构造性覆盖算法的知识发现方法研究

该文提出一种新的基于构造性覆盖算法的知识发现方法。由于覆盖网络构造方法的特殊性，使得形成的每个覆盖领域都很有价值，对覆盖领域内样本分析能挖掘出数据内在的知识，且可以根据需求构造不同的覆盖网络，形成对数据的多侧面的分析；实验结果表明覆盖算法用于知识发现的方法是有效可行的。

Study on the Method of Knowledge Discover Based on the Structured Covering Algorithm

This paper proposes a new method of knowledge discovery based on the structured covering algorithm. Since the network of covering domains is constructed through a special method, it makes each covering domain a valuable pattern. Through analyzing the samples covered by the covering domain, certain valuable pattern will be found, which includes clustering information of samples, association rules among the data, the outlier analysis, etc. And in order to meet different requirement of users, different covering networks can be structured, therefore, multi-sides of data can be analysed. The experiments show that using the covering algorithm to discover knowledge of data is effective and feasible.