Comparison of Estimating Missing Values in IoT Time Series Data Using Different Interpolation Algorithms

When collecting the Internet of Things data using various sensors or other devices, it may be possible to miss several kinds of values of interest. In this paper, we focus on estimating the missing values in IoT time series data using three interpolation algorithms, including (1) Radial Basis Functi...

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Veröffentlicht in:	International journal of parallel programming Jg. 48; H. 3; S. 534 - 548
Hauptverfasser:	Ding, Zengyu, Mei, Gang, Cuomo, Salvatore, Li, Yixuan, Xu, Nengxiong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.06.2020 Springer Nature B.V
Schlagworte:	Algorithms Basis functions Computer Science Estimation Gene loci Internet of Things Interpolation Processor Architectures Questionnaires Radial basis function Software Engineering/Programming and Operating Systems Special Issue on Emerging Technology for Software Defined Network Enabled Internet of Things Theory of Computation Time series Interpolation Internet of Things (IoT) Data imputation Missing values Time series
ISSN:	0885-7458, 1573-7640
Online-Zugang:	Volltext
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