SSH: (Sketch, Shingle, & Hash) for Indexing Massive-Scale Time Series
SSH is a time series indexing scheme. It allows you to approximately indexing the time series data. For the details SSH scheme, please refer the paper bellow:
Chen Luo and Anshumali Shrivastava "SSH (Sketch, Shingle, & Hash) for Indexing Massive-Scale Time Series" Published in Proceedings of Journal of Machine Learning Research 2017.
Step by step Guide.
Preliminaries: g++, linux.
Running the code
-- cd <the path of the code file>
-- ./ssh <data set file> <query time series file> <time series length> <number of time series> <filter length> <shift size> <shingle length> <local constraint of dtw>
Running example for the given dataset
-- cd ~/SSH
-- ./ssh data query 1024 2000 100 3 15 10
If you have any questions or problems regarding the code, please feel free to contact Chen Luo (firstname.lastname@example.org)