Conference paper
Detecting attribute dependencies from query feedback
Peter J. Haas, Fabian Hueske, et al.
VLDB 2007
A sampling-based algorithm for discovering association rules is presented. The finding associations from sampled transactions (FAST) algorithm is a refined sampling-based mining algorithm that is distinguished from other algorithms by its novel two-phase approach to sample collection. Results showed that the FAST is a promising algorithms in situations where good approximate answers suffice and the interactive, real time response is essential.
Peter J. Haas, Fabian Hueske, et al.
VLDB 2007
Yannis Sismanis, Ling Wang, et al.
ICDE 2009
Peter J. Haas, Gerald S. Shedler
Probab. Eng. Inf. Sci.
Brian Hentschel, Peter J. Haas, et al.
SIGMOD Record