Abstract
The association rules generated by traditional algorithms have the shortcomings of few classes and low correlation.Based on the analysis of these shortcomings,and combined with Spearman rank correlation coefficient,a new multi-class association rule algorithm was proposed.Based on the strong association rules generated by traditional algorithms,the new algorithm used Spearman rank correlation to calculate the synchronous and asynchronous correlation coefficient.Setting the correlation coefficient as the interest threshold,the new algorithm can generate synchronous positive rules,contrary positive rules,synchronous negative rules and contrary negative rules.Experiment has been carried out to illustrate the effectiveness and superiority of the algorithm.
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