---
_id: '2018'
abstract:
- lang: eng
  text: Applying information fusion systems aims at gaining information of higher
    quality and simultaneously decreasing computational and communicational efforts.
    An increased availability of sensors in industrial machines, but also in everyday
    life, results in large amounts of potential features. Each feature entails computational
    and communicational costs. An information fusion system may not require all features,
    supported by the available sensors, to fulfil its purpose. Feature selection methods
    reduce the amount of features with the aim to maintain or even increase performance.
    This contribution proposes a feature selection approach exploiting the inherent
    conflict between features and utilising a state-ofthe-art information fusion operator.
    The performance of the proposed method is evaluated in the scope of a publicly
    available data set and benchmarked against an established feature selection method.
    It is shown that the proposed approach is faster and produces more accurate feature
    subsets containing very few features, although the established method produces
    slightly better performing subsets for large feature subsets.
author:
- first_name: Christoph-Alexander
  full_name: Holst, Christoph-Alexander
  id: '64782'
  last_name: Holst
- first_name: Uwe
  full_name: Mönks, Uwe
  id: '1825'
  last_name: Mönks
- first_name: Volker
  full_name: Lohweg, Volker
  id: '1804'
  last_name: Lohweg
  orcid: 0000-0002-3325-7887
citation:
  ama: 'Holst C-A, Mönks U, Lohweg V. Conflict-based Feature Selection for Information
    Fusion Systems. In: Dortmund: 27. Workshop Computational Intelligence VDI/VDE-Gesellschaft
    Mess- und Automatisierungstechnik (GMA); 2017:279-295. doi:<a href="https://doi.org/10.5445/KSP/1000074341">10.5445/KSP/1000074341</a>'
  apa: 'Holst, C.-A., Mönks, U., &#38; Lohweg, V. (2017). Conflict-based Feature Selection
    for Information Fusion Systems (pp. 279–295). Presented at the 27. Workshop Computational
    Intelligence , Dortmund: 27. Workshop Computational Intelligence VDI/VDE-Gesellschaft
    Mess- und Automatisierungstechnik (GMA). <a href="https://doi.org/10.5445/KSP/1000074341">https://doi.org/10.5445/KSP/1000074341</a>'
  bjps: '<b>Holst C-A, Mönks U and Lohweg V</b> (2017) Conflict-Based Feature Selection
    for Information Fusion Systems. Dortmund: 27. Workshop Computational Intelligence
    VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), pp. 279–295.'
  chicago: 'Holst, Christoph-Alexander, Uwe Mönks, and Volker Lohweg. “Conflict-Based
    Feature Selection for Information Fusion Systems,” 279–95. Dortmund: 27. Workshop
    Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik
    (GMA), 2017. <a href="https://doi.org/10.5445/KSP/1000074341">https://doi.org/10.5445/KSP/1000074341</a>.'
  chicago-de: 'Holst, Christoph-Alexander, Uwe Mönks und Volker Lohweg. 2017. Conflict-based
    Feature Selection for Information Fusion Systems. In: , 279–295. Dortmund: 27.
    Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik
    (GMA). doi:<a href="https://doi.org/10.5445/KSP/1000074341,">10.5445/KSP/1000074341,</a>
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Holst, Christoph-Alexander</span>
    ; <span style="font-variant:small-caps;">Mönks, Uwe</span> ; <span style="font-variant:small-caps;">Lohweg,
    Volker</span>: Conflict-based Feature Selection for Information Fusion Systems.
    In: . Dortmund : 27. Workshop Computational Intelligence VDI/VDE-Gesellschaft
    Mess- und Automatisierungstechnik (GMA), 2017, S. 279–295'
  havard: 'C.-A. Holst, U. Mönks, V. Lohweg, Conflict-based Feature Selection for
    Information Fusion Systems, in: 27. Workshop Computational Intelligence VDI/VDE-Gesellschaft
    Mess- und Automatisierungstechnik (GMA), Dortmund, 2017: pp. 279–295.'
  ieee: C.-A. Holst, U. Mönks, and V. Lohweg, “Conflict-based Feature Selection for
    Information Fusion Systems,” presented at the 27. Workshop Computational Intelligence
    , Dortmund, 2017, pp. 279–295.
  mla: Holst, Christoph-Alexander, et al. <i>Conflict-Based Feature Selection for
    Information Fusion Systems</i>. 27. Workshop Computational Intelligence VDI/VDE-Gesellschaft
    Mess- und Automatisierungstechnik (GMA), 2017, pp. 279–95, doi:<a href="https://doi.org/10.5445/KSP/1000074341">10.5445/KSP/1000074341</a>.
  short: 'C.-A. Holst, U. Mönks, V. Lohweg, in: 27. Workshop Computational Intelligence
    VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), Dortmund, 2017,
    pp. 279–295.'
  ufg: '<b>Holst, Christoph-Alexander et. al. (2017)</b>: Conflict-based Feature Selection
    for Information Fusion Systems, in: , Dortmund, S. 279–295.'
  van: 'Holst C-A, Mönks U, Lohweg V. Conflict-based Feature Selection for Information
    Fusion Systems. In Dortmund: 27. Workshop Computational Intelligence VDI/VDE-Gesellschaft
    Mess- und Automatisierungstechnik (GMA); 2017. p. 279–95.'
conference:
  end_date: 2017-11-24
  location: Dortmund
  name: '27. Workshop Computational Intelligence '
  start_date: 2017-11-23
date_created: 2019-11-25T09:06:44Z
date_updated: 2023-03-15T13:49:38Z
department:
- _id: DEP5023
doi: 10.5445/KSP/1000074341
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://d-nb.info/1147444048/34#page=291
oa: '1'
page: 279-295
place: Dortmund
publication_identifier:
  eisbn:
  - 978-3-7315-0726-0
publication_status: published
publisher: 27. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und
  Automatisierungstechnik (GMA)
status: public
title: Conflict-based Feature Selection for Information Fusion Systems
type: conference
user_id: '15514'
year: 2017
...