Risk Analysis of the Association Rules in the Incremental Mining Based on the Weighted Model

This paper presents the weighted model in the incremental mining algorithm and proposes risk analysis of the strong association rules for trend forecasting. We also analyze the risk degree of the lost rules based on the incremental mining. In practical application, the new method improves the precision of the incremental mining and efficiently uses the mining results for the factual decision-making and trend forecasting.