动态挖掘进程中参数演化与矛盾域分布规律的研究

Research Overview of Information Increasing Mechanism in Inner Cognitive Mechanism of Knowledge Discovery

基于内在认知机理的知识发现理论研究基础,宏观地描述了其核心内容之一-信息扩张机制的内涵及主要研究内容,给出了动态挖掘进程规律的部分成果,详细阐述了参数演化规律及矛盾域的分布规律,揭示了动态(在线)挖掘进程中潜在的本质、规律与复杂性,为进一步解决海量数据、动态数据给挖掘进程带来的本质的、极富挑战性的难题奠定了较为坚实的理论基础。

On the basis of research on knowledge discovery theory based on inner cognition mechanism, this paper described one of the kernel contents, which was the connotation and main content of information increasing mechanism, and gave the part production of dynamic mining process regulation. The regulations of parameter evolvement and contradiction field distribution were exhausted in detail, the potential essence, regulation and complexity were revealed in the process of dynamic mining. It established the solid theory basis for solving the essential and challenging problem in the process of sponge data mining and dynamic data mining.