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dc.contributor.authorJohnson, J.
dc.contributor.authorJohnson, Genevieve
dc.identifier.citationJohnson, J. and Johnson, G. 2009. Infobright for analyzing social sciences data, pp. 90-98.

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.

dc.titleInfobright for analyzing social sciences data
dc.typeConference Paper
dcterms.source.titleCommunications in Computer and Information Science
dcterms.source.seriesCommunications in Computer and Information Science
curtin.departmentSchool of Education
curtin.accessStatusFulltext not available

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