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This chapter reveals the new challenges that the researchers in feature selection need to face as a consequence of the explosion of “Big Data” and, in particular, “Big Dimensionality.” Section 6.1 states the implications of having to deal with an unprecedented number of features. Then, Section 6.2 defines the concept of scalability in the current scenario. We also mention new approaches that need to be studied nowadays by feature selection researchers, such as distributed feature selection (Section 6.3) and real-time processing (Section 6.4). Finally, Section 6.5 summarizes and discusses the contents of this chapter.
KeywordsFeature Selection Online Learning Feature Selection Method Feature Selection Algorithm Concept Drift
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