Visual Analytics Techniques for
Interactive Exploration of
Correlation Data
a dissertation proposal by:
Joshua New
www.cs.utk.edu/~seelab
JN 5/29/2016
The Candidate
• Education
– B.S. CS/MS from JSU [97-01]
– M.S Sys&Sftw Design from JSU [01-04] for
An Advanced User Interface for Pattern Recognition
in Medical Imagery: Interactive Learning, Contextual
Zooming, and Gesture Recognition
– Admitted into PhD program at UTK, 2004
– GRA for Dr. Huang’s Seelab since 2005
www.cs.utk.edu/~seelab
JN 5/29/2016
The Candidate
• Work Experience
– Computer Specialist, DBMS Ft. McClellan
shutdown, property $104 million [97-01]
– FEMA, risk simulations for incinerator [02]
– Vital Images, usability of Vitrea [06]
– ORNL intern via SciDAC, SeeGraph for
systems biology, climate data [05,07,08]
www.cs.utk.edu/~seelab
JN 5/29/2016
Motivation
•
•
•
•
Complex domain-specific data
Algorithms for automation
Interactive exploration
Knowledge discovery
Interaction
Automation
www.cs.utk.edu/~seelab
JN 5/29/2016
Goals
• Use graph interaction as a basis for
real-time visual analytics
• Provide several algorithmic tools for the
decomposition of a multivariate dataset
• Integrate all tools to allow emergence of
sophisticated analysis
• Work synergistically with other software
www.cs.utk.edu/~seelab
JN 5/29/2016
Example Workflow
www.cs.utk.edu/~seelab
JN 5/29/2016
Planned Work
• Implement an interactive graph
visualization system containing
– common algorithmic tools
– innovative, qualitative interaction
– multiple visualization schemes
– interoperability with other software
– process/pipeline automation
www.cs.utk.edu/~seelab
JN 5/29/2016
Previous Work
• Graph visualization packages
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–
–
–
–
AT&T labs GraphVis
Gem3D
Cytoscape
VxInsight
VisANT, GeneSpring, BiologicalNetworks,
GenMapp…
• Contribution – more efficient algorithms, new
tools, innovative functionality
www.cs.utk.edu/~seelab
JN 5/29/2016
Algorithmic Tools
• Graph Layout – O(M|V|2)
www.cs.utk.edu/~seelab
JN 5/29/2016
Algorithmic Tools
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N&S[0-.5,.5-1] !N&S[0-.15,.85-1]
N&!S[0-1]
!N&!S[.85-1]
www.cs.utk.edu/~seelab
Algorithmic Tools
0.85
0.89
0.90
0.94
0.95
0.98
www.cs.utk.edu/~seelab
JN 5/29/2016
Algorithmic Tools
• Adjacency Matrix and BTD Visualization
www.cs.utk.edu/~seelab
JN 5/29/2016
Algorithmic Tools
• Database query (quantitative selection)
•Neural Network (qualitative selection)
www.cs.utk.edu/~seelab
JN 5/29/2016
Algorithmic Tools
• Automatic trend detection from an
importance metric for PCP rendering
www.cs.utk.edu/~seelab
JN 5/29/2016
www.cs.utk.edu/~seelab
JN 5/29/2016
Visualization Methods
www.cs.utk.edu/~seelab
JN 5/29/2016
Visualization Methods
• Parallel coordinate
plot of multivariate
climate data
– IPCC monthly
average simulation
for 100 years
www.cs.utk.edu/~seelab
JN 5/29/2016
Initial Results
• SeeGraph currently 12+ KSLOC
• Initial results have already been
published:
– Joshua New, Wesley Kendall, Jian Huang
and Elissa Chesler. Dynamic
Visualization of Co-expression in
Systems Genetics Data. IEEE
Transactions on Visualization and
Computer Graphics, 14(5):1081–1094,
Sept.–Oct. 2008.
• Results have also been showcased in
several posters and workshop
presentations
www.cs.utk.edu/~seelab
JN 5/29/2016
Results
• Climate data trend detection
www.cs.utk.edu/~seelab
JN 5/29/2016
Results
www.cs.utk.edu/~seelab
JN 5/29/2016
Results
www.cs.utk.edu/~seelab
JN 5/29/2016
Results
www.cs.utk.edu/~seelab
JN 5/29/2016
Everest Poster
Everest Poster
www.cs.utk.edu/~seelab
JN 5/29/2016
Milestones
• Fall 2008 - Conclude work on parallel coordinates axis ordering
automation and submit to IEEE Transactions on Visualization
and Computer Graphics. Perform literature review in application
sciences. Complete a joint paper with climate scientists from
Oak Ridge National Laboratory for a journal submission in the
field of climate modeling research.
• Spring 2009 - Finalize research results for dissertation. Prepare
final dissertation with intent to defend in April 2008.
• April 2009 - Defend dissertation. Submit final copy of
dissertation to Graduate School.
www.cs.utk.edu/~seelab
JN 5/29/2016