegel, Udo
- Schall, Martin
- Sperrle, Fabian
- Sevastjanova, Rita
- Gobbo, Beatrice
- Rauscher, Julius
- El-Assady, Mennatallah
- Keim, Daniel
- KOPS Universität Konstanz
Entstanden
- 2021
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NStreamAware : Real-Time Visual Analytics for Data Streams to Enhance Situational Awareness
Similarity Clustering of Dimensions for an Enhanced Visualization of Multidimensional Data
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Datenvisualisierung und Data Mining
Efficient Geometry-based Similarity Search of 3D Spatial Databases
Supporting Data Mining of Large Databases by Visual Feedback Queries
Using Extended Feature Objects for Partial Similarity Retrieval
Intelligent Visual Analytics Queries
NStreamAware : Real-Time Visual Analytics for Data Streams to Enhance Situational Awareness
Similarity Clustering of Dimensions for an Enhanced Visualization of Multidimensional Data
Multiresolution Similarity Search in Image Databases
Dynamic visual analytics - facing the real-time challenge
Real-time visual analytics for event data streams
Speculative Execution for Guided Visual Analytics
Mastering the information age - solving problems with visual analytics