基于并行算法的数据挖掘平台研究

Research on Data Mining Platform Based on Parallel Algorithm

在大数据环境下,如何挖掘数据的价值信息成为目前研究的热点.针对大数据背景下数据挖掘问题,提出了一种基于并行算法的数据挖掘平台.通过实时监测数据的非正常波动,及时发现价值信息,以达到挖掘核心信息的目的.实验表明:该算法可有效地挖掘出具有价值的信息,无论在速度还是精度上都能保证实时在线处理的要求,达到为平台高效数据挖掘提供可靠的参照依据.

In the big data environment,how to excavate the value information of data has become the focus of current research.In this paper,a data mining platform based on parallel algorithm is proposed for data mining in big data background.Through real-time monitoring of abnormal fluctuations of data,value information can be found in time to achieve the purpose of mining core information.The experiments show that the algorithm can effectively mine valuable information,both in speed and accuracy can ensure the requirements of real-time online processing,to ensure that the platform can provide a reliable reference for efficient data mining.