Visualization and Visual Analytic Techniques for Patterns

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JENTNER, Wolfgang, Daniel A. KEIM, 2019. Visualization and Visual Analytic Techniques for Patterns. In: FOURNIER-VIGER, Philippe, ed. and others. High-Utility Pattern Mining. Cham:Springer, pp. 303-337. ISBN 978-3-030-04920-1. Available under: doi: 10.1007/978-3-030-04921-8_12

@incollection{Jentner2019-01-19Visua-44783, title={Visualization and Visual Analytic Techniques for Patterns}, year={2019}, doi={10.1007/978-3-030-04921-8_12}, number={51}, isbn={978-3-030-04920-1}, address={Cham}, publisher={Springer}, series={Studies in big data}, booktitle={High-Utility Pattern Mining}, pages={303--337}, editor={Fournier-Viger, Philippe}, author={Jentner, Wolfgang and Keim, Daniel A.} }

<rdf:RDF xmlns:dcterms="" xmlns:dc="" xmlns:rdf="" xmlns:bibo="" xmlns:dspace="" xmlns:foaf="" xmlns:void="" xmlns:xsd="" > <rdf:Description rdf:about=""> <dcterms:issued>2019-01-19</dcterms:issued> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dcterms:available rdf:datatype="">2019-01-31T11:23:13Z</dcterms:available> <dspace:isPartOfCollection rdf:resource=""/> <dcterms:isPartOf rdf:resource=""/> <dc:contributor>Jentner, Wolfgang</dc:contributor> <dcterms:title>Visualization and Visual Analytic Techniques for Patterns</dcterms:title> <dc:date rdf:datatype="">2019-01-31T11:23:13Z</dc:date> <dc:language>eng</dc:language> <dc:creator>Keim, Daniel A.</dc:creator> <bibo:uri rdf:resource=""/> <dc:creator>Jentner, Wolfgang</dc:creator> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dc:contributor>Keim, Daniel A.</dc:contributor> <dcterms:abstract xml:lang="eng">This chapter surveys visualization techniques for frequent itemsets, association rules, and sequential patterns. The human is crucial in the process of identifying interesting patterns and thus, mining such patterns and visualizing them is important for the decision making. The complementary feedback loop that a user may use to refine parameters through inspecting the current mining results is broadly described as visual analytics. This survey identifies visual designs for patterns of each category and analyzes and compares their strengths and weaknesses systematically. The comparison and overview help decision-makers selecting the appropriate technique for their tasks and systems while knowing about their limitations.</dcterms:abstract> </rdf:Description> </rdf:RDF>

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