A compression technique is presented that allows a high degree of compression but requires only logarithmic access time. The technique is a constant suppression scheme, and is most applicable to stable databases whose distribution of constants is fairly clustered. Furthermore, the repeated use of the technique permits the suppression of a multiple number of different constants. Of particular interest is the application of the constant suppression technique to databases the composite key of which is made up of an incomplete cross product of several attribute domains. The scheme for compressing the full cross product composite key is well known. This paper, however, also handles the general, incomplete case by applying the constant suppressio...
We present an algorithm for compressing pattern databases (PDBs) and a method for fast random access...
A compression-encryption method is described where a unique symmetric key is automatically generated...
It is common to store huge amount of data in relation databases. Despite that storage is cheap, data...
through this study, we propose two algorithms. The first algorithm describes the concept of compress...
Loss-less data compression is attractive in database systems as it may facilitate query performance ...
One common pattern database compression technique is to merge adjacent database entries and store th...
D espite the fact that computer memory costs have decreased ramatically over the past few years, dat...
This paper surveys a variety of data compression methods spanning almost forty years of research, fr...
Over the last decades, improvements in CPU speed have outpaced improvements in main memory and disk ...
Scientific and statistical database systems heavily depend on data compression techniques to make po...
Column-oriented database system architectures invite a reevaluation of how and when data in database...
17th International Symposium on Computer and Information Sciences -- OCT 28-30, 2002 -- UNIV CENT FL...
This paper proposes an efficient algorithm to compress the cubes in the progress of the parallel dat...
International audienceWe give a new text-compression scheme based on forbidden words ("antidictionar...
Most data-intensive applications are confronted with the problems of I/O bottleneck, poor query proc...
We present an algorithm for compressing pattern databases (PDBs) and a method for fast random access...
A compression-encryption method is described where a unique symmetric key is automatically generated...
It is common to store huge amount of data in relation databases. Despite that storage is cheap, data...
through this study, we propose two algorithms. The first algorithm describes the concept of compress...
Loss-less data compression is attractive in database systems as it may facilitate query performance ...
One common pattern database compression technique is to merge adjacent database entries and store th...
D espite the fact that computer memory costs have decreased ramatically over the past few years, dat...
This paper surveys a variety of data compression methods spanning almost forty years of research, fr...
Over the last decades, improvements in CPU speed have outpaced improvements in main memory and disk ...
Scientific and statistical database systems heavily depend on data compression techniques to make po...
Column-oriented database system architectures invite a reevaluation of how and when data in database...
17th International Symposium on Computer and Information Sciences -- OCT 28-30, 2002 -- UNIV CENT FL...
This paper proposes an efficient algorithm to compress the cubes in the progress of the parallel dat...
International audienceWe give a new text-compression scheme based on forbidden words ("antidictionar...
Most data-intensive applications are confronted with the problems of I/O bottleneck, poor query proc...
We present an algorithm for compressing pattern databases (PDBs) and a method for fast random access...
A compression-encryption method is described where a unique symmetric key is automatically generated...
It is common to store huge amount of data in relation databases. Despite that storage is cheap, data...