A VLSI chip for efficient transmission and retrieval of information
SIGIR '87 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval
A scheme for data compression in supercomputers
Proceedings of the 1988 ACM/IEEE conference on Supercomputing
ACM SIGMOD Record
ACM Transactions on Modeling and Computer Simulation (TOMACS)
The centroid method for compressing sets of similar images
Pattern Recognition Letters
Using differential techniques to efficiently support transaction time
The VLDB Journal — The International Journal on Very Large Data Bases
Block-Oriented Compression Techniques for Large Statistical Databases
IEEE Transactions on Knowledge and Data Engineering
Efficient Aggregation Algorithms for Compressed Data Warehouses
IEEE Transactions on Knowledge and Data Engineering
Aggregation Algorithms for Very Large Compressed Data Warehouses
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
A New Compression Method with Fast Searching on Large Databases
VLDB '87 Proceedings of the 13th International Conference on Very Large Data Bases
Data Compression Support in Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Parallel Intersecting Compressed Bit Vectors in a High Speed Query Server for Processing Postal
HPCA '96 Proceedings of the 2nd IEEE Symposium on High-Performance Computer Architecture
Implementing subscripted identifiers in scientific databases
SSDBM'1990 Proceedings of the 5th international conference on Statistical and Scientific Database Management
New Algorithm for Computing Cube on Very Large Compressed Data Sets
IEEE Transactions on Knowledge and Data Engineering
Presence: Teleoperators and Virtual Environments
Reordering columns for smaller indexes
Information Sciences: an International Journal
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Scientific 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 investigation.