earticle

영어

In the study of mine GIS index optimization of mining decision support system, in order to reduce the overlap between the index nodes, in this paper we propose the intensity of polygon to ensure the index nodes have good geometry. In this paper, we also put forward artificial fish swarm clustering based on Voronoi diagram (AFSCV) and apply the AFSCV to mine GIS index splitting algorithm. In the end, we give the optimization rules of AFSCV. In order to verify the effectiveness of our algorithm we compare our method with traditional methods, the experimental results show that our method can improve the query performance of mine GIS database and greatly reduce the overlap which generates from reinsert after the index node split.