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THE ISSUE OF MISSING VALUES, THEIR PRESENCE AND MANAGEMENT: A RELEVANT DEMONSTRATION OF DATA ANALYSIS IN MARKETING USING CaRBS

In: Advances In Doctoral Research In Management

Author

Listed:
  • Malcolm J. Beynon

    (Cardiff Business School, Cardiff University, Aberconway Building, Colum Drive, Cardiff, CF10 3EU, Wales, UK)

Abstract

Missing values are an often-alleged incumbency to the effectiveness of successful data analysis. Their presence able to be explained or not may be the issue, the very least acknowledged. This study discusses the extant issues of the presence of the missing values in data analysis, with particular attention to their management, including imputation. Following this discussion, the nascent Classification and Ranking Belief Simplex (CaRBS) system for data analysis (object classification) is presented which has the distinction of not requiring the a priori consideration (management) of any missing values present. Moreover, they are treated as ignorant values and retained in the analysis, a facet of CaRBS being associated with the notion of uncertain reasoning. A problem on the classification of standard and economy food products is considered, with knowledge on their inherent nutrient levels used in their discernment. The visualisation of the intermediate and final results offered by the CaRBS system allows a clear demonstration of the effects of the presence of missing values, within an object classification context.

Suggested Citation

  • Malcolm J. Beynon, 2006. "THE ISSUE OF MISSING VALUES, THEIR PRESENCE AND MANAGEMENT: A RELEVANT DEMONSTRATION OF DATA ANALYSIS IN MARKETING USING CaRBS," World Scientific Book Chapters, in: Luiz Moutinho & Graeme Hutcheson & Paulo Rita (ed.), Advances In Doctoral Research In Management, chapter 12, pages 245-268, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789812707246_0012
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