Abstract
With the advent of the era of big data, the dynamic characteristic of data performance is more outstanding. People on the data of “freshness” require increasingly higher, and the traditional static database which is based on data mining has not satisfied the demand of real-time. In modern world, the data generated constantly in the various fields, such as sensor networks, finance, Web logs, and data communications and other fields, which has generated a lot of dynamic data. Dynamic data mining is a way to find hidden knowledge approach of dynamic data approach. For the dynamic data, the paper reviews the processing methods of dynamic mining which includes the treatment stream data mining, distributed processing framework and approach incremental mining in now days. It introduces the main ideas of the various treatment methods, specific methods and related features.
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