Open AccessTime Series Analysis Process of Dynamic Data in Internet of Things System
Author(s) -
Yu Xiang Song
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1856/1/012010
Subject(s) - series (stratigraphy) , autocorrelation , time series , computer science , dynamic data , process (computing) , data mining , data analysis , mathematics , statistics , machine learning , database , paleontology , biology , operating system
Time series analysis is a dynamic data analysis and processing method. The biggest characteristic of time series analysis is that the successive observations are not independent. When the observation series are correlated, the autocorrelation between the observation data can be used to establish the dynamic model of the data series. Thus, the existing observation data can be used to predict the future data. Time series analysis is an effective tool to deal with dynamic observation data.