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 imple...
This paper describes a new architecture for a system to handle temporal data, called Temporal Data M...
This work consists of theoretical and experimental parts. In first part we quickly go through time s...
We consider multi-resolution time series models and their application to high-frequency financial da...
We formalise a specialised database management system model for time series using a multiresolution ...
In this paper we define a model for multiresolution time series database management systems. The mai...
In this paper we propose a model for multiresolution time series database management systems. Thismo...
Time-varying data models store data related to time instances and offer different types of timestamp...
In this paper we propose a graph-based generic model able to uniformly represent semistructured data...
Nowadays, it is possible to acquire a huge amount of data, mainly due to the fact that it is easy to...
A minimal extension of relational data model for logical modeling of the category of time in databas...
The MultiDim model is a conceptual multidimensional model for data warehouse and OLAP applications. ...
This dissertation identifies the need to develop practical implementations of temporal databases. Mo...
none1noA temporal database provides for management of time-varying data through the explicit support...
The theoretical interest and the practical relevance of a systematic treatment of multiple temporal ...
In this paper, we resolve the confusion among different time concepts proposed for temporal database...
This paper describes a new architecture for a system to handle temporal data, called Temporal Data M...
This work consists of theoretical and experimental parts. In first part we quickly go through time s...
We consider multi-resolution time series models and their application to high-frequency financial da...
We formalise a specialised database management system model for time series using a multiresolution ...
In this paper we define a model for multiresolution time series database management systems. The mai...
In this paper we propose a model for multiresolution time series database management systems. Thismo...
Time-varying data models store data related to time instances and offer different types of timestamp...
In this paper we propose a graph-based generic model able to uniformly represent semistructured data...
Nowadays, it is possible to acquire a huge amount of data, mainly due to the fact that it is easy to...
A minimal extension of relational data model for logical modeling of the category of time in databas...
The MultiDim model is a conceptual multidimensional model for data warehouse and OLAP applications. ...
This dissertation identifies the need to develop practical implementations of temporal databases. Mo...
none1noA temporal database provides for management of time-varying data through the explicit support...
The theoretical interest and the practical relevance of a systematic treatment of multiple temporal ...
In this paper, we resolve the confusion among different time concepts proposed for temporal database...
This paper describes a new architecture for a system to handle temporal data, called Temporal Data M...
This work consists of theoretical and experimental parts. In first part we quickly go through time s...
We consider multi-resolution time series models and their application to high-frequency financial da...