A DATA mining Procedure Using Neural Network- Self Organization Map and Rough Set to Discover Association Rules

To solve this problem, this study proposed a novel neural network model, Ecological Succession Neural Network (ESNN), which is inspired by the concept of ecological succession

Step 5: Receive the mining item list from control processor, then according to the mining item list and PFP-Tree’s method to exchange data to each CPs. Step 6: According the

According to the related researches the methods to mine association rules, they need too much time to implement their algorithms; therefore, this thesis proposes an efficient

由於資料探勘 Apriori 演算法具有探勘資訊關聯性之特性，因此文具申請資 訊分析系統將所有文具申請之歷史資訊載入系統，利用

(1999), "Mining Association Rules with Multiple Minimum Supports," Proceedings of ACMSIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego,

Therefore, a new method, which is based on data mining technique, is proposed to classify driving behavior in multiclass user traffic flow.. In this study, driving behaviors

To enhance the generalization of neural network model, we proposed a novel neural network, Minimum Risk Neural Networks (MRNN), whose principle is the combination of minimizing

It applied Data Mining technology about clustering and association rules to figure out optimal short-turn service route and optimal express service route, with the objective to