TimeSleuth: A Tool for Discovering Causal and Temporal Rules

Abstract

Discovering causal and temporal relations in a system is essential to understanding how it works, and to learning to control the behaviour of the system. TimeSleuth is a causality miner that uses association relations as the basis for the discovery of causal and temporal relations. It does so by introducing time into the observed data. TimeSleuth uses C4.5… (More)
DOI: 10.1109/TAI.2002.1180827

11 Figures and Tables

Topics

  • Presentations referencing similar topics