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动态挖掘进程内在机制研究
引用本文:秦奕青. 动态挖掘进程内在机制研究[J]. 北京机械工业学院学报, 2010, 0(4): 40-44
作者姓名:秦奕青
作者单位:北京信息科技大学计算机学院,北京100192
基金项目:北京市教委科技计划面上项目(KM200910772013);北京市优秀人才培养资助D类项目(2009D005006000005);北京市属高等学校人才强教深化计划资助项目(PHR200907220)
摘    要:针对动态挖掘进程内在运行机理,通过对动态挖掘进程中不同挖掘任务的优化分析以及动态挖掘进程和生物免疫过程之间的对比分析,提出了动态挖掘进程的eDMP机制;定义健壮型协调器,融合进化计算和免疫算法,设计了eDMP机制的实现方案;在理论分析和方案设计的基础上,给出了eDMP机制的一般流程。实验结果表明,eDMP机制及其实现方案在解决动态挖掘问题上有效、适用。

关 键 词:动态挖掘进程  进化免疫机制  数据挖掘  eDMP机制

Research on the inner mechanism of dynamic mining process
QIN Yi-qing. Research on the inner mechanism of dynamic mining process[J]. Journal of Beijing Institute of Machinery, 2010, 0(4): 40-44
Authors:QIN Yi-qing
Affiliation:QIN Yi-qing (School of Computer Science, Beijing Information Science and Technology University, Beijing 100192, China)
Abstract:By the optimization analysis for typical dynamic mining tasks and the contrast between the nature immune system and dynamic mining process, a new mechanism eDMP in dynamic mining process is first presented. Moreover, a new concept robust coordinator is given, then a design schema for eDMP is proposed based on the incorporation between genetic algorithm and immune algorithm by the coordinator. Finally, a general program for eDMP is defined. Experiments show the eDMP mechanism is applicable and effective in dynamic mining.
Keywords:dynamic mining process  genetic-immune mechanism  data mining  eDMP
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