Quality Analysis and Evaluation of Tracks Based on Improved Apriori Algorithm

A design scheme of quality analysis and evaluation system of tracks based on improved Apriori algorithm is proposed. The initial data is preprocessed to build the efficient data warehouse firstly. Then reduction is interpreted in a consistent decision table which we have preprocessed. To capture the association rules, the proposed methods are used to reduce the times of scanning candidate frequent item sets. Experiments show that the proposed method is reasonable and effective.