Conference paper
Temporally-biased sampling for online model management
Brian Hentschel, Peter J. Haas, et al.
EDBT 2018
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.
Brian Hentschel, Peter J. Haas, et al.
EDBT 2018
Peter J. Haas, Joseph M. Hellerstein
SIGMOD Record
Peter J. Haas, Ihab F. Ilyas, et al.
Statistical Analysis and Data Mining
Peter J. Haas, Paul P. Maglio, et al.
VLDB