A non-sequential representation of sequential data for churn prediction

Mark Eastwood, B. Gabrys

    Research output: Chapter in Book/Report/Conference proceedingChapter

    5 Citations (Scopus)
    Original languageEnglish
    Title of host publicationKnowledge-Based and Intelligent Information and Engineering Systems
    EditorsJ.D. Velásquez, S.A. Ríos, R.J. Howlett, L.C. Jain
    Place of PublicationBerlin
    PublisherSpringer
    Pages209-218
    ISBN (Print)9783642045943, 0302-9743, 9783642045950
    DOIs
    Publication statusPublished - 2009

    Bibliographical note

    The full text is not available from the repository. Please note Mark Eastwood was working at Bournemouth University at the time of publication. This book is volume 5711 in the series Lecture Notes in Computer Science.

    Keywords

    • sequential data
    • churn prediction
    • customer retention
    • non-sequential dataset

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