Earticle

초록

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.

목차

Abstract
 1. Introduction
 2. Artificial Fish Swarm Clustering Based on Voronoi Diagram
  2.1. Related Definition
  2.2. Artificial Fish Swarm Clustering Based on Voronoi Diagram (AFSCV)
 3. Optimization Rules Based on the AFSCV
 4. AFSCV Experiment and Performance Analyses
 5. Conclusions
 References

키워드

저자

• Bo Wang [ Computer Center, Qiqihar University, Qiqihar Heilongjiang 161006, China ]
• Bairui Tao [ Computer Center, Qiqihar University, Qiqihar Heilongjiang 161006, China ]
• Yanju Liu [ Computer Center, Qiqihar University, Qiqihar Heilongjiang 161006, China ]
• Xiaoxin Du [ College of Computer and Control Engineering, Qiqihar University, Qiqihar Heilongjiang 161006, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605