Projects: Visual Analytics, Visual Data Mining, Information Visualization, and Data Science

Information visualization techniques can be combined with classical and modern data analysis, such as statistical pattern recognition and machine learning, to yield a more powerful, user-controlled information retrieval. The visual feedback guiding the analytical mining process exploits the unmatched capability of the low-level and high-level human visual system to recognize patterns and derive abstract conclusions from them, possibly setting off another analysis round. We are currently exploiting this relatively new paradigm for volume segmentation and for the analysis/classification of large, high-dimensional data streams. We are also working towards a comprehensive visual data mining environment for neuroscientists, called BrainMiner, that will enable a more targeted and experiential derivation of brain functional models from large collections of knowledge and data. The study of more effective and intuitive user interfaces is an important aspect of this work, as well as developing and evaluating these systems in close relationship with domain scientists and end users. For this, we have numerous collaborations at Brookhaven National Laboratory and at Pacific Northwest National Laboratory.

A Visual Analytics Approach for Categorical Joint Distribution Reconstruction from Marginal Projections
C. Xie, W. Zhong, K. Mueller
IEEE Trans. on Visualization and Computer Graphics
23(1): 2016
 
Analyzing Hillary Clinton’s Emails
V.  Dehiya, K. Mueller
IEEE VIS Poster Abstracts
Baltimore, MD, 2016
 
Extending Scatterplots to Scalar Fields
S. Cheng, P. Cui, K. Mueller
IEEE VIS Poster Abstracts (won an Honorary Mention Award)
Baltimore, MD, 2016
 
Google Glass for Personalized Augmentations of Data Visualizations
D. Zhang, D. Coelho, K. Mueller
IEEE VIS Poster Abstracts
Baltimore, MD, 2016
 
A Data-Driven Approach for Mapping Multivariate Data to Color
S. Cheng, W. Xu. W. Zhong, K. Mueller
IEEE VIS Poster Abstracts
Baltimore, MD, 2016
 
The Data Context Map: Fusing Data and Attributes into a Unified Display
S. Cheng, K. Mueller
IEEE Trans. on Visualization and Computer Graphics
22(1): 121-130, 2016
The Visual Causality Analyst: An Interactive Interface for Causal Reasoning
J . Wang, K. Mueller
IEEE Trans. on Visualization and Computer Graphics
22(1): 230-239, 2016
Exploring the Distribution of Local Neighborhood Structures in Large Networks
S. Cheng, C. Dahl, J. Giesen, P. Lucas, K. Mueller
Workshop on Exploring Graphs At Scale (EGAS), (held joinlty with VIS 2015)
Chicago. IL, October 2015
Data Memes for Personal Visualization
D. Coelho, K. Mueller
Workshop on Personal Visualization: Exploring Data in Everyday Life (held jointly with VIS 2015)
Chicago. IL, October 2015
StreamVisND: Visualizing Relationships in Streaming Multivariate Data
S. Cheng, Y. Wang, D. Zhang, Z. Jiang, K. Mueller
IEEE VIS Poster Abstracts (won Honorary Mention)
Chicago. IL, October 2015
Learning Visualizations by Analogy: Promoting Visual Literacy through Visualization Morphing
P. Ruchikachorn, K. Mueller
IEEE Trans. on Visualization and Computer Graphics
29(9):1028-1044, 2015
Improving the Fidelity of Contextual Data Layouts Using a Generalized Barycentric Coordinates Framework
S. Cheng, K. Mueller
IEEE Pacific Visualization Symposium
pp. 295-302, Hangzhou, China, April, 2015
Visual Correlation Analysis of Numerical and Categorical Data on the Correlation Map
Z. Zhang, K. McDonnell, E. Zadok, K. Mueller
IEEE Transactions on Visualization and Computer Graphics
21(2): 289-303, 2015
Airborne Single Particle Mass Spectrometers (SPLAT II & miniSPLAT) and New Software for Data Visualization and Analysis in a Geo-Spatial Contex
A. Zelenyuk, D. Imre, J. Wilson, Z. Zhang, J. Wang, K. Mueller
Journal of The American Society for Mass Spectrometry
pp. 1-14, 2015
A Structure-Based Distance Metric for High-Dimensional Space Exploration with Multi-Dimensional Scaling
J. Lee, K. McDonnell, A. Zelenyuk, D. Imre, K. Mueller
IEEE Transactions on Visualization and Computer Graphics
20(3): 351-364, 2014
TorusVisND: Unraveling High-Dimensional Torus Networks for Network Traffic Visualizations
S. Cheng, P. De, S. Jiang, K. Mueller
1st Workshop on Visual Performance Analysis (jointly with Supercomputing 2014)
pp. 9-16. New Olrleans, November, 2014
Gamification as a Paradigm for the Evaluation of Visual Analytics Systems
N. Ahmed, K. Mueller
Beyond Time And Errors: Novel Evaluation Methods For Visualization (BELIV)
(with VIS 2014). Paris, France, November, 2014
Does 3D Really Make Sense for Visual Cluster Analysis? Yes!
B. Wang, K. Mueller
Intern'l Workshop on 3DVis: Does 3D Really Make Sense for Data Visualization?
(with VIS 2014). Paris, France, November, 2014
GPU-Accelerated Incremental Correlation Clustering of Large Data with Visual Feedback
E. Papenhausen, B. Wang, S. Ha, A. Zelenyuk, D. Imre, K. Mueller
The First IEEE Workshop on Big Data Visualization
Santa Clara, CA, October, 2013
A Visual Analytics System for Stock Data
S. Cheng, Z. Jiang, Z. Zhang, K. Mueller
IEEE Visualization Conference, poster session
Atlanta, GA, October, 2013
 
