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    Infobright for analyzing social sciences data

    Access Status
    Fulltext not available
    Authors
    Johnson, J.
    Johnson, Genevieve
    Date
    2009
    Type
    Conference Paper
    
    Metadata
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    Citation
    Johnson, J. and Johnson, G. 2009. Infobright for analyzing social sciences data, pp. 90-98.
    Source Title
    Communications in Computer and Information Science
    DOI
    10.1007/978-3-642-10583-8_12
    ISBN
    9783642105821
    School
    School of Education
    URI
    http://hdl.handle.net/20.500.11937/25260
    Collection
    • Curtin Research Publications
    Abstract

    There are considerable challenges in analyzing, interpreting, and reporting word-based social sciences data. Infobright data warehousing technology was used to analyze a typical data set from the social sciences. Infobright was found to require augmentation for analyzing qualitative data provided as short stories by human subjects. A requirements specification for mining data that are subject to interpretation is proposed and left to the Infobright designers to implement should they so choose. Infobright was chosen as a system for implementing the data set because its rough set based intelligence appears to be extensible with moderate effort to implement the data warehousing requirements of word based data. © 2009 Springer-Verlag Berlin Heidelberg.

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