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Improving the Efficiency of Solution Search Systems Based on Precedents

  • Alexander Eremeev
  • Pavel Varshavskiy
  • Roman Alekhin
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 874)

Abstract

In this paper, actual issues of improving the efficiency of solution search systems based on precedents – Case-Based Reasoning Systems (CBR systems) are considered. To improve the efficiency of CBR systems and accelerate the search for solutions, it is proposed to use a modified CBR cycle, which allows to create a base of successful and unsuccessful precedents and reducing the number of precedents in the database of successful and unsuccessful precedents through the use of classification and clustering methods.

Keywords

Precedent Case-Based Reasoning Intelligent decision support system Classification Clustering 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Alexander Eremeev
    • 1
  • Pavel Varshavskiy
    • 1
  • Roman Alekhin
    • 1
  1. 1.Applied Mathematics Department of the National Research University “MPEI”MoscowRussia

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