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Infobright for Analyzing Social Sciences Data

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Database Theory and Application (DTA 2009)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 64))

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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.

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Author information

Authors and Affiliations

  1. Department of Mathematics and Computer Science, Laurentian University, Sudbury, Ontario, Canada, P3E 2C6

    Julia Ann Johnson

  2. Department of Psychology, Grant MacEwan University, Edmonton, Alberta, Canada, T5J 4S2

    Genevieve Marie Johnson

Authors
  1. Julia Ann Johnson
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  2. Genevieve Marie Johnson
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Editor information

Editors and Affiliations

  1. University of Warsaw and Infobright Inc., Poland

    Dominik Ślęzak

  2. Hannam University, 306-791, Daejeon, South Korea

    Tai-hoon Kim

  3. Utrecht University, The Netherlands

    Yanchun Zhang

  4. Hosei University, Tokyo, Japan

    Jianhua Ma

  5. ETRI, South Korea

    Kyo-il Chung

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© 2009 Springer-Verlag Berlin Heidelberg

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Johnson, J.A., Johnson, G.M. (2009). Infobright for Analyzing Social Sciences Data. In: Ślęzak, D., Kim, Th., Zhang, Y., Ma, J., Chung, Ki. (eds) Database Theory and Application. DTA 2009. Communications in Computer and Information Science, vol 64. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10583-8_12

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  • DOI: https://doi.org/10.1007/978-3-642-10583-8_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10582-1

  • Online ISBN: 978-3-642-10583-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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