摘要
属性约简算法是数据挖掘领域发展的核心内容,是确保我们能够从海量的数据中快速、准确的找到最具价值数据内容的关键。但目前的属性约简算法还并不够完善,远远跟不上互联网飞快发展的脚步,存在运算效率还不够高、应用范围太过狭隘等缺陷,还有待我们去做突破性研究。因此,数据挖掘技术的研究和开发应侧重于努力从属性约简算法上寻找突破口,进而优化算法,提高数据挖掘技术的工作效率。粗糙集理论方法及模糊集理论方法在处理不确定数据过程中各具特点,两者都可用来砚察、侧试数据并进行推理。虽然它们之间有一些重处,但两者的粉眼点和计算方法是不一样的,因此不能相互替代,而是必须结合起来使用。该文在研究粗粗集和模栩集理论的基础上将两者相结合,提出了一个断的篇性约简算法。
The research on attribute reduction algorithm is always the core problem in data mining field,is the enterprise deci sion knowledge acquisition technology.However,the existing algorithm of attribute reduction in the efficiency of the algo rithm,algorithm of storage,or in the algorithm's application have yet to be studied.Once in the algorithm research to achieve a breakthrough,will greatly promote the data mining technology in practical application,improve the decision effi ciency of enterprises.Rough set theory and Xu mode set theory is used to deal with incomplete and uncertain information the ory,both can be used to observe,test data,and reasoning.Although they have some heavy,but both powder starting point and the calculation method is not the same,therefore,cannot replace each other,but must be used in combination.This pa per in the study of rough set and Xu mode set theory based on a combination of both,put forward a break of reduction algo rithm.
出处
《电脑知识与技术（过刊）》
2012年第11X期7718-7719,共2页
Computer Knowledge and Technology
关键词
粗糙集
模糊集
约简算法
rough set
fuzzy set
reduction algorithm
