Multi-User Digital Platform for Data Mining, Decisions’ Roots Design and Decisions’ Root-Based Neural Networks Training

The multi-user digital platform is described, primarily performed for data mining and decision-making support. The main purpose of the suggested digital data mining platform is design of decisions’ roots – graphical tool for decision making support, and training of decisions' root-based neural networks – new type of incompletely connected neural networks. Besides data mining function of the discussed platform, the last one is also a no-code integrated development environment and a database management system.

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Publication Details

Journal
Journal of Digital Science
Published
2024-12-27
DOI
https://doi.org/10.33847/2686-8296.6.2_5
Citations
1
Primary Topic
Time Series Analysis and Forecasting
Type
article
Field-Weighted Citation Impact
0.35

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article

Multi-User Digital Platform for Data Mining, Decisions’ Roots Design and Decisions’ Root-Based Neural Networks Training

Alexander Alekseev
1 citations
Journal of Digital Science
Time Series Analysis and Forecasting
0.35
article

Multi-User Digital Platform for Data Mining, Decisions’ Roots Design and Decisions’ Root-Based Neural Networks Training

Alexander Alekseev
article en
1 citations

Abstract

The multi-user digital platform is described, primarily performed for data mining and decision-making support. The main purpose of the suggested digital data mining platform is design of decisions’ roots – graphical tool for decision making support, and training of decisions' root-based neural networks – new type of incompletely connected neural networks. Besides data mining function of the discussed platform, the last one is also a no-code integrated development environment and a database management system.

Journal of Digital Science
Perm National Research Polytechnic University (RU)
Foundation for Assistance to Small Innovative Enterprises
Openalex Percentile: Top 40%
Time Series Analysis and Forecasting
0.35
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