There are a prohibitively large number of floating-point time series data generated at an
unprecedentedly high rate. An efficient, compact and lossless compression for time series …

IEEE 754 doubles do not exactly represent most real values, introducing rounding errors in
computations and [de] serialization to text. These rounding errors inhibit the use of existing …

Lossless floating-point time series compression is crucial for a wide range of critical
scenarios. Nevertheless, it is a big challenge to compress time series losslessly due to the …

As time series data become popular, their volume increases rapidly. Time series databases
are designed for such data, and they process data in short slices, meaning that the …

In various applications in Internet of Things like industrial monitoring, large amounts of
floating-point time series data are generated at an unprecedented rate. Efficient …

The effective management of trajectory data heavily relies on the utilization of fundamental
spatio-temporal queries. The surge in trajectory data, with its dynamic spatio-temporal …