Algebraic visual analysis: the Catalano phone call data set case study

Authors:
Anna A. Shaverdian;Hao Zhou;George Michailidis;H. V. Jagadish
Affiliations:
University of Michigan;University of Michigan;University of Michigan;University of Michigan
Venue:
Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery: Integrating Automated Analysis with Interactive Exploration
Year:
2009

Citing 6
Cited 1

Generating Graphs for Visual Analytics through Interactive Sketching

IEEE Transactions on Visualization and Computer Graphics
Graph Signatures for Visual Analytics

IEEE Transactions on Visualization and Computer Graphics
TreePlus: Interactive Exploration of Networks with Enhanced Tree Layouts

IEEE Transactions on Visualization and Computer Graphics
Visual Analysis of Large Heterogeneous Social Networks by Semantic and Structural Abstraction

IEEE Transactions on Visualization and Computer Graphics
Interactive Exploration of Data Traffic with Hierarchical Network Maps

IEEE Transactions on Visualization and Computer Graphics
Visualizing Internet Routing Changes

IEEE Transactions on Visualization and Computer Graphics

Querying graphs with uncertain predicates

Proceedings of the Eighth Workshop on Mining and Learning with Graphs

Quantified Score

Hi-index	0.00

Visualization

Abstract

While many clever techniques have been proposed for visual analysis, most of these are "one of" and it is not easy to see how to combine multiple techniques. We propose an algebraic model capable of representing a large class of visual analysis operations on graph data. We demonstrate the value of this model by showing how it can simulate the analyses performed by several groups on the Catalano family cell phone call record data set as part of the VAST 2008 challenge.