Fei Xu, Kevin Beyer, et al.
SIGMOD/PODS 2009
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.
Fei Xu, Kevin Beyer, et al.
SIGMOD/PODS 2009
Peter J. Haas, Gerald S. Shedler
Communications in Statistics. Stochastic Models
Eirinaios Michelakis, Rajasekar Krishnamurthy, et al.
SIGMOD/PODS 2009
Liping Peng, Vuk Ercegovac, et al.
ICDE 2015