0引言现在是一个信息化的时代,随着计算机技术、网络技术的不断发展,互联网行业得到了大力发展,人们越来越离不开网络化。但是互联网的大力发展也带来一个重大问题,信息数据急剧膨胀,所需要处理的数据越来越多,造成了计算机技术发展的重大压力。云计算数据挖掘技术应需求而生,有效的缓解了数据膨胀的现状,对数据管理提供了重要的技术支持。本文对云计算下数据挖掘技术的结构研究、数据的划分策略、数据的存储策略、节点 0 Introduction Now is an information age, with the continuous development of computer technology, network technology, the Internet industry has been vigorously developed, people are more and more inseparable from the network. However, the vigorous development of the Internet has also brought about a major problem. The rapid expansion of information and data requires more and more data to be processed, which has caused great pressure on the development of computer technology. The demand of cloud computing data mining technology was born, which effectively alleviated the current situation of data expansion and provided important technical support for data management. In this paper, the structure of data mining technology under cloud computing, data segmentation strategy, data storage strategy, nodes