基于OLAP和聚类分析结合的美国专利挖掘系统

Design and realization of US patent mining system based on combination of OLAP and clustering analysis

以美国授权专利数据库为实例,对OLAP及聚类分析技术进行了深入而细致的探讨。针对它们的共通性和差异性,提出了两者结合的美国专利挖掘系统的设计与实现方案,并给出了可视化结果。在此基础上,构建了数据挖掘系统的通用框架。结果表明,将OLAP和数据深层挖掘技术紧密配合、协调使用将是数据挖掘发展的一个方向和趋势。

For US issued patent databases as example,OLAP and clustering technologies are in-depth discussed.In view of the similarity and difference of OLAP and clustering,the design and realization scheme of US patent mining system based on the combination of them is presented and their visualization outcomes are displayed,Based on that,a general frame of data mining system is constructed.The results show that the combinative method of OLAP and deep-seated mining technologies will be a trend of data mining development.