Data for: Non-parametric Sequence-based learning Approach for Outlier Detection in IoT
Description of this data
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.
Experiment data files
This data is associated with the following publication:
Cite this dataset
Nesa, Nashreen (2017), “Data for: Non-parametric Sequence-based learning Approach for Outlier Detection in IoT”, Mendeley Data, v1 http://dx.doi.org/10.17632/rb4p5d6xwh.1