浅析云模型在定性规则提取中的应用

很多应用中需要对海量信息进行数据处理、动态分析,但目前还无法从大量数据中自动提取定性规则。因此,迫切需要一种能够从海量数据中自动提取有效信息、及动态分析的方法。数据挖掘技术可以实现上述功能,但难以对海量数据空间进行有效划分。本文将云模型应用到数据挖掘领域,克服了传统数据挖掘方法在数据空间划分上的不足,提出一种二维尺度云变换方法,有效地实现了定性规则提取。

Analysis of Application on Cloud Model in Qualitative Rule Extraction

in many practical applications,the need for massive information data processing,dynamic analysis,but it is not a large amount of data from automatic extraction of qualitative rules;therefore,there is an urgent need for a can from the data automatically extract the effective information,and the information dynamic analysis method.Data mining technology can realize the function of data space,but it is difficult to effectively divide;the cloud model is applied to the field of data mining,to overcome the traditional data mining methods in data space partition the insufficiency,proposed a two-dimensional scale cloud transform method,the effective implementation of the qualitative rules extraction.