FAST: A new sampling-based algorithm for discovering association rules

Bin Chen, Peter J. Haas, Peter I Scheuermann

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

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.

Original languageEnglish (US)
Number of pages1
JournalProceedings - International Conference on Data Engineering
DOIs
StatePublished - Jan 1 2002

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems

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