Construction of Japanese Interactive Analysis System Based on Perception Model and Pattern Mining

Construction of the Japanese interactive analysis system based on perception model and pattern mining is studied in this paper. In the multi-segment support model, the minimum support that meets the required conditions is set for each individual item in the data item set. When looking for frequent sets, use the maximum or minimum value of the minimum support of each item in the related item set to mine. Based on this model, the pattern mining framework is defined. The counting matrix improves the discovery efficiency of the positive and negative frequent items. In the strong association rule discovery stage, and the interactive model is defined. The proposed model is simulated on the real scenarios and the experiment is conducted.