粒度计算在数据仓库挖掘中的应用

The application of granular computing theory in data warehouse mining

粒度计算是人工智能领域中的一种新理念和新方法.它主要用于解决海量数据的挖掘和复杂问题的求解.商空间粒度计算方法是结合商空间理论描述问题,并分析求解问题.本文将商空间粒度计算方法应用于对数据仓库中的数据进行粒度分析及相关数据挖掘.

In the field of artificial intelligence,granular computing（GrC） is a new concept and new ways. GrC mainly provides a powerful tool for the solution of the massive data mining and complex problems. The application of granular computing of the quotient space theory combines the quotient space theory to describe and solve the problem. This paper focuses on the application of this theory through the granular computing analysis of the data warehouse and data mining.