An Integrated Framework for Simultaneous Classification and Regression of Time-Series Data

@inproceedings{Abraham2010AnIF,
  title={An Integrated Framework for Simultaneous Classification and Regression of Time-Series Data},
  author={Zubin Abraham and Pang-Ning Tan},
  booktitle={SDM},
  year={2010}
}
Zero-inflated time series data are commonly encountered in many applications, including climate and ecological modeling, disease monitoring, manufacturing defect detection, and traffic monitoring. Such data often leads to poor model fitting using standard regression methods because they tend to underestimate the frequency of zeros and the magnitude of non-zero values. This paper presents an integrated framework that simultaneously performs classification and regression to accurately predict… CONTINUE READING