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Knowledge Discovery Tools: Application in Associations Analysis

In: Knowledge Management Through the Technology Glass

Author

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  • Meliha Handzic

    (The University of New South Wales, Australia)

Abstract

This chapter focuses on tools and technologies for knowledge discovery from data. First, it examines the process, approaches and techniques of knowledge discovery. Then it reports results of an empirical examination into the effectiveness of two knowledge discovery tools (barchart and scatterplot) in the context of a sales forecasting task. The main results of the study indicate that both tools were reasonably suitable for well conveying associations among task variables and offering improvements in prediction accuracy when compared to a naive predictor. In addition, findings show that a scatterplot was significantly more beneficial than a barchart in enhancing forecasters' knowledge and performance of the task. This superiority can be potentially explained in terms of the favorable aspects of Cartesian graphs and the greater concentration required for using the tool.

Suggested Citation

  • Meliha Handzic, 2005. "Knowledge Discovery Tools: Application in Associations Analysis," World Scientific Book Chapters, in: Knowledge Management Through the Technology Glass, chapter 6, pages 89-105, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789812567123_0006
    as

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