GrammarViz 2.0 demo advertisement

Short, just 2 slides long, GrammarViz 2.0 summary

Transcript

1. Pavel Senin Collaborative Software Development Laboratory Information and Computer Sciences, University of Hawaii, Honolulu, HI USA senin@hawaii.edu
2. Patterns frequency Variable length of patterns Superimposed rule subsequences
3. Jessica Lin, Xing Wang, Dept. of Computer Science, George Mason University, USA Tim Oates, Sunil Gandhi, Dept. of Computer Science, University of Maryland, Baltimore County, USA Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein, ERDC, U.S. Army Corps of Engineers, USA Manfred Lerner, SAP, Germany Pavel Senin, UH Hawaii at Manoa, USA Our tool implements a ‘‘rule density visualization’’, that shows, by shading the background color intensity, the amount of the grammar’ rules discovered along the input time series, allowing visual comprehension of the effective regularities in data. In addition, this approach enables the anomaly detection and speeds-up HOT-SAX heuristics. http://github.com/GrammarViz2