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    Ontology based data warehousing for mining of heterogeneous and multidimensional data sources

    227005_Nimmagadda 2015.pdf (22.63Mb)
    Access Status
    Open access
    Authors
    Nimmagadda, Shastri Lakshman
    Date
    2015
    Supervisor
    Prof Heinz Dreher
    Dr Douglas Atkinson
    Dr Ananda Jeeva
    Type
    Thesis
    Award
    PhD
    
    Metadata
    Show full item record
    School
    School of Information Systems, Curtin Business School
    URI
    http://hdl.handle.net/20.500.11937/2322
    Collection
    • Curtin Theses
    Abstract

    Heterogeneous and multidimensional big-data sources are virtually prevalent in all business environments. System and data analysts are unable to fast-track and access big-data sources. A robust and versatile data warehousing system is developed, integrating domain ontologies from multidimensional data sources. For example, petroleum digital ecosystems and digital oil field solutions, derived from big-data petroleum (information) systems, are in increasing demand in multibillion dollar resource businesses worldwide. This work is recognized by Industrial Electronic Society of IEEE and appeared in more than 50 international conference proceedings and journals.

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