notes

#
# all commands to create the 2 datasets:
#

# note that these 2 datasets contain timeseries with non overlapping time ranges from the original dataset

# 1st dataset range: '07/08/2015-08:57:00--07/08/2015-18:05:00'
# 2nd dataset range: '07/08/2015-15:25:00--07/08/2015-22:16:00'

# create sqlite with original dataset
./TimeSeriesCorrelation.py dataset2db resources/data.txt database.sqlite

#
# to check a specific threshold before applying it
#

# for 1st dataset
./TimeSeriesCorrelation.py dates database.sqlite plot-dates --threshold %10 --all --range '07/08/2015-08:57:00--07/08/2015-18:05:00'

# for 2nd dataset
./TimeSeriesCorrelation.py dates database.sqlite plot-dates --threshold %10 --all --range '07/08/2015-15:25:00--07/08/2015-22:16:00'

#
# create datasets in hdf5 format
#

# create 1st dataset in hdf5 format
./TimeSeriesCorrelation.py db2h5 database.sqlite database1.h5 --threshold %10 --range '07/08/2015-08:57:00--07/08/2015-18:05:00' -c 9

# create 2nd dataset in hdf5 format
./TimeSeriesCorrelation.py db2h5 database.sqlite database2.h5 --threshold %10 --range '07/08/2015-15:25:00--07/08/2015-22:16:00' -c 9

#
# normalize hdf5 databases, we call these datasets since we will be working with these files
#

# create 1st normalized dataset
./TimeSeriesCorrelation.py h5norm database1.h5 dataset1_normalized.h5 -c 9

# create 2nd normalized dataset
./TimeSeriesCorrelation.py h5norm database2.h5 dataset2_normalized.h5 -c 9