Big data processing is a technical field that has received wide attention and research in recent years. Data mining， as a technology for mining hidden valuable information from a large amount of data， is an effective tool for processing big data. This paper mainly classifies and summarizes the research status of big data processing algorithms from the perspective of data mining. Firstly， the methods of big data classification for streaming data are introduced， including single-model algorithms and integrated classification algorithms. Secondly， the clustering methods and association rule mining methods for big data are summarized respectively from the perspective of single-machine algorithms and multi-machine algorithms based on distributed parallel platforms. Finally， the existing research progress of the big data-oriented data mining algorithm is summarized and the prospect of future development trend is put forward.