Data for: Non-parametric Sequence-based learning Approach for Outlier Detection in IoT

Published: 23 November 2017| Version 1 | DOI: 10.17632/rb4p5d6xwh.1
Nashreen Nesa


The file contains four time varying sensor readings that are the predictor variables Distance (Cm), Humidity (%), Temperature ( C ), Light (Lux). Distance signifies the distance from the closest obstacle. The error for each of the four cases are given as dist_Error, hum_Error, temp_Error and light_Error. Value of 1 indicates it is an error-type outlier. Event response variable is denoted as Event(0 if occupant detected; 1 if not detected). Events are ground truth occupancy data.