SFCS Algorithm of Data Mining in Cyberspace

Zhike KUANG 

Hunan City University, Yiyang, Hunan 413000, CHINA

Abstract: For FCS does not have the ability to find the trend of the sub-structure space, this article proposes the SFCS algorithm. SFCS maintains the frequency of version changes at the time point, and also it maintains the frequency of vertical degree and the breadth changes at the space point. SFCS mining solves the problem that FCS unable to solve the changes of sub-structure spatial extent, which can be applied in application area, which concerns the spatially frequent changes of the sub-structure of the semi-structured data. Experimental results show that: the proposed algorithm has good scalability and can maintain the frequency of mining re-sults.

Keywords: Data exchange; Internet; Documents; Dynamic variability