Exploring N-dimensional databases Export

@inproceedings{STACKING, abstract = {The ability of researchers in the scientific and engineering community to generate or acquire data far outstrips their ability to analyze it. This problem is even more pronounced when the data is of high dimensionality. Visualization has been identified as a critical technique for exploring data sets, but the visualization tools developed to date have mostly concentrated on the display of low (one to four) dimensional data. Ideally a tool for examining N-dimensional data should allow the presentation of the data in a way that can be intuitively interpreted and allow the display of arbitrary views and subsets of the data. The work presented in this paper describes the creation of such a tool using a technique which we term dimensional stacking.}, address = {Los Alamitos, CA, USA}, author = {Leblanc, Jeffrey and Ward, Matthew O. and Wittels, Norman}, booktitle = {VIS '90: Proceedings of the 1st conference on Visualization '90}, citeulike-article-id = {3457092}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=949568}, isbn = {0-8186-2083-8}, keywords = {information, visualization}, location = {San Francisco, California}, pages = {230--237}, posted-at = {2008-10-28 10:13:33}, priority = {2}, publisher = {IEEE Computer Society Press}, title = {Exploring N-dimensional databases}, url = {http://portal.acm.org/citation.cfm?id=949568}, year = {1990} }

TY - CONF ID - STACKING L3 - citeulike-article-id:3457092 N2 - The ability of researchers in the scientific and engineering community to generate or acquire data far outstrips their ability to analyze it. This problem is even more pronounced when the data is of high dimensionality. Visualization has been identified as a critical technique for exploring data sets, but the visualization tools developed to date have mostly concentrated on the display of low (one to four) dimensional data. Ideally a tool for examining N-dimensional data should allow the presentation of the data in a way that can be intuitively interpreted and allow the display of arbitrary views and subsets of the data. The work presented in this paper describes the creation of such a tool using a technique which we term dimensional stacking. CY - San Francisco, California SN - 0-8186-2083-8 AD - Los Alamitos, CA, USA EP - 237 TI - Exploring N-dimensional databases PB - IEEE Computer Society Press T2 - VIS '90: Proceedings of the 1st conference on Visualization '90 SP - 230 KW - information KW - visualization AU - Leblanc, Jeffrey AU - Ward, Matthew AU - Wittels, Norman PY - 1990/// UR - http://portal.acm.org/citation.cfm?id=949568 ER -