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Induction of Meta-Knowledge About Knowledge Discovery
December 1993 (vol. 5 no. 6)
pp. 990-992

A study is reported of the use of ripple-down rule induction to develop a metamodel of ten years of clinical data captured as part of the development of an expert system for thyroid diagnosis. It is shown how the suitability for inductive knowledge discovery from such real-world data can be characterized in terms of its stationarity, and how the best error rates achievable and the amount of data necessary to achieve them can be estimated.

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Index Terms:
meta-knowledge induction; knowledge discovery; ripple-down rule induction; metamodel; clinical data; expert system; thyroid diagnosis; inductive knowledge discovery; real-world data; error rates; Garvan thyroid database; induct; machine learning; medical diagnosis; meta-modeling; rules with exceptions; inference mechanisms; learning (artificial intelligence); medical administrative data processing; medical diagnostic computing; medical expert systems
Citation:
B.R. Gaines, P. Compton, "Induction of Meta-Knowledge About Knowledge Discovery," IEEE Transactions on Knowledge and Data Engineering, vol. 5, no. 6, pp. 990-992, Dec. 1993, doi:10.1109/69.250084
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