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.
This work was supported by RFBR (projects №18-01-00459, №17-07-00553, №18-51-00007, №18-29-03088)
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Eremeev, A., Varshavskiy, P., Alekhin, R. (2019). Improving the Efficiency of Solution Search Systems Based on Precedents. In: Abraham, A., Kovalev, S., Tarassov, V., Snasel, V., Sukhanov, A. (eds) Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18). IITI'18 2018. Advances in Intelligent Systems and Computing, vol 874. Springer, Cham. https://doi.org/10.1007/978-3-030-01818-4_31
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DOI: https://doi.org/10.1007/978-3-030-01818-4_31
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