About the Journal
About the Journal
Advances in Data Analytics and Machine Learning Research is a peer-reviewed, open-access journal that publishes cutting-edge research and applications in data analytics, machine learning, and artificial intelligence. The journal provides an interdisciplinary platform for academics, practitioners, