Add to ORKGScientific and statistical database systems heavily depend on data compression techniques to make possible the management and storage of their large databases. The efficiency of data compression methods has a signficant impact on the overall performance of these systems. The purpose of this paper is to show the importance of data compression to scientific/statistical databases, to discuss the pros and cons of data compression, and to survey data compression techniques relevant to scientific/statistical databases. The emphasis is on the basic idea, motivation, and tradeoffs of each approach. Both software and hardware methods are covered. The paper is concluded by a discussion of several points of research that seem worthy of further investi...
In this thesis statistical methods for data compression are presented. It deals with projecting of c...
Data communication is vital, as the world is getting smaller with the help of Internet. The challeng...
The aim of this thesis is to describe statistical methods for data compression. Introduction covers ...
This paper surveys a variety of data compression methods spanning almost forty years of research, fr...
This paper surveys a variety of data compression methods spanning almost forty years of research, fr...
It is common to store huge amount of data in relation databases. Despite that storage is cheap, data...
Abstract: Data compression has important application in the field of file storage and distributed sy...
D espite the fact that computer memory costs have decreased ramatically over the past few years, dat...
Data compression techniques can improve information system performance by reducing the size of a dat...
Efficient query processing in statistical databases is constrained by the I/O bottleneck problem bec...
Efficient query processing in statistical databases is constrained by the I/O bottleneck problem bec...
Architectural and technological trends of systems used for scientific computing call for a significa...
This thesis deals with the statistical compression methods. This work describes basic theoretical in...
Data compression is one of the most important fields and tools in modern computing. From archiving d...
Data compression is one way to gain better performance from a database. Compression is typically ach...
In this thesis statistical methods for data compression are presented. It deals with projecting of c...
Data communication is vital, as the world is getting smaller with the help of Internet. The challeng...
The aim of this thesis is to describe statistical methods for data compression. Introduction covers ...
This paper surveys a variety of data compression methods spanning almost forty years of research, fr...
This paper surveys a variety of data compression methods spanning almost forty years of research, fr...
It is common to store huge amount of data in relation databases. Despite that storage is cheap, data...
Abstract: Data compression has important application in the field of file storage and distributed sy...
D espite the fact that computer memory costs have decreased ramatically over the past few years, dat...
Data compression techniques can improve information system performance by reducing the size of a dat...
Efficient query processing in statistical databases is constrained by the I/O bottleneck problem bec...
Efficient query processing in statistical databases is constrained by the I/O bottleneck problem bec...
Architectural and technological trends of systems used for scientific computing call for a significa...
This thesis deals with the statistical compression methods. This work describes basic theoretical in...
Data compression is one of the most important fields and tools in modern computing. From archiving d...
Data compression is one way to gain better performance from a database. Compression is typically ach...
In this thesis statistical methods for data compression are presented. It deals with projecting of c...
Data communication is vital, as the world is getting smaller with the help of Internet. The challeng...
The aim of this thesis is to describe statistical methods for data compression. Introduction covers ...