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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.0 20120330//EN" "JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article"><front><journal-meta><journal-id journal-id-type="publisher-id">INFORMATICA</journal-id><journal-title-group><journal-title>Informatica</journal-title></journal-title-group><issn pub-type="epub">0868-4952</issn><issn pub-type="ppub">0868-4952</issn><publisher><publisher-name>VU</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">inf16405</article-id><article-id pub-id-type="doi">10.15388/Informatica.2005.115</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research article</subject></subj-group></article-categories><title-group><article-title>Maximum Resolution Topology for Multi-Attribute Dichotomies</article-title></title-group><contrib-group><contrib contrib-type="Author"><name><surname>Ho</surname><given-names>James K.</given-names></name><email xlink:href="mailto:jimho@uic.edu">jimho@uic.edu</email><xref ref-type="aff" rid="j_INFORMATICA_aff_000"/></contrib><contrib contrib-type="Author"><name><surname>Chu</surname><given-names>Sydney C.K.</given-names></name><email xlink:href="mailto:schu@hku.hk">schu@hku.hk</email><xref ref-type="aff" rid="j_INFORMATICA_aff_001"/></contrib><aff id="j_INFORMATICA_aff_000">Information &amp; Decision Sciences, College of Business Administration, University of Illinois at Chicago, Chicago, IL 60091 USA</aff><aff id="j_INFORMATICA_aff_001">Operations Research Group, Department of Mathematics, University of Hong Kong, Hong Kong SAR, China</aff></contrib-group><pub-date pub-type="epub"><day>01</day><month>01</month><year>2005</year></pub-date><volume>16</volume><issue>4</issue><fpage>557</fpage><lpage>570</lpage><history><date date-type="received"><day>01</day><month>02</month><year>2005</year></date></history><abstract><p>The Star Plot approach to high-dimensional data visualization is applied to multi-attribute dichotomies. It is observed that the areas of the plot for the two parts of a dichotomy may be used as an aggregate measure of their relative dominance. An optimization model is developed to determine a topology (or weighted configuration of the attributes) that maximizes the resolution of this measure with respect to a given set of reference dichotomies.</p></abstract><kwd-group><label>Keywords</label><kwd>multi-attribute dichotomy</kwd><kwd>data visualization</kwd><kwd>aggregate measure</kwd><kwd>value function</kwd><kwd>optimization</kwd><kwd>exploratory data analysis</kwd><kwd>data mining</kwd></kwd-group></article-meta></front></article>