Category Classification and Effective Retrieval Based on Data Mining Technique

对报纸之类的文章进行分类是非常困难的。为了将这类文章有效地分类到预先分类的类别中，我们使用了从原始数据中派生的关联规则，从而提高了分类精度。另一方面，它也是在世界各地交付内容并检索它们的重要技术。并提出了在考虑安全性的前提下，有效地在对等网络上传递和检索内容的技术。

It is very difficult to categorize articles in such as newspapers. In order to categorize such articles into pre-classified categorizes effectively, we use association rules derived from the original data and then can improve the categorizing precision. On the other hand, it is also important technology to delivery content over the world and retrieve them. And we have proposed techniques to delivery and retrieve content over Peer-to-Peer network effectively with considering security.