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Emerging Challenges

  • Verónica Bolón-Canedo
  • Noelia Sánchez-Maroño
  • Amparo Alonso-Betanzos
Chapter
Part of the Artificial Intelligence: Foundations, Theory, and Algorithms book series (AIFTA)

Abstract

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.

Keywords

Feature Selection Online Learning Feature Selection Method Feature Selection Algorithm Concept Drift 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Verónica Bolón-Canedo
    • 1
  • Noelia Sánchez-Maroño
    • 1
  • Amparo Alonso-Betanzos
    • 1
  1. 1.Facultad de InformáticaUniversidad de A CoruñaA CoruñaSpain

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