Supporting Data Mining of Large Databases by Visual Feedback Queries

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KEIM, Daniel A., Hans-Peter KRIEGEL, Thomas SEIDL, 1994. Supporting Data Mining of Large Databases by Visual Feedback Queries. 1994 IEEE 10th International Conference on Data Engineering. Houston, TX, USA. In: Proceedings of 1994 IEEE 10th International Conference on Data Engineering. 1994 IEEE 10th International Conference on Data Engineering. Houston, TX, USA. IEEE, pp. 302-313. ISBN 0-8186-5402-3

@inproceedings{Keim1994Suppo-5858, title={Supporting Data Mining of Large Databases by Visual Feedback Queries}, year={1994}, doi={10.1109/ICDE.1994.283045}, isbn={0-8186-5402-3}, publisher={IEEE}, booktitle={Proceedings of 1994 IEEE 10th International Conference on Data Engineering}, pages={302--313}, author={Keim, Daniel A. and Kriegel, Hans-Peter and Seidl, Thomas} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/5858"> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T16:00:43Z</dcterms:available> <dcterms:rights rdf:resource="https://creativecommons.org/licenses/by-nc-nd/2.0/legalcode"/> <dc:creator>Kriegel, Hans-Peter</dc:creator> <dcterms:abstract xml:lang="eng">In this paper, we describe a query system that provides visual relevance feedback in querying large databases. Our goal is to support the process of data mining by representing as many data items as possible on the display. By arranging and coloring the data items as pixels according to their relevance for the query, the user gets a visual impression of the resulting data set. Using an interactive query interface, the user may change the query dynamically and receives immediate feedback by the visual representation of the resulting data set. Furthermore, by using multiple windows for different parts of a complex query, the user gets visual feedback for each part of the query and, therefore, may easier understand the overall result. Our system allows to represent the largest amount of data that can be visualized on current display technology, provides valuable feedback in querying the database, and allows the user to find results which, otherwise, would remain hidden in the database.</dcterms:abstract> <dc:contributor>Kriegel, Hans-Peter</dc:contributor> <dc:creator>Seidl, Thomas</dc:creator> <dc:rights>deposit-license</dc:rights> <dcterms:title>Supporting Data Mining of Large Databases by Visual Feedback Queries</dcterms:title> <dcterms:bibliographicCitation>First publ. in: Proceedings / Tenth International Conference on Data Engineering, February 14 - 18, 1994, Houston, Tex. pp. 302-313</dcterms:bibliographicCitation> <dc:contributor>Keim, Daniel A.</dc:contributor> <dc:contributor>Seidl, Thomas</dc:contributor> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T16:00:43Z</dc:date> <dc:language>eng</dc:language> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/5858"/> <dcterms:issued>1994</dcterms:issued> <dc:format>application/pdf</dc:format> <dc:creator>Keim, Daniel A.</dc:creator> </rdf:Description> </rdf:RDF>

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