Catching up with the Data: Research Issues in Mining Data Streams.

Abstract

In many domains, data now arrives faster than we are able to mine it. To avoid wasting this data, we must switch from the traditional "one-shot" data mining approach to systems that are able to mine continuous, high-volume, open-ended data streams as they arrive. In this paper we identify some desiderata for such systems, report on our recent work realizing them, and outline a number of directions for future research.