A Visual Analytics Approach for Correlation, Classification, and Regression Analysis

Book · Tue Jan 01 04:00:00 EST 2013

OSTI ID:1089763

Steed, Chad A ^[1]; SwanII, J. Edward ^[2]; Fitzpatrick, Patrick J. ^[2]; Jankun-Kelly, T. J. ^[2]

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1. ORNL
2. Mississippi State University (MSU)

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. This chapter provides a detailed description of the system as well as a discussion of key design aspects and critical feedback from domain experts.

• Research Organization: Oak Ridge National Laboratory (ORNL)
• Sponsoring Organization: SC USDOE - Office of Science (SC)
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1089763
• Country of Publication: United States
• Language: English