Logging every footstep: quantile summaries for the entire history

@inproceedings{Tao2010LoggingEF,
  title={Logging every footstep: quantile summaries for the entire history},
  author={Yufei Tao and Ke Yi and Cheng Sheng and Jian Pei and Feifei Li},
  booktitle={SIGMOD Conference},
  year={2010}
}
Quantiles are a crucial type of order statistics in databases. Extensive research has been focused on maintaining a space-efficient structure for approximate quantile computation as the underlying dataset is updated. The existing solutions, however, are designed to support only the current, most-updated, snapshot of the dataset. Queries on the past versions of the data cannot be answered. This paper studies the problem of historical quantile search. The objective is to enable ε-approximate… CONTINUE READING