Simulation Environment of Virtual Visualization Technology Based on Apriori Algorithm

Abstract:

Based on the optimization emergency management legal mechanism of environment emergency, we introduce the Apriori law to the emergencies analysis, and use support degree and confidence degree to improve the Apriori law, so the law has stronger relevance. We use the VC software to programming mathematical model of the law, and use VC source code and engineering design model to design the computer optimization system of environmental emergency management legal mechanism. In order to verify the effectiveness and reliability of the system, we do correlation calculation on legal mechanism before and after optimization, and obtain the correlation visualization process curve of Apriori law, and obtain the optimum structure of environmental emergencies legal mechanism. It provides a new computer method for studying environmental emergency management.

• Periodical: Applied Mechanics and Materials (Volumes 608-609)
• Pages: 1131-1135
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.608-609.1131
• Online since: October 2014
• Authors: Guo Min Zhuang*
• Keywords: Apriori Algorithm, Confidence Degree, Engineering Design, VC Software, Virtual Environment, Visualization

References

[1] Zheng Jigang, Wang Bianjiang. Current situation and development trend of data mining research. Journal of Honghe University, 2010(2): 34-36.

[2] Li Guohui, Chen Hui, Yang Bing. Data flow prediction query law data flow probabilistic model. Computer science, 2012, 35(4): 66-69.

[3] Wang Huajin. Review of visualization technology in data mining. Science Plaza, 2011(1): 235-237.

[4] Tong Wang, He Bulian. Web log mining and improved Apriori law. Journal of Tianjin University of Technology, 2011, 3(1): 14-16.

[5] Wang Rui, Li Jing, Xiong Haiyun. Visual implementation of Apriori law based on association rules. Computer engineering and design, 2012(2): 757-759.

[6] Yang Nan. Application of the Web data mining in cloud computing. Computer knowledge and technology, 2011(7): 26-28.

[7] Wang Zhongzhuang, Deng Lundan, Shi Webin. Application of data mining technology in the e-commerce recommendation system. Microelectronics & computer, 2011, 24(4), 197-199.

[8] Zhao Yan, Jiang Wei. The characteristics and its application field of several methods of data mining. Fujian computer, 2010, 23(4): 67-68.

[9] Zhang Fuguo. The e-commerce recommendation system based on collaborative filtering technology. Science and Technology Square, 2011(8): 45-48.

[10] Mao Demei, Ding Ruiguo. A comparative study on association rules law in data mining. Journal of West Anhui University, 2012, 22(5): 78-82.

[11] Wu Shaohan, Yu Zhaoping. Research on association rules in data mining. Microcomputer information, 2012(3): 147-149.