Time Series Forecasting with Missing Values

Article English OPEN
Shin-Fu Wu; Chia-Yung Chang; Shie-Jue Lee; (2015)
  • Publisher: European Alliance for Innovation (EAI)
  • Journal: EAI Endorsed Transactions on Cognitive Communications (issn: 2313-4534)
  • Related identifiers: doi: 10.4108/icst.iniscom.2015.258269
  • Subject: time series prediction | missing values | local time index | least squares support vector machine (lssvm) | Telecommunication | TK5101-6720

Time series prediction has become more popular in various kinds of applications such as weather prediction, control engineering, financial analysis, industrial monitoring, etc. To deal with real-world problems, we are often faced with missing values in the data due to s... View more
Share - Bookmark