Transcript FODAVA Education and Outreach Activities

The Interplay Between
Mathematics/Computation and Analytics
Haesun Park
Division of Computational Science and Engineering
Georgia Institute of Technology
FODAVA Review Meeting
Dec. 3, 2009
FODAVA and Me
• PhD 87 Cornell, numerical comp. (numerical linear algebra),
parallel computing, signal processing, ..
• Early 00’s, data analysis, text analysis, bioinformatics –
dimension reduction (LDA, NMF), classification, clustering, ..
• 2003-2005 NSF Program Director CCF
– TF/Numeric, Symbolic, Geometric Computing
– Graphics and Vis until Larry Rosenblum
– MSPA/MCS (Visual Analytics from Larry R.)
• 2005, Georgia Tech, Division of Computational Science and Eng.
• 2007, Apr., DIMACS Workshop: Recent Advances in Math. and
Information Sciences for Analysis and Understanding of Massive and Diverse
Sources of Data , Wen Masters of ONR, and Fred Roberts of DIMACS,
• 2007 Fall, FODAVA, on campus team already formed based on
CSE Seminar series (J. Stasko, …)
Visual Analytics
I see, therefore,
I analyze better.
Analytical
Reasoning
Visual
Representation
and Interaction
Data
Representation
and Transformation
“Solving a problem simply
means representing it so that
the solution is obvious.” Herbert
Simon, 96
Production
Presentation and
Dissemination
• Visual Analytics is the Science of Analytical Reasoning facilitated by
Interactive Visual Interfaces (Thomas and Cook)
• Visual Analytics combines automated analysis techniques with interactive
visualizations for an effective understanding, reasoning and decision
making on the basis of very large and complex data sets (Keim et al.)
Visual Analytics is Truly
Interdisciplinary
• Community very broad
– Vis, HCI, Database, Cognitive Science,
– FODAVA : math, statistics, computational science, data
analysis, …
• Challenges
– Communications
– Different communities are used to different problem settings
• Opportunities
– Maximally utilizing what human and computer can offer
– Visual Representation and Interaction
• Writable vis (in contrast to readable vis) makes vis useful (P. Hanrahan)
• is the key facilitator between human and data
Modules in Data and Visual Analytics System
•Identify the individual
leaking classified
information
•Classification
•Determine if a set of
suspicious events are
related
•Regression
•Predict the next stock
market crash
•Identify best medical
treatment based on genomic,
population data
•…
•Clustering
•Dimension reduction
•Density estimation
•Retrieval of similar
items
•Automatic
summarization
•…
Visual Representation and Interaction
Mathematical , Statistical, and
Computational Methods
Human Knowledge
Analytical Reasoning Tasks
Data Representation &
Transformation Tasks
Challenges
• Data Representation and Transformation vs. Analytical
Reasoning Tasks
• Data representation and transformation concerned with answering
questions for which solution process is rather well defined
• Analytical reasoning concerned with determining what questions to ask
(e.g., formulating hypotheses)
• Analysts must continually iterate between these tasks
• Evaluation ?
• Scalability ?
• How does the Interplay come together ?
• Visualization is the way for the interplay to occur effectively
• Better identification of mapping between existing data representation and
transformation and the steps of analytical reasoning tasks needed
• Expansion and refinement of data analytical tasks needed for extended
mapping
• Careful design of visual representation and interaction
Interdisciplinary Activities
• Close collaboration of FODAVA teams with
people in VA from vis and/or analytical
reasoning community critical
(ex. J. Stasko,
NVAC (J. Thomas, S. Bohn),
W. Ribarsky,
DHS CoE: David Ebert )
• FODAVA Test bed
Where to publish?
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IEEE TPAMI - IEEE Trans. on Pattern Analysis and Machine Intelligence
JMLR – Journal of Machine Learning Research
Information Visualization
InfoVis - IEEE Information Visualization Conference
VAST - IEEE Visual Analytics Science and Technology
NIPS - Neural Information Processing Systems
ICML - International Conference on Machine Learning
SIGKDD - ACM Special Interest Group on Knowledge Disc. and Data Mining
SDM - SIAM Conference on Data Mining
ICDM - IEEE International Conference on Data Mining
CVPR - Conference on Computer Vision and Pattern Recognition
WWW - International World Wide Web Conference
WSDM - International Conference on Web Search and Data Mining
AISTATS - International Conference on Artificial Intelligence and Statistics
CompStat - International Conference on Computational Statistics
JSM - (American Statistical Association's) Joint Statistical Meetings