SketchPadN-D: WYDIWYG Sculpting and Editing in High-Dimensional Space
B. Wang, P. Ruchikachorn, K. Mueller
IEEE Transactions on Visualization and Computer Graphics
19(12): 2060-2069, 2013
The Five W’s for Information Visualization with Application to Healthcare Informatics
Z. Zhang, B. Wang, F. Ahmed, IV Ramakrishnan, A. Viccellio, R. Zhao, K. Mueller
IEEE Transactions on Visualization and Computer Graphics
19 (11):1895-1910, 2013
An Interactive Visual Analytics Framework for Multi-Field Data in a Geo-Spatial Context
Z. Zhang, X. Tong, K. McDonnell, A. Zelenyuk, D. Imre, K. Mueller
Tsinghua Science and Technology on Visualization and Computer Graphics
18(2), April, 2013
TripAdvisorND: A Tourism-Inspired High-Dimensional Space Exploration Framework with Overview and Detail
J. Nam and K. Mueller
IEEE Transactions on Visualization and Computer Graphics
19(2): 291-305, 2013
Human Computation in Visualization: Using Purpose Driven Games for Robust Evaluation of Visualization Algorithms
N. Ahmed, Z. Zheng, K. Mueller
IEEE Transactions on Visualization and Computer Graphics
18(12): 2104-2113, 2012.
Data-Driven Approach to Hue-Preserving Color-Blending
L. Kühne, J. Giesen, Z. Zhang, S. Ha, K. Mueller
IEEE Transactions on Visualization and Computer Graphics
18(12): 2122-2129, 2012
A Network-Based Interface for the Exploration of High-Dimensional Data Spaces
Z. Zhang, K. McDonnell, K. Mueller
IEEE PacificVis
Songdo, Korea, March 2012
pp. 17-24
AnamneVis: A Framework for the Visualization of Patient History and Medical Diagnostics Chains
Z. Zhang, F. Ahmed, A. Mittal, IV Ramakrishnan, R. Zhao, A. Viccellio, K. Mueller
IEEE Workshop on Visual Analytics in Health Care
Providence, RI, October, 2011
 
Magic Marker: A Color Analytics Interface for Image Annotation
S. Garg, K. Padalkar, K. Mueller
International Symposium on Visual Computing
Las Vegas, NV, September 2011
 
Iconizer: A Framework to Identify and Create Effective Representations for Visual Information Encoding
S. Garg, T. Berg, K. Mueller
International Symposium on Smart Graphics
Bremen, Germany, July, 2011
Can Computers Master the Art of Communication? A Focus on Visual Analytics
K. Mueller, S. Garg J. Nam, T. Berg, K. McDonnell
IEEE Computer Graphics & Applications
31(3): 14-21, 2011
 
A Visual Analytics Framework for Emergency Room Clinical Encounters
Z. Zhang, A. Mittal, S. Garg, A.Dimitriyadi, IV Ramakrishnan, R. Zhao, A. Viccellio, K. Mueller
IEEE Workshop on Visual Analytics in Health Care
Salt Lake City, October, 2010
 
REANA: An RFID-Enabled Environment-Aware Navigation System for the Visually Impaired
K. Mueller, S. Das
IEEE Conference on Emerging Technologies for a Smarter World,
Seoul, Korea, September, 2010
 
