A Knowledge Integration Framework for Information Visualization (2004)

dc.contributor.authorSeo, Jinwooken_US
dc.contributor.authorShneiderman, Benen_US
dc.contributor.departmentISRen_US
dc.date.accessioned2007-05-23T10:17:18Z
dc.date.available2007-05-23T10:17:18Z
dc.date.issued2005en_US
dc.description.abstractUsers can better understand complex data sets by combining insights from multiple coordinated visual displays that include relevant domain knowl-edge. When dealing with multidimensional data and clustering results, the most familiar displays and comprehensible are 1- and 2-dimensional projections (his-tograms, and scatterplots). Other easily understood displays of domain knowl-edge are tabular and hierarchical information for the same or related data sets. The novel parallel coordinates view [6] powered by a direct-manipulation search, offers strong advantages, but requires some training for most users. We provide a review of related work in the area of information visualization, and introduce new tools and interaction examples on how to incorporate usersdo-main knowledge for understanding clustering results. Our examples present hi-erarchical clustering of gene expression data, coordinated with a parallel coor-dinates view and with the gene annotation and gene ontology.en_US
dc.format.extent89161 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/6525
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 2005-63en_US
dc.titleA Knowledge Integration Framework for Information Visualization (2004)en_US
dc.typeTechnical Reporten_US

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