real-time visual analytics for event data streams · real-time visual analytics for event data...
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Fabian Fischer | Data Analysis and Visualization Group | University of Konstanz
Real-Time Visual Analytics for Event Data Streams Fabian Fischer, Florian Mansmann, Daniel A. Keim
27th March 2012, ACM SAC 2012 Riva del Garda (Trento), Italy
2 Fabian Fischer | Data Analysis and Visualization Group | University of Konstanz
Visual Analytics
Interactive Visualization is a way to tightly combine human factors and data analysis.
Human Analyst
Understanding
Expert Knowledge
Experience
…
Cognition
Intuition
Data Mining
Clustering
Statistics
Massive Processing Power
Machine Learning
…
Classification Burst Detection
Use Case for Event Streams
Analyzing System Log Events (event stream of server log messages)
The National Archives (UK), 2011
4 Fabian Fischer | Data Analysis and Visualization Group | University of Konstanz
Framework Architecture Real-Time Visual Analytics for Event Data Streams
Event Service Data Streams
Message Broker
raw messages
Data Storage analyzed events
Event Analyzer(s) Event Analyzer(s) Event Analyzer(s) Event Analyzer(s)
Event Analyzer(s) Event Analyzer(s) Event Analyzer(s) Event Visualizer analyzed
events
connect to data storage
raw messages
Fingerprint
Normalization
Rules
Scoring
Aggregation
6 Fabian Fischer | Data Analysis and Visualization Group | University of Konstanz
Relaxed Event Timeline Visualization Focus on Temporal Aspect of Data Streams (Monitoring & Exploration)
s1
s2
s3
A
B E
C D F G H I
J
K
color mapped to priority selected scale: one hour (h)
hnow - 1 hnow
Demo/Video
12 Fabian Fischer | Data Analysis and Visualization Group | University of Konstanz
Main Contributions
• Generic processing and analysis architecture for event data streams to support real-time visual analytics applications.
• A system for pluggable visualizations for real-time and historical event data.
• Dynamic timeline visualization to directly interact with multiple streams to visualize highly co-occurring events.
13 Fabian Fischer | Data Analysis and Visualization Group | University of Konstanz
Future Work
• Controlled system evaluation.
• Integration of advanced algorithms for burst and anomaly detection.
• Integration of more visualizations based on the learned design principles.
• Use the Event Visualizer for other datasets.
– Feb 2012 – Successful participation in the Honeynet Forensic Challenge 2011/10 [1].
[1] http://ff.cx/fc10/
14 Fabian Fischer | Data Analysis and Visualization Group | University of Konstanz
Thank you very much for your
attention!
Questions?
For more information about this work or about visual analytics please contact
Fabian Fischer
Tel. +49 7531 88-2780 [email protected]
http://ff.cx/
@f2cx
15 Fabian Fischer | Data Analysis and Visualization Group | University of Konstanz
References I
J. Thomas and K. Cook (2005). Illuminating the Path: The Research and Development Agenda for Visual Analytics. IEEE Computer Society, 2005.
W. Aigner, S. Miksch, H. Schumann, and C. Tominski (2011).
Visualization of Time-Oriented Data. Human-Computer Interaction. Springer Verlag, 1st edition, 2011.
16 Fabian Fischer | Data Analysis and Visualization Group | University of Konstanz
References II
G. Chin, M. Singhal, G. Nakamura, V. Gurumoorthi, and N. Freeman-Cadoret (2009).
Visual Analysis of Dynamic Data Streams. Information Visualization, 8(3):212-229, 2009.
M. Schaefer, F. Wanner, F. Mansmann, C. Scheible, V. Stennett, A. T. Hasselrot, and D. A. Keim (2011).
Visual Pattern Discovery in Timed Event Data.
In Proceedings of Conference on Visualization and Data Analysis, 2011.