Learning in Dynamic Environments

In this chapter, the problem of drifting data streams in dynamic environments is formalized, and its framework is defined. Then, the kinds and characteristics of the concept drift are presented. Finally, the real-world applications generating drifting data streams are discussed. The goal is to give a picture of the problem of learning from data streams in dynamic environments, its causes, sources, and characteristics in order to discuss later alternatives to solve this problem.

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