In order to achieve high efficiency and low cost of massive data mining,and provide decision references for enterprise,the mod-el of massive data mining based on cloud computing has been proposed. The massive data's processing and storage of the model were car-ried on the cloud computing environment. Firstly,take some certain preprocessing for the massive data to form data with the same struc-ture. Then,use the MapReduce model on the cloud computing platform to parallelly process the data efficiently. Finally,get the needed re-sult of data mining. The efficiency of massive data mining based on cloud computing is clearly higher than traditional data mining. Mean-while,the accuracy of data mining will be improved. Along with the increase of data,the advantage of the model will increasingly obvi-ous.% 为了实现高效率低成本的海量数据挖掘，为企业决策提供参考，提出了基于云计算的海量数据挖掘模型。该模型中海量数据的处理和存储都是在云计算环境中进行的，首先对海量的数据进行一定的预处理，形成结构一致的数据后，应用云计算平台上的MapReduce模型进行高效的并行数据处理，最后得到所需的数据挖掘结果。基于云计算的海量数据挖掘的效率明显高于传统的数据挖掘，并且数据挖掘结果的准确性有了一定的提高，而且随着数据量的增多，该模型的优势会愈发明显。
展开▼
