A PSO-AB classifier for solving sequence classification problems
A two-stage SPM-based sequence classification method is proposed. Compact sequential patterns can efficiently represent important features. A particle swarm optimization-AdaBoost sequence classifier is developed. The proposed method can dramatically improve sequence classification accuracy.
sequence classification closed mining algorithm particle swarm optimization (pso) algorithm adaptive boosting (adaboost)