Feature Engineering Based on Sensory Data

  • Mark HoogendoornEmail author
  • Burkhardt Funk
Part of the Cognitive Systems Monographs book series (COSMOS, volume 35)


Approaches to automatically generate useful features from sensory data are introduced in this chapter. Most of the approaches introduced focus on datasets that have a temporal ordering. Features in the time domain are explained, thereby summarizing both numerical and categorical values in a certain historical window. The frequency domain is also discussed, including Fourier transformations and features one can derive from these transformations. In addition, the extraction of features from unstructured data is discussed, mainly focusing on text data.

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Department of Computer ScienceVrije Universiteit AmsterdamAmsterdamThe Netherlands
  2. 2.Institut für WirtschaftsinformatikLeuphana Universität LüneburgLüneburgGermany

Personalised recommendations