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
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16_30 - 17_15 PPT Michela Vezzoli.pdfAdobe PDF - 1.03MBMD5: 87d50ca6900cfc12c0b6dc90ea9f7dc6Description: Conference Talk
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16_30 - 17_15 PPT Michela Vezzoli.pptxMicrosoft Powerpoint XML - 4.1MBMD5: 05ba98adfc4baf20a39ddaaf78c01868Description: Conference Talk
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There are no other versions of this object.
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Author(s) / Creator(s)Vezzoli, Michela
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Author(s) / Creator(s)Zogmaister, Cristina
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PsychArchives acquisition timestamp2018-06-06T12:47:35Z
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Made available on2018-06-06T12:47:35Z
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Date of first publication2018-06-08
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Abstract / DescriptionConference Talken
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Publication statusunknown
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Review statusunknown
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CitationVezzoli, 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.834en
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Persistent Identifierhttps://hdl.handle.net/20.500.12034/632
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Persistent Identifierhttps://doi.org/10.23668/psycharchives.834
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Language of contenteng
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PublisherZPID (Leibniz Institute for Psychology Information)en_US
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Is part ofBig Data in Psychology 2018, Trier, Germany
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Dewey Decimal Classification number(s)150
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TitleShould They Stay or Should They Go? The Prediction of Customer Churn in Energy Sectoren_US
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DRO typeconferenceObject
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Visible tag(s)ZPID Conferences and Workshops