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Knowledge-Driven Marketing Management Support Systems II: Case-Based Reasoning, Neural Networks, and Creativity Support Systems

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Part of the book series: International Series in Quantitative Marketing ((ISQM,volume 10))

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

  1. APACHE stands for Acute Physiology, Age, and Chronic Health Evaluation.

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  2. Figure 6.4 gives the squares of these distances.

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  3. 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

  • Print ISBN: 978-1-4613-7076-5

  • Online ISBN: 978-1-4615-4595-8

  • eBook Packages: Springer Book Archive

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