A Knowledge Integration Framework for Information Visualization (2004)
| dc.contributor.author | Seo, Jinwook | en_US |
| dc.contributor.author | Shneiderman, Ben | en_US |
| dc.contributor.department | ISR | en_US |
| dc.date.accessioned | 2007-05-23T10:17:18Z | |
| dc.date.available | 2007-05-23T10:17:18Z | |
| dc.date.issued | 2005 | en_US |
| dc.description.abstract | Users 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 usersī 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.extent | 89161 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/1903/6525 | |
| dc.language.iso | en_US | en_US |
| dc.relation.ispartofseries | ISR; TR 2005-63 | en_US |
| dc.title | A Knowledge Integration Framework for Information Visualization (2004) | en_US |
| dc.type | Technical Report | en_US |
Files
Original bundle
1 - 1 of 1