Using visualization to support data mining of large existing databases


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KEIM, Daniel, Hans-Peter KRIEGEL, 2005. Using visualization to support data mining of large existing databases. In: LEE, John P., ed., Georges G. GRINSTEIN, ed.. Database Issues for Data Visualization. Berlin, Heidelberg:Springer Berlin Heidelberg, pp. 210-229. ISBN 978-3-540-58519-0. Available under: doi: 10.1007/BFb0021156

@inproceedings{Keim2005-06-08Using-17323, title={Using visualization to support data mining of large existing databases}, year={2005}, doi={10.1007/BFb0021156}, number={871}, isbn={978-3-540-58519-0}, address={Berlin, Heidelberg}, publisher={Springer Berlin Heidelberg}, series={Lecture Notes in Computer Science}, booktitle={Database Issues for Data Visualization}, pages={210--229}, editor={Lee, John P. and Grinstein, Georges G.}, author={Keim, Daniel and Kriegel, Hans-Peter} }

<rdf:RDF xmlns:dcterms="" xmlns:dc="" xmlns:rdf="" xmlns:bibo="" xmlns:dspace="" xmlns:foaf="" xmlns:void="" xmlns:xsd="" > <rdf:Description rdf:about=""> <dcterms:hasPart rdf:resource=""/> <dspace:isPartOfCollection rdf:resource=""/> <dc:language>eng</dc:language> <dspace:hasBitstream rdf:resource=""/> <dc:contributor>Keim, Daniel</dc:contributor> <dc:rights>terms-of-use</dc:rights> <dcterms:bibliographicCitation>First publ. in: Database issues for data visualization : proceedings / IEEE Visualization '93 Workshop, San Jose, California, USA, October 26, 1993. - Berlin [u.a.] : Springer, 1994. - pp. 210-229. - ( Lecture Notes in Computer Science ; 871). - ISBN 3-540-58519-2</dcterms:bibliographicCitation> <dcterms:title>Using visualization to support data mining of large existing databases</dcterms:title> <dc:creator>Keim, Daniel</dc:creator> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:contributor>Kriegel, Hans-Peter</dc:contributor> <dcterms:issued>2005-06-08</dcterms:issued> <dcterms:abstract xml:lang="eng">In this paper. we present ideas how visualization technology can be used to improve the difficult process of querying very large databases. With our VisDB system, we try to provide visual support not only for the query specification process. but also for evaluating query results and. thereafter, refining the query accordingly. The main idea of our system is to represent as many data items as possible by the pixels of the display device. By arranging and coloring the pixels according to the relevance for the query, the user gets a visual impression of the resulting data set and of its relevance for the query. 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. By using multiple windows for different parts of the query, the user gets visual feedback for each part of the query and, therefore, may easier understand the overall result. To support complex queries, we introduce the notion of lsquoapproximate joinsrsquo which allow the user to find data items that only approximately fulfill join conditions. We also present ideas how our technique may be extended to support the interoperation of heterogeneous databases. Finally, we discuss the performance problems that are caused by interfacing to existing database systems and present ideas to solve these problems by using data structures supporting a multidimensional search of the database.</dcterms:abstract> <dc:date rdf:datatype="">2012-01-31T12:25:18Z</dc:date> <dcterms:isPartOf rdf:resource=""/> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dcterms:rights rdf:resource=""/> <dc:creator>Kriegel, Hans-Peter</dc:creator> <dcterms:available rdf:datatype="">2012-01-31T12:25:18Z</dcterms:available> <bibo:uri rdf:resource=""/> </rdf:Description> </rdf:RDF>

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