In this paper we define a model for multiresolution time series database management systems. The main objective is to store compactly a time series and manage consistently its temporal dimension. It is achieved by extracting diferent resolutions and attributes summaries from the time series. Our work is concerned in putting together two areas of study: time series analysis and database management systems (DBMS). Time series analysis offers a great deal of methodologies and algorithms to process time series data and database field provides software expertise in managing data. Therefore it is of primary relevance that DBMS support time series
The need for aupporttng trme varying:njormation in databa8e8 has been recogntzed for qurte some trme...
Abstract. Traditional database management systems (DBMS) are the computation storage and reservoir o...
Temporal database management systems provide integrated support for the storage and retrieval of tim...
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...
We formalise a specialised database management system model for time series using a multiresolution ...
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...
This paper describes a new architecture for a system to handle temporal data, called Temporal Data M...
Despite the ubiquity of temporal data and considerable research on processing such data, database sy...
Time-varying data models store data related to time instances and offer different types of timestamp...
This work consists of theoretical and experimental parts. In first part we quickly go through time s...
A wide range of database applications manage time-varying data. In contrast, existing database techn...
Nowadays, it is possible to acquire a huge amount of data, mainly due to the fact that it is easy to...
The research of temporal databases has focused mainly on query languages that incorporate time into ...
The need for aupporttng trme varying:njormation in databa8e8 has been recogntzed for qurte some trme...
Abstract. Traditional database management systems (DBMS) are the computation storage and reservoir o...
Temporal database management systems provide integrated support for the storage and retrieval of tim...
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...
We formalise a specialised database management system model for time series using a multiresolution ...
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...
This paper describes a new architecture for a system to handle temporal data, called Temporal Data M...
Despite the ubiquity of temporal data and considerable research on processing such data, database sy...
Time-varying data models store data related to time instances and offer different types of timestamp...
This work consists of theoretical and experimental parts. In first part we quickly go through time s...
A wide range of database applications manage time-varying data. In contrast, existing database techn...
Nowadays, it is possible to acquire a huge amount of data, mainly due to the fact that it is easy to...
The research of temporal databases has focused mainly on query languages that incorporate time into ...
The need for aupporttng trme varying:njormation in databa8e8 has been recogntzed for qurte some trme...
Abstract. Traditional database management systems (DBMS) are the computation storage and reservoir o...
Temporal database management systems provide integrated support for the storage and retrieval of tim...