Online mining of data streams: applications, techniques and progress

Abstract

In this paper, we focus on the differences between mining static large data sets and data streams. Over the years, the database and data mining community have learned valuable lessons from mining static large data sets, and developed many useful algorithms and tools for this purpose. The paper aims at providing a shortcut to the current frontier of stream mining research. We emphasize the research problems, the inherent technical challenges and the latest results. Particularly, the paper highlights new challenges and potential research interests. Research community has been interested in the integration between data mining tasks and database management systems.