Improved Parallel Data Mining Policy for Cloud Computing Environments

Cloud computing is a business model. It distributes computing tasks in a large number of computer resource pool configuration. It can provide on-demand for the user computing power, storage capacity and application services capabilities. Cloud computing offers a cheap and efficient solution for storing and analyzing massive amounts of data. Data mining is going to extract useful information and knowledge from a lot of, incomplete, noisy, fuzzy, random data to hidden practice in which people do not know in advance, but is potentially. It has played a guiding role in many fields of scientific research and business decisions ,with far-reaching social and economic significance. Data mining policy for cloud computing environments has important theoretical significance and application value. In this paper, after a series of studies in the improvement of parallel data mining algorithms can greatly improve the efficiency of data mining algorithms.