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...
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...
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...
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...