大规模数据集高效数据挖掘算法研究

Research on efficient data mining algorithms for large scale data sets

对于频繁项集、聚类、离群点检测等大数据处理,过去简单的数据统计等数据处理方式已经不能适应当前大数据处理的要求。所以,应积极推广数据挖掘,互联网、物联网等新型数据处理方式。

For frequent item sets, clustering, classification, outline detection and other large data processing, in the past simple data query, data statistics and other data processing methods have been unable to meet the requirements of the current big data processing.