@COMMENT This file was generated by bib2html.pl <https://sourceforge.net/projects/bib2html/> version 0.94
@COMMENT written by Patrick Riley <http://sourceforge.net/users/patstg/>
@TechReport{TR12-vaa, 
  author =      {Chad A. Steed and J. Edward {Swan~II} and Patrick J. Fitzpatrick 
                 and T.J. Jankun-Kelly}, 
  title =       {A Visual Analytics Approach for Correlation, Classification, and 
                 Regression Analysis}, 
  institution = {Oak Ridge National Laboratory, Oak Ridge, TN, USA}, 
  type =        {Technical Report}, 
  number =      {ORNL/TM-2012/68}, 
  date =        {February 21}, 
  month =       {February}, 
  year =        2012, 
  abstract =    { 
New approaches that combine the strengths of humans and machines are 
necessary to equip analysts with the proper tools for exploring 
today's increasing complex, multivariate data sets. In this paper, a 
visual data mining framework, called the Multidimensional Data 
eXplorer (MDX), is described that addresses the challenges of today's 
data by combining automated statistical analytics with a highly 
interactive parallel coordinates based canvas. In addition to several 
intuitive interaction capabilities, this framework offers a rich set of 
graphical statistical indicators, interactive regression analysis, 
visual correlation mining, automated axis arrangements and filtering, 
and data classification techniques. The current work provides a 
detailed description of the system as well as a discussion of key 
design aspects and critical feedback from domain experts. 
}, 
}