Implementation of Data Mining Algorithm Based on Distributed Cloud Platform

MapReduce and Hadoop distributed data processing technologies are used for systematic research. The system is interactive in distributed computing, data mining, service response and cloud environment. At the level of data mining, the normalized method is used to normalize the data, so that it has a standardized dimension. The converted signal is denoised by ICA fast decomposition method. Cloud DM takes full advantage of Hadoop's open-source cloud platform, which is able to efficiently process large amounts of data. This provides a service model for the development and operation of distributed data mining system. This paper introduces the core components of the business-based cloud computing mining engine and its implementation methods. Combined with data mining technology in cloud computing environment, large-scale data storage, processing and data interoperability are realized. Experiments show that this method can efficiently mine the spatial attributes of the city and improve the efficiency of data mining to a great extent.