Research Article
On the Effects of Input Unreliability on Classification Algorithms
422 downloads
@INPROCEEDINGS{10.1007/978-3-642-30973-1_11, author={Ardjan Zwartjes and Majid Bahrepour and Paul Havinga and Johann Hurink and Gerard Smit}, title={On the Effects of Input Unreliability on Classification Algorithms}, proceedings={Mobile and Ubiquitous Systems: Computing, Networking, and Services. 8th International ICST Conference, MobiQuitous 2011, Copenhagen, Denmark, December 6-9, 2011, Revised Selected Papers}, proceedings_a={MOBIQUITOUS}, year={2012}, month={10}, keywords={}, doi={10.1007/978-3-642-30973-1_11} }
- Ardjan Zwartjes
Majid Bahrepour
Paul Havinga
Johann Hurink
Gerard Smit
Year: 2012
On the Effects of Input Unreliability on Classification Algorithms
MOBIQUITOUS
Springer
DOI: 10.1007/978-3-642-30973-1_11
Abstract
The abundance of data available on Wireless Sensor Networks makes online processing necessary. In industrial applications, for example, the correct operation of equipment can be the point of interest. The raw sampled data is of minor importance. Classification algorithms can be used to make state classifications based on the available data for devices such as industrial refrigerators.
Copyright © 2011–2024 ICST