Abstract
In this book we discuss two major techniques for knowledge processing or reasoning with knowledge. In the previous chapter we dealt with the first one, rule-based reasoning (which is the basis of expert systems). In this chapter we discuss the second technique, case-based reasoning. The idea underlying case-based reasoning is that, when solving a new problem, a person remembers a previous, similar problem situation and reuses information and knowledge from that prior problem to solve the current one. Case-based reasoning systems are computer programs that follow this principle and consist of a “case base” of earlier cases and mechanisms for storing, retrieving, adapting, and learning from cases.
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Notes
APACHE stands for Acute Physiology, Age, and Chronic Health Evaluation.
Figure 6.4 gives the squares of these distances.
RMS = root mean square.
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© 2000 Springer Science+Business Media Dordrecht
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Wierenga, B., van Bruggen, G. (2000). Knowledge-Driven Marketing Management Support Systems II: Case-Based Reasoning, Neural Networks, and Creativity Support Systems. In: Marketing Management Support Systems. International Series in Quantitative Marketing, vol 10. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4595-8_6
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DOI: https://doi.org/10.1007/978-1-4615-4595-8_6
Publisher Name: Springer, Boston, MA
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