A algorithm for discovering positive&negative association rules based on correlation coefficient
Guozhi Zhang · Journal of Shaanxi University of Technology · 2005
Description of negative association rules(NAR) focuses on mutually exclusive correlations among items.They play important roles just as traditional positive association rules(PAR) do.However,most algorithms are only for discovering positive rules and lose negative rule.According to the correlation coefficient theory in statistics,this paper presents a new algorithm for discovering both positive and negative association rules.Experiment results demonstrate the algorithm is efficient.