并行数据挖掘方法在水利普查成果分析中的应用

随着第一次全国水利普查的结束，海量的水利普查数据随之产生。将云计算技术应用在水利普查数据挖掘领域，可以更加快速、高效和低成本地为水利决策提供科学、合理的支持。本文提出基于Map/Reduce的水利普查数据决策树分类挖掘方法MRC4.5算法，并将该算法应用于全国水利普查地下水取水井数据挖掘中。实验结果表明，与传统的C4.5算法相比，MRC4.5算法在处理大规模数据集时具有更高的执行效率和良好的加速比。

Parallel Data Mining Methods in Analysis of Results of Water Census

With the end of first nation water census, massive water census data have been generated. To use the cloud computing technology in the area of water census data mining can provide scientific, reasonable supports for the decision of water conservancy in a quick, efficient and economical way. This paper proposes water census data decision tree classified mining algorithm MRC4.5 based on Map/Reduce and water census data of groundwater wells is applied to data mining with the algorithm. The experimental results indicate that compared with the traditional algorithm C4.5, MRC4.5 algorithm has higher efficiency and good speedup when dealing with massive data sets execution.