摘要
数据挖掘是从大量的数据中发现隐含的规律性的内容,解决数据的应用质量问题。充分利用有用的数据,是数据挖掘技术最重要的应用。因此,采用数据挖掘技术从WWW上提取隐含的、未知的、有潜在应用价值的信息,具有十分重要的现实意义和广泛的应用前景。本文简单阐述了数据挖掘和知识发现的基本理论,分析了网络信息检索与挖掘的特征,设计了一个较为基于Web的图像数据挖掘的系统模型,绘制了各功能模块的框图,并在系统中引入了徒手绘草图方法,增强了系统的适用性。
Data Mining find out the disciplinarian content from a mass of data, and .settle the applied quality problem of data. The best important application of data mining technology is sufficient use of data. That get connotative unknown and latency applied in- formation from www through data mining technology has the important significance and broad applied foreground. This article designs a system model of data mining based on Web images , and protracts flow chart of every functional module through expounding the theory of data mining and knowledge finding, and analyzing the character of data mining and network information search. The system mode strengthens adaptability through inducting the measure of freehand.
出处
《微计算机信息》
2009年第21期136-138,共3页
Control & Automation
关键词
数据挖掘
网络信息检索
数据库
知识库
Data Mining
Network information Search
Databases
Repository