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ICDE
2004
IEEE
90views Database» more  ICDE 2004»
14 years 8 months ago
ItCompress: An Iterative Semantic Compression Algorithm
Real datasets are often large enough to necessitate data compression. Traditional `syntactic' data compression methods treat the table as a large byte string and operate at t...
H. V. Jagadish, Raymond T. Ng, Beng Chin Ooi, Anth...
SIGMOD
2009
ACM
171views Database» more  SIGMOD 2009»
14 years 7 months ago
GAMPS: compressing multi sensor data by grouping and amplitude scaling
We consider the problem of collectively approximating a set of sensor signals using the least amount of space so that any individual signal can be efficiently reconstructed within...
Sorabh Gandhi, Suman Nath, Subhash Suri, Jie Liu
VLDB
2001
ACM
139views Database» more  VLDB 2001»
13 years 12 months ago
NetCube: A Scalable Tool for Fast Data Mining and Compression
We propose an novel method of computing and storing DataCubes. Our idea is to use Bayesian Networks, which can generate approximate counts for any query combination of attribute v...
Dimitris Margaritis, Christos Faloutsos, Sebastian...
CIKM
2009
Springer
14 years 2 months ago
Inverted indexes vs. bitmap indexes in decision support systems
Bitmap indexes are widely used in Decision Support Systems (DSSs) to improve query performance. In this paper, we evaluate the use of compressed inverted indexes with adapted quer...
Truls A. Bjørklund, Nils Grimsmo, Johannes ...
SIGMOD
1993
ACM
101views Database» more  SIGMOD 1993»
13 years 11 months ago
Practical Prefetching via Data Compression
Kenneth M. Curewitz, P. Krishnan, Jeffrey Scott Vi...