Evolutionary Immune Mechanism and Its Application on Temporal Sequential Pattern Mining

Yang Bingru1、Qin Yiqing1,2、Song Zefeng1

Strategic Study of CAE ›› 2008, Vol. 10 ›› Issue (4) : 84-89.

PDF(794 KB)
PDF(794 KB)
Strategic Study of CAE ›› 2008, Vol. 10 ›› Issue (4) : 84-89.

Evolutionary Immune Mechanism and Its Application on Temporal Sequential Pattern Mining

  • Yang Bingru1、Qin Yiqing1,2、Song Zefeng1

Author information +
History +

Abstract

A new approach to solve the problem of dynamic data mining is presented. Firstly a new concept of dynamic mining process is proposed. Next the evolutionary immune mechanism in KDD is illustrated, based on a comparison between the dynamic mining process and biological immune process.Additionally how to apply the approach to temporal sequential pattern mining and evaluate the experimental results are described. Finally the work and present proposals for future work are concluded.

Keywords

dynamic data mining / immune algorithm / dynamic mining process / evolutionary immune mechanism / temporal sequential pattern mining

Cite this article

Download citation ▾
Yang Bingru,Qin Yiqing,Song Zefeng. Evolutionary Immune Mechanism and Its Application on Temporal Sequential Pattern Mining. Strategic Study of CAE, 2008, 10(4): 84‒89
AI Summary AI Mindmap
PDF(794 KB)

Accesses

Citations

Detail

Sections
Recommended

/