Power to the People! Meta-algorithmic modelling in applied data science

M. Spruit, R. Jagesar

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

    Abstract

    This position paper first defines the research field of applied data science at the intersection of domain expertise, data mining, and engineering capabilities, with particular attention to analytical applications. We then propose a meta-algorithmic approach for applied data science with societal impact based on activity recipes. Our people-centred motto from an applied data science perspective translates to design science research which focuses on empowering domain experts to sensibly apply data mining techniques through prototypical software implementations supported by meta-algorithmic recipes.
    Original languageEnglish
    Title of host publicationProceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
    EditorsA. Fred, et al.
    PublisherSciTePress
    Pages400–406
    Volume1
    ISBN (Print)978-989-758-203-5
    DOIs
    Publication statusPublished - 2016

    Keywords

    • Applied Data Science
    • Meta-algorithmic Modelling
    • Machine Learning
    • Big Data

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