- Aim and Scope
The Journal of Applied Data Analysis and Modern Stochastic Modelling (ADA&MSM) 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 plays 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 an peer reviewed international journal.
Submission: Authors are requested to submit their papers through our Online Manuscript Review System CLICK HERE to SUBMIT
Indexing and Abstracting: Google Scholar, Scopus, Zenodo, OpenAIRE, Digital Object Identifier, Index Copernicus, Academia
Inception Year: 2024
Primary Subject Domain: Mathematics
- Core Technical Focus: Mathematical analysis, probability theory, stochastic differential equations, fractional and integer order derivatives, and advanced integro-differential modeling.
License(s) permitted by the journal: All articles are published under a Creative Commons Attribution License (CC BY 4.0). This license enables users to share, adapt, and build upon the material for any purpose, even commercially, as long as proper attribution is given to the author(s). More information about the CC BY license can be found at the Creative Commons website.
Language of Publication : English
Open Access Statement: The Journal of Applied Data Analysis and Modern Stochastic Modelling is an open access journal Click Here to Read More..
Release Schedule: Semi-annually (Two issues per calendar year)
Access Policy: JADAMSM is a fully open-access publication. All content is made immediately and permanently available online to global readers without subscription barriers.
Copyright & Permissions: Articles are distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0). This framework grants users the freedom to share, adapt, and build upon the published work for any objective—including commercial applications—provided the original authors receive appropriate attribution.
Publication Medium: OnlineArtificial Intelligence (AI) Policy: The Journal of Applied Data Analysis and Modern Stochastic Modelling embraces Generative AI (GenAI) tools as supportive aids to enhance research quality and efficiency in data analysis, stochastic modeling, and related fields, while upholding the highest standards of academic integrity and originality. Click here to read more...
Website: www.jadamsm.com
Focus of the journal: mathematical analysis, stochastic differential and integro-differential equations of integer and fractional orders of derivatives, and probability theory
Plagiarism: All the articles will be check through Turnitin Software before the publication of the journal.
Official Abbreviation: Jr. Appl. Data Anal. Mod. Stoch. Model.
Sample Article : LATEX FILE PDF FILE
Review Process: This journal uses double-blind review, which means that both the reviewer and author identities are concealed from the reviewers, and vice versa, throughout the review process. The articles is submitted to minimum 3 reviewers specialize on the topic for their reviews. Click Here to Read More
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