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Mining Adaptation Rules from Cases in CBR Systems

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1721))

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References

  1. Friedrich Gebhardt, Angi Voß, Wolfgang Gräther, Barbara Schmidt-Belz, Reasoning with Complex Cases, Kluwer Academic Publishers, 1997

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  2. Ian Watson, Applying Case-Based Reasoning, Techniques for Enterprise Systems, Morgan Kaufmann Publishers, 1997

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  3. Kathleen Hanney, M.T, keane, Learning Adaptation Rules from a Case-Base, In Advances in Case-Based Reasoning, edited by I. smith, B. Faltings, Springer-Verlag Publishers, 1996

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  4. Manuela M. Veloso, PRODIGY/ANALOGY: Analogical Reasoning in General Problem Solving, In Topics on Case-Based Reasoning Pp 33–50, Springer Verlag, 1994

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  5. Michael Richter, The Knowledge Contained in Similarity Measures, Some remarks on the invited talk given at ICCBR’95 in Sesimbra, Portugal, October 25, (1995).

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© 1999 Springer-Verlag Berlin Heidelberg

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Saniepour, S., Far, B.H. (1999). Mining Adaptation Rules from Cases in CBR Systems. In: Arikawa, S., Furukawa, K. (eds) Discovery Science. DS 1999. Lecture Notes in Computer Science(), vol 1721. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46846-3_46

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  • DOI: https://doi.org/10.1007/3-540-46846-3_46

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66713-1

  • Online ISBN: 978-3-540-46846-2

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