Street Light View: Enriching Navigable Panoramic Street View Maps with Informative Illumination Thumbnails
C. Rojo, W. Xu, K. Mueller
IEEE Visualization Conference (poster)
Salt Lake City, October, 2010
 
KAV-DB: Towards a Framework for the Capture and Retrieval of Visualization Knowledge over the Web
S. Garg, J. Nam, K. Padalkar, K. Mueller, M. Chan, H. Qu, S. Laue, W. Saleem, J. Giesen
Proc. Schloss Dagstuhl Scientific Visualization Workshop
33(5): 607-615, 2009
 
A Visual Analytics Approach to Model Learning
S. Garg, IV Ramakrishnan, K. Mueller
IEEE Conference on Visual Analytics Science and Technology (VAST)
(to appear)
 
A High-Dimensional Feature Clustering Approach to Support Knowledge-Assisted Visualization (KAV)
J. Nam, M. Maurer, K. Mueller
Computers & Graphics
33(5): 607-615, 2009
 
Iconizer: A Framework to Identify and Create Effective Representations for Visual Information Encodings
S. Garg, T. Berg, K. Muellerr
IEEE Visualization Conference (poster session)
Atlantic City, NJ, October, 2009
 
Model-Driven Visual Analytics
S. Garg, E. Nam, IV. Ramakrishnan, K. Mueller
IEEE Symposium on Visual Analytics Science and Technology 2008 (VAST '08)
Columbus, OH, October, 2008
pp. 19-26
 
Illustrative Parallel Coordinates
K. McDonnell and Klaus Mueller
Computer Graphics Forum (Special Issue Eurovis '08)
vol. 27, no. 3, pp. 1031-1038, 2008.
 
ClusterSculptor: A Visual Analytics tool for high-dimensional data
E. Nam, Y. Han, K. Mueller, A. Zelenyuk, and D. Imre
IEEE Symposium on Visual Analytics Science and Technology 2007 (VAST '07)
Sacramento, CA, October, 2007
pp. 75-82
 

Toward a Multi-Analyst, Collaborative Framework for Visual Analytics Framework
S. Brennan, K. Mueller, G. Zelinsky, IV Ramakrishnan, D. Warren, and A. Kaufman
IEEE Symposium on Visual Analytics Science and Technology 2006
Baltimore, MD, October, 2006
pp. 129-136

 
SpectraMiner, an Interactive Data Mining and Visualization Software for Single Particle Mass Spectroscopy: A Laboratory Test Case
A. Zelenyuk, D. Imre, Y. Cai, K. Mueller, Y. Han, and P. Imrich
International Journal of Mass Spectrometry
no. 258, pp. 58-73, 2006
 

Interactive Poster: 3D ThemeRiver
P. Imrich, K. Mueller, D. Imre, A. Zelenyuk, and W. Zhu
IEEE Information Visualization Symposium '03
Seattle, October 2003


Interactive Poster: A Hardware-Accelerated Rubbersheet Focus + Context Technique for Radial Dendrograms  
P. Imrich, K. Mueller, D. Imre, A. Zelenyuk, and W. Zhu
IEEE Information Visualization Symposium '03
Seattle, October 2003

Interactive Poster: Visual datamining with the interactive dendogram 
P. Imrich, K. Mueller, D. Imre, A. Zelenyuk, and W. Zhu
IEEE Information Visualization Symposium '02 
Boston, October 2002

Changes in brain-functional homogeneity in subjects with Alzheimer's disease
N. Volkow, W. Zhu, C. Felder, K. Mueller, T. Welsh, G.-J. Wang, and M. de Leon
Journal of Psychiatry Research: Neuroimaging
vol. 114, no. 1, pp. 39-50, 2002

Graphical strategies to convey functional relationships in the human brain: A case study
T. Welsh, K. Mueller, W. Zhu, N. Volkow, and J. Meade
IEEE Visualization '01
San Diego, October 2001
pp. 481-485

BrainMiner: A visualization tool for ROI-based discovery of functional relationships in the human brain
K. Mueller, T. Welsh, W. Zhu, J. Meade, and N. Volkow
New Paradigms in Information Visualization and Manipulation (NPIVM) 2000
Washington DC, November 2000

A medical workstation for the display and analysis of multi-frame digital cineradiographic data
K. Mueller, E.L. LaPresto, K.A. Powell, J.L. Hirsch, and J.F. Cornhill
Computers in Medicine and Biology
vol. 26, no. 5, pp. 385-400, 1996

 

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Last update: June 27, 2005
http://www.cs.sunysb.edu/~mueller