Visual Analysis of Mixed Data Sets Using Interactive Quantification
2009 (English)In: ACM SIGKDD Explorations Newsletter, ISSN 1931-0145, Vol. 11, no 2, 29-38 p.Article in journal (Refereed) Published
It is often diffcult to analyse data sets including a combi-nation of categorical and numerical variables (mixed datasets) since there does not exist any similarity measure whichis as straight forward and general as the numerical distancebetween numerical items. Quantication of categorical vari-ables enables analysis using commonly used visual represen-tations and analysis techniques for numerical data. Thispaper presents a tool for exploratory analysis of categoricaland mixed data which uses a quantication process intro-duced in [Johansson2008]. The application enables analysis of mixeddata sets by providing an environment for exploratory anal-ysis using common visual representations in multiple coordi-nated views and algorithmic analysis that facilitates detec-tion of potentially interesting patterns within combinationsof categorical and numerical variables. The generality andusefulness of the quantication process and of the featuresof the application is demonstrated through a case scenariousing a data set from the IEEE VAST 2008 Challenge.
Place, publisher, year, edition, pages
New York: ACM , 2009. Vol. 11, no 2, 29-38 p.
Information Visualization, Visual Analysis, Categorical Data, Quantification
IdentifiersURN: urn:nbn:se:liu:diva-60142DOI: 10.1145/1809400.1809406OAI: oai:DiVA.org:liu-60142DiVA: diva2:355304