An Approach to Identifying and Filling Data Gaps in Machine Learning Procedures
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Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-030-82014-5_11
Reference19 articles.
1. Altham, P.: Introduction to Statistical Modelling in R. University of Cambridge, UK (2012)
2. Babichev, S., Durnyak, B., Zhydetskyy, V., Pikh, I., Senkivskyy, V.: Application of optics density-based clustering algorithm using inductive methods of complex system analysis. In: IEEE 2019 14th International Scientific and Technical Conference on Computer Sciences and Information Technologies, CSIT 2019 - Proceedings, pp. 169–172 (2019). https://doi.org/10.1109/STC-CSIT.2019.8929869
3. Babichev, S., Škvor, J.: Technique of gene expression profiles extraction based on the complex use of clustering and classification methods. Diagnostics 10(8), 584 (2020). https://doi.org/10.3390/diagnostics10080584
4. Bidyuk, P., Gozhyj, A., Kalinina, I., Gozhyj, V.: Analysis of uncertainty types for model building and forecasting dynamic processes. In: Conference on Computer Science and Information Technologies. Advances in Intelligent Systems and Computing II, vol. 689, pp. 66–78. Springer-Verlag (2017). https://doi.org/10.1007/978-3-319-70581-1
5. Bidyuk, P., Gozhyj, A., Kalinina, I., Vysotska, V.: Methods for forecasting nonlinear non-stationary processes in machine learning. In: Data Stream Mining and Processing. DSMP 2020. Communications in Computer and Information Science, vol. 1158, pp. 470–485. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-61656-4_32
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