The Journal of Applied Data Analysis and Modern Stochastic Modelling (JADAMSM) publishes articles that make a major contribution to the development of applied data analysis and modern stochastic models. In articles devoted to the analysis of big data, stochastic modeling tools play an important role.
Publications that present the results of research on applied data analysis and which present effective solutions to business problems as the implementation of theoretical and conceptual foundations and new algorithms are mainly considered. The stages of processing, analysis, modeling, and interpretation of data of an arbitrary type on the way to obtaining valuable information for solving a specific problem are essential.
Another direction of publications will be articles on stochastic models and methods for analyzing applied data and their various generalizations. Publications on mathematical analysis, stochastic differential and integro-differential equations of integer and fractional orders of derivatives, and probability theory are also considered important. JADAMSM is a peer-reviewed international journal.
Core Scope & Topics
- Applied Data Analysis & Processing Pipelines
- Stochastic Differential & Integro-Differential Equations
- Fractional and Integer Order Derivative Modeling
- Mathematical Analysis & Probability Theory
- Big Data Analytics & Algorithmic Solutions for Business Problems
