Temporal Dynamic Matrix Factorization for Missing Data Prediction in Large Scale Coevolving Time Series

Temporal Dynamic Matrix Factorization for Missing Data Prediction in Large Scale Coevolving Time Series

Data missing in collections of time series occurs frequently in practical applications and turns out to be a major menace to precise data analysis. However, most of the existing methods either might be infeasible or could be inefficient to predict the missing values in large-scale coevolving time se...

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Bibliographic Details
Main Authors: Weiwei Shi, Yongxin Zhu, Philip S. Yu, Tian Huang, Chang Wang, Yishu Mao, Yufeng Chen
Format: Article
Language:English
Published: IEEE 2016-01-01
Series:IEEE Access
Subjects:
Matrix factorization
missing data prediction
time series
Apache Spark
Online Access:https://ieeexplore.ieee.org/document/7562451/

Internet

https://ieeexplore.ieee.org/document/7562451/

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