Formalism for a multiresolution time series database model

• A multiresolution database stores time series lossy compressed by data summaries.
• The multiresolution schema is customisable by aggregation and regularisation.
• The model considers the time dimension and sampling irregularities of time series.
• The formalism is based on set theory and is inspired by relational database theory.

We formalise a specialised database management system model for time series using a multiresolution approach. These special purpose database systems store time series lossy compressed in a space-bounded storage. Time series can be stored at multiple resolutions, using distinct attribute aggregations and keeping its temporal attribute managed in a consistent way.The model exhibits a generic approach that facilitates its customisation to suit better the actual application requirements in a given context. The elements, the meaning of which depends on a real application, are of generic nature.Furthermore, we consider some specific time series properties that are a challenge in the multiresolution approach. We also describe a reference implementation of the model and introduce a use case based on real data.