• 中国精品科技期刊
  • CCF推荐A类中文期刊
  • 计算领域高质量科技期刊T1类
Advanced Search
Xiong Zhongmin, Hao Zhongxiao. An Approach to Termination Decision for a Rule Set Based on Activation Path and Conditional Formula[J]. Journal of Computer Research and Development, 2006, 43(5): 901-907.
Citation: Xiong Zhongmin, Hao Zhongxiao. An Approach to Termination Decision for a Rule Set Based on Activation Path and Conditional Formula[J]. Journal of Computer Research and Development, 2006, 43(5): 901-907.

An Approach to Termination Decision for a Rule Set Based on Activation Path and Conditional Formula

More Information
  • Published Date: May 14, 2006
  • Supporting active rules has become an important characteristic of modern database systems. Active rules termination is an important problem of active database. To prove termination by using triggering and activation graphs has conservativeness. In order to refine the existing works, the formula constructed for an effective activation path is proposed in this paper and a novel approach about how to determine the termination of active rules set is presented. The analytical results prove that the proposed approach can detect more termination situations than any other existing works. Moveover, an algorithm for termination decision is provided, and its correctness and termination are proved.
  • Related Articles

    [1]Wu Jianhui, Zhang Jing, Li Renfa, Liu Zhaohua. A Multi-Subpopulation PSO Immune Algorithm and Its Application on Function Optimization[J]. Journal of Computer Research and Development, 2012, 49(9): 1883-1898.
    [2]Wang Bin. A Discrete Particle Swarm Optimization-based Algorithm for Polygonal Approximation of Digital Curves[J]. Journal of Computer Research and Development, 2010, 47(11): 1886-1892.
    [3]Jie Jing, Zeng Jianchao, Han Chongzhao. Self-Organized Particle Swarm Optimization Based on Feedback Control of Diversity[J]. Journal of Computer Research and Development, 2008, 45(3): 464-471.
    [4]Hu Jianxiu and Zeng Jianchao. A Two-Order Particle Swarm Optimization Model[J]. Journal of Computer Research and Development, 2007, 44(11): 1825-1831.
    [5]Ma Ming, Zhou Chunguang, Zhang Libiao, Ma Jie. Fuzzy Neural Network Optimization by a Multi-Objective Particle Swarm Optimization Algorithm[J]. Journal of Computer Research and Development, 2006, 43(12): 2104-2109.
    [6]Cui Zhihua and Zeng Jianchao. Modified Particle Swarm Optimization Based on Differential Model[J]. Journal of Computer Research and Development, 2006, 43(4): 646-653.
    [7]Zeng Jianchao and Cui Zhihua. A New Unified Model of Particle Swarm Optimization and Its Theoretical Analysis[J]. Journal of Computer Research and Development, 2006, 43(1): 96-100.
    [8]Dou Quansheng, Zhou Chunguang, Xu Zhongyu, Pan Guanyu. Swarm-Core Evolutionary Particle Swarm Optimization in Dynamic Optimization Environments[J]. Journal of Computer Research and Development, 2006, 43(1): 89-95.
    [9]Liu Anfeng, Chen Zhigang, Long Guoping, and Zeng Zhiwen. A Resource Optimizing Scheduling Algorithm of Differentiated Service of Double Minimum Balance in Web Clusters[J]. Journal of Computer Research and Development, 2005, 42(11): 1969-1976.
    [10]Chen Hongzhou, Gu Guochang, and Kang Wangxing. A Sentient Particle Swarm Optimization[J]. Journal of Computer Research and Development, 2005, 42(8): 1299-1305.

Catalog

    Article views (669) PDF downloads (382) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return