Abstract
This study proposes a simple and inexpensive tool for automating matrix recognition in heterogeneous input/output data from various computational applications. The recognition of matrix data is done at the file system level and is based on the development of recognition rules using data structure sample. Our contribution is as follows: we propose an automated mechanism for recognizing matrices written by different styles in input/output files; this procedure does not require special query and any participation from the end-user; no special skills are required for the end-user. The proposed recognition mechanism is an effective solution for the development of an automated system for plugging in and switching math modules integrated into a system of sequential computations without resorting to third-party developers.
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Acknowledgements
This work was supported by the Russian Foundation for Basic Research [grant number № 17-01-00076].
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Barkovskii, S., Tselykh, L., Tselykh, A. (2019). The Matrix Data Recognition Tool in the Input Files for the Computing Applications in an Expert System. 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 875. Springer, Cham. https://doi.org/10.1007/978-3-030-01821-4_21
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DOI: https://doi.org/10.1007/978-3-030-01821-4_21
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