Joint prediction of time series data in inventory management
- 航空航天－已发表论文 
Abstract(#br)The problem of time series prediction has been well explored in the community of data mining. However, little research attention has been paid to the case of predicting the movement of a collection of related time series data. In this work, we study the problem of simultaneously predicting multiple time series data using joint predictive models. We observe that in real-world applications, strong relationships between different time-sensitive variables are often held, either explicitly predefined or implicitly covered in nature of the application. Such relationships indicate that the prediction on the trajectory of one given time series could be improved by incorporating the properties of other related time series data into predictive models. The key challenge is to capture...