Reconstruction of Time Series Data with Missing Values
Mitat Uysal · Journal of Applied Sciences · 2007
Time series data are used to represent many real world phenomenon. For various reasons, a time series database may have some missing data. Traditional interpolation or estimation methods usually become invalid when the observation interval of the missing data is not small (Hong and Chen, 2003).