Comparing Methods of Imputation for Time Series Missing Values

Renkang Geng; Mingran Li; Mingxu Sun; Yujie Wang

doi:10.1007/978-3-030-94182-6_24

ScienceGate Book Chapters

BOOK-CHAPTER

Comparing Methods of Imputation for Time Series Missing Values

Renkang Geng Mingran Li Mingxu Sun Yujie Wang

Year: 2022 Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Pages: 333-340

DOI: 10.1007/978-3-030-94182-6_24

Get Full-Text PDF Get Analytical Report

Keywords:

Missing data Data mining Imputation (statistics) Computer science Set (abstract data type) Data set Algorithm Artificial intelligence Machine learning

Metrics

Cited By

1.37

FWCI (Field Weighted Citation Impact)

Refs

0.79

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Traffic Prediction and Management Techniques

Physical Sciences → Engineering → Building and Construction

Forecasting Techniques and Applications

Social Sciences → Decision Sciences → Management Science and Operations Research

Comparing Methods of Imputation for Time Series Missing Values

Metrics

Citation History

Topics

Related Documents

The Comparison of Imputation Methods in Time Series Data with Missing Values

Missing values imputation in ocean buoy time series data

Recurrent Imputation for Multivariate Time Series with Missing Values

Missing data in time series and imputation methods

The Comparison of Imputation Methods in Space Time Series Data with Missing Values