OLAP technology and machine learning as the tools for validation of the numerical models of convective clouds-Reference-Cited by-同舟云学术

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OLAP technology and machine learning as the tools for validation of the numerical models of convective clouds

Published:2019 Issue:1/2 Volume:14 Page:254
ISSN:1743-8187
Container-title:International Journal of Business Intelligence and Data Mining
language:en
Short-container-title:IJBIDM

Author:

Stankova Elena N.,Balakshiy Andrey V.,Petrov Dmitry A.,Korkhov Vladimir V.,Shorov Andrey V.

Publisher

Inderscience Publishers

Subject

Information Systems and Management,Statistics, Probability and Uncertainty,Management Information Systems

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Effective and Efficient Big OLAP Data Cube Compression in Mobile Cloud Environments: The IQTS Algorithm;2023 IEEE International Conference on Big Data (BigData);2023-12-15

2. On the Possibility of Using Neural Networks for the Specific Problems of Meteorological Forecasting;Lecture Notes in Control and Information Sciences - Proceedings;2022

3. On the Possibility of Using Neural Networks for the Thunderstorm Forecasting;Computational Science and Its Applications – ICCSA 2021;2021

4. An Analytical Computing Infrastructure for Monitoring Dynamic Networks Based on Knowledge Graphs;Computational Science and Its Applications – ICCSA 2020;2020

5. Using Boosted k-Nearest Neighbour Algorithm for Numerical Forecasting of Dangerous Convective Phenomena;Computational Science and Its Applications – ICCSA 2019;2019

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