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    Trustworthiness in Social Big Data Incorporating Semantic Analysis, Machine Learning and Distributed Data Processing

    Abu Salih B 2018.pdf (5.442Mb)
    Access Status
    Open access
    Authors
    Abu Salih, Bilal Ahmad Abdal Rahman
    Date
    2018
    Supervisor
    Dr Vidyasagar Potdar
    Type
    Thesis
    Award
    PhD
    
    Metadata
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    Faculty
    Business and Law
    School
    School of Information Systems
    URI
    http://hdl.handle.net/20.500.11937/70285
    Collection
    • Curtin Theses
    Abstract

    This thesis presents several state-of-the-art approaches constructed for the purpose of (i) studying the trustworthiness of users in Online Social Network platforms, (ii) deriving concealed knowledge from their textual content, and (iii) classifying and predicting the domain knowledge of users and their content. The developed approaches are refined through proof-of-concept experiments, several benchmark comparisons, and appropriate and rigorous evaluation metrics to verify and validate their effectiveness and efficiency, and hence, those of the applied frameworks.

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