Journal of Data Science for Applications
A peer-reviewed, open-access journal dedicated to publishing cutting-edge research that bridges the gap between theoretical data science and real-world applications across industries.
Latest Articles
Volume 1, Issue 1, September 2022
1
The Chemical Composition of Cosmetics and Personal Care Products: An Analysis
Author: Yujin Heo
Cosmetics and personal care products are an integral part of everyday life. This article analyzes their chemical makeup and associated health and regulatory implications.
2
Predicting Customer Churn in the Telecom Industry using Deep Learning Techniques
Customer churn is a significant issue in the telecom sector. This study uses deep learning algorithms to improve the prediction of customer attrition, offering new methodologies for retention strategies.
Our latest issue features groundbreaking research from diverse fields, showcasing practical applications of data science methodologies. Each article undergoes rigorous peer review to ensure scientific validity and practical relevance.
Explore Articles by Category
Physical Science & Engineering
Research applying data science to physical sciences, engineering problems, materials science, and industrial applications.
Biomedical & Healthcare
Studies exploring medical diagnostics, patient outcomes, genomics, and healthcare systems optimization.
Computer Science & AI
Cutting-edge research in machine learning, artificial intelligence, and computational methods.
- Business & Economics
- Social Science
- Environmental Science
- Psychology
- Biological Science
- Architecture
- Sports Analytics
- Social Justice
- Dentistry
- Law
- All Articles
Submit Your Research
Submission Guidelines
The Journal of Data Science for Applications welcomes original research papers, review articles, and case studies focusing on real-world applications of data science methodologies. All submissions undergo a thorough peer review process.
We particularly value interdisciplinary research that demonstrates practical impact. Submissions should clearly articulate the real-world problem being addressed, the data science techniques employed, and the measurable outcomes achieved.
Contact: journal@ds-applications.org
1
Initial Submission
Submit your manuscript following our guidelines via email or online form
2
Peer Review
Expert reviewers evaluate methodology, significance, and clarity
3
Revision
Address reviewer feedback and resubmit
4
Publication
Accepted papers appear in the next available issue
Editorial Board
Editorial Leadership
Our editorial board consists of distinguished academic scholars and industry experts across various domains of data science and its applications. Each member brings unique expertise and rigorous standards to our review process.
The interdisciplinary composition of our board ensures that submissions are evaluated not only for their technical merit but also for their practical significance and potential real-world impact.
Board Members
Our editorial team includes experts from leading institutions around the world, specializing in various aspects of data science applications including machine learning, statistical modeling, computational biology, business analytics, and social data science.
Each submission is matched with reviewers who have domain expertise relevant to the specific application area, ensuring informed and constructive feedback for authors.
Contact & Journal Information
ISSN: 2950-8568
The Journal of Data Science for Applications is a registered academic publication with international recognition.
Publication Requests
To order a PDF copy of the journal or specific articles, please contact the editor via email.
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Home
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Submission
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Articles
Browse our complete archive of published research, search by keyword, author, or category. All articles are available in open-access format with downloadable PDFs.
Editorial Board
Learn about our diverse team of editors and reviewers who ensure the quality and integrity of published research across multiple disciplines.
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For Authors & Readers
Author Resources
We provide comprehensive resources to help authors prepare and submit their manuscripts. Our guidelines cover formatting requirements, data availability statements, and citation standards.
First-time authors are encouraged to review our sample papers and submission checklist before finalizing their manuscripts to ensure compliance with journal standards.
Reader Tools
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All articles are available in multiple formats including HTML, PDF, and mobile-optimized versions for convenient reading across devices.
Note: The Journal of Data Science for Applications follows open science principles. Authors are encouraged to share code repositories, datasets (where ethically appropriate), and supplementary materials to enhance research reproducibility.