Pavel Senin Collaborative Software Development Laboratory

Information and Computer Sciences, University of Hawaii, Honolulu, HI USA

senin@hawaii.edu

Patterns frequency Variable length of patterns

Superimposed rule subsequences

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