Cargando…
Outlier Detection Using Improved Support Vector Data Description in Wireless Sensor Networks
Wireless sensor networks (WSNs) are susceptible to faults in sensor data. Outlier detection is crucial for ensuring the quality of data analysis in WSNs. This paper proposes a novel improved support vector data description method (ID-SVDD) to effectively detect outliers of sensor data. ID-SVDD utili...
Autores principales: | Shi, Pei, Li, Guanghui, Yuan, Yongming, Kuang, Liang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864849/ https://www.ncbi.nlm.nih.gov/pubmed/31671540 http://dx.doi.org/10.3390/s19214712 |
Ejemplares similares
-
Outlier Detection in Wireless Sensor Networks Using Model Selection-Based Support Vector Data Descriptions
por: Huan, Zhan, et al.
Publicado: (2018) -
Data Fusion Using Improved Support Degree Function in Aquaculture Wireless Sensor Networks
por: Shi, Pei, et al.
Publicado: (2018) -
An MEF-Based Localization Algorithm against Outliers in Wireless Sensor Networks
por: Wang, Dandan, et al.
Publicado: (2016) -
Outlier Detection in Urban Air Quality Sensor Networks
por: van Zoest, V. M., et al.
Publicado: (2018) -
Specific Direction-Based Outlier Detection Approach for GNSS Vector Networks
por: Nie, Yufeng, et al.
Publicado: (2019)