| 摘 要: 在弱关联冗余环境下，开展的挖掘算法应用需要考虑关联属性，本文主要从模糊神经元网络学习算法与 弱关联规则模型，建立两方面内容展开探讨，整理出算法应用所产生的数据信息，对大数据环境挖掘算法进行深入研 究，为网络环境性信息处理任务的高效开展，建立一个稳定基础环境。 |
| 关键词: 弱关联；冗余环境；挖掘算法 |
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中图分类号: TP3-0
文献标识码: A
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| Research on the Mining Algorithm in the Weak Correlation Redundant Environment |
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CAI Liuping
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( Tianhe College of Guangdong Polytechnic Normal University, School of Communication and Information, Guangzhou 510540, China)
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| Abstract: In the week correlation redundant environment,the correlation attributes need to be taken into consideration in the application of mining algorithm.On the basis of the fuzzy neural network learning algorithm and the weak correlation rule model,the paper discusses the two aspects,sorts out the data generated through the algorithm,further studies the mining algorithm of big data environmental information,and establishes a stable fundamental environment in order to efficient process the network environment information. |
| Keywords: weak correlation;redundant environment;mining algorithm |
