tsclas

Classification of IoT data with ordinal patterns transformations.

Description

In this project a classification of IoT time series based on the class separability analysis of their ordinal patterns tfransformation is proposed.

Folders and Files

• data/

  • This directory contains the IoT related data used for the classification.

• classify.R

  • The main classification script. It contains the final steps for the proposed classification.

• classify.sh

  • A script for automatizing the classification call.

• config.R

  • Some configurations used for the classification.

• features.R

  • A script for computing the features used.

• find_tau.R

  • The methods to find the best tau for a given D, according to the most separable classes in the CCEP.

• includes.R

  • The required packages.

• README.md

  • This readme.

• utils.R

  • Some utility functions.

Datasets considered

• data/asos/

  • the ASOS files, could be the raw data and the pre-computed features

• data/asos/1min

  • the ASOS files, for 1-minute time interval

• data/asos/1hour

  • the ASOS files, for 1-hour time interval