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Conference Object

Should They Stay or Should They Go? The Prediction of Customer Churn in Energy Sector

Author(s) / Creator(s)

Vezzoli, Michela
Zogmaister, Cristina

Abstract / Description

Conference Talk

Persistent Identifier

Date of first publication

2018-06-08

Is part of

Big Data in Psychology 2018, Trier, Germany

Publisher

ZPID (Leibniz Institute for Psychology Information)

Citation

Vezzoli, M., & Zogmaister, C. (2018, June 8). Should They Stay or Should They Go? The Prediction of Customer Churn in Energy Sector. ZPID (Leibniz Institute for Psychology Information). https://doi.org/10.23668/psycharchives.834
  • Author(s) / Creator(s)
    Vezzoli, Michela
  • Author(s) / Creator(s)
    Zogmaister, Cristina
  • PsychArchives acquisition timestamp
    2018-06-06T12:47:35Z
  • Made available on
    2018-06-06T12:47:35Z
  • Date of first publication
    2018-06-08
  • Abstract / Description
    Conference Talk
    en
  • Publication status
    unknown
  • Review status
    unknown
  • Citation
    Vezzoli, M., & Zogmaister, C. (2018, June 8). Should They Stay or Should They Go? The Prediction of Customer Churn in Energy Sector. ZPID (Leibniz Institute for Psychology Information). https://doi.org/10.23668/psycharchives.834
    en
  • Persistent Identifier
    https://hdl.handle.net/20.500.12034/632
  • Persistent Identifier
    https://doi.org/10.23668/psycharchives.834
  • Language of content
    eng
  • Publisher
    ZPID (Leibniz Institute for Psychology Information)
    en_US
  • Is part of
    Big Data in Psychology 2018, Trier, Germany
  • Dewey Decimal Classification number(s)
    150
  • Title
    Should They Stay or Should They Go? The Prediction of Customer Churn in Energy Sector
    en_US
  • DRO type
    conferenceObject
  • Visible tag(s)
    ZPID Conferences and Workshops