Two-phase PRISM learning algorithms
Tzung‐Pei Hong, Shian‐Shyong Tseng · 2002
The idea of two phase learning is proposed for effectively solving the learning problems in which training instances come in a two stage way. Several two phase learning algorithms based on the learning method PRISM (J. Cendrowska, 1987) are also proposed for inducing rules from training instances. These alternatives form a spectrum, showing achievement of the requirement of PRISM being heavily dependent on the spent computational cost in Phase 2.