面向领域的数据驱动自主式知识获取模型及实现

数据挖掘是一个非常有用的工具,通过它能够从大型数据库中发现知识.目前,众多研究者将其主要研究工作放在了数据挖掘的模型与方法等工程技术问题上,对于数据挖掘的一些基础理论问题却研究不足.通过对数据挖掘基本理论的研究,提出了面向领域的数据驱动自主式知识获取模型.并通过一系列数据驱动自主式知识获取算法验证了该模型的有效性.

Domain-oriented data-driven knowledge acquisition model and its implementation

Data mining technology is a useful tool for knowledge discovery from large-scale databases. At present, most data mining researchers pay much attention to technical problems for developing data mining models and methods, while little to basic issues of data mining. Based on the study of the basic theory of data mining, a domain oriented data-driven knowledge acquisition model was proposed, and the validity of this model was verified by the data driven data mining algorithms.