A Hybrid Two-Level Support Vector Machine-Based Method for Churn Analysis

Ferdi Sarac, Huseyin Seker, Marcin Lisowski, Alan Timothy

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Citations (SciVal)
    Original languageEnglish
    Title of host publicationICCBDC 2021 - 2021 5th International Conference on Cloud and Big Data Computing
    PublisherAssociation for Computing Machinery
    Pages77-81
    Number of pages5
    ISBN (Electronic)9781450390408
    DOIs
    Publication statusPublished (VoR) - 13 Aug 2021
    Event5th International Conference on Cloud and Big Data Computing, ICCBDC 2021 - Virtual, Online, United Kingdom
    Duration: 13 Aug 202115 Aug 2021

    Publication series

    NameACM International Conference Proceeding Series

    Conference

    Conference5th International Conference on Cloud and Big Data Computing, ICCBDC 2021
    Country/TerritoryUnited Kingdom
    CityVirtual, Online
    Period13/08/2115/08/21

    Keywords

    • Churn Analysis
    • Classification
    • Customer Retention
    • Customer Willingness to Pay
    • Feature Selection
    • IBM Telecom Data Set
    • Multi Clustering Feature Selection
    • Prediction
    • Support Vector Machine
    • Support Vector Regression
    • Unsupervised Feature Selection

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