Abstract
Within Case-Based Reasoning (CBR), terms concerning quality of a case base are mentioned in publications, but partially without clarifications of criteria. When developing a CBR system from scratch, an index for case base quality supports an assessment of the actual cases. In this approach, both theory and an application are demonstrated. An index was defined and subsequent applied within a current CBR project, which is under development. In addition, various approaches concerning case base quality are demonstrated. Big data occurs within a combination of high velocity, great volume and variety of incoming data. Defining an index to measure the case base quality copes with that.
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Hönigl, J., Küng, J. (2014). A Data Quality Index with Respect to Case Bases within Case-Based Reasoning. In: Nguyen, N.T., Attachoo, B., Trawiński, B., Somboonviwat, K. (eds) Intelligent Information and Database Systems. ACIIDS 2014. Lecture Notes in Computer Science(), vol 8397. Springer, Cham. https://doi.org/10.1007/978-3-319-05476-6_44
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DOI: https://doi.org/10.1007/978-3-319-05476-6_44
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