智能数据挖掘理论体系研究

Theoretical frameworks for KDD based on intelligence

数据挖掘是数据库系统最重要的前沿课题之一,是数据库技术、人工智能、机器学习等多学科相结合的产物.在这些学科的理论基础上,研究人员提出了许多数据挖掘理论和方法,并取得了许多重要的研究成果.在免疫计算理论的基础上,借鉴生命科学中免疫的概念与理论,围绕免疫进化、神经网络、免疫控制图等智能技术,提出智能数据挖掘理论框架体系.

Data mining is currently a hot research topic of the knowledge discovery domain. The core components of data mining technology have been under development for decades in research areas such as statistics, artificial intelligence, and machine learning. By analyzing the concept and theory of immunity in life sciences, the theoretical frame of KDD based on intelligence is discussed.