Bum Chul Kwon, Janu Verma, et al.
IEE CG&A
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.
Bum Chul Kwon, Janu Verma, et al.
IEE CG&A
Graham Cormode, Minos Garofalakis, et al.
Foundations and Trends in Databases
Peter J. Haas
Communications in Statistics. Part C: Stochastic Models
Peter J. Haas, Christian König
SIGMOD 2004