Forecasting time-series data is useful in many fields, such as stock price predicting system,
autonomous driving system, weather forecast, etc. Many existing forecasting models tend to …

Predicting missing attribute values in data is extremely important in improving the accuracy
in many applications. Existing algorithms ignore the difference between the records used for …