Analysis of interpolation algorithms for the missing values in IoT time series: a case of air quality in Taiwan

Volume: 76, Issue: 8, Pages: 6475 - 6500
Published: Sep 11, 2019
Abstract
Missing values are common in the Internet of Things (IoT) environment for various reasons, including regular maintenance or malfunction. In time-series prediction in the IoT, missing values may have a relationship with the target labels, and their missing patterns result in informative missingness. Thus, missing values can be a barrier to achieving high accuracy of prediction and analysis in data mining in the IoT. Although several methods have...
Paper Details
Title
Analysis of interpolation algorithms for the missing values in IoT time series: a case of air quality in Taiwan
Published Date
Sep 11, 2019
Volume
76
Issue
8
Pages
6475 - 6500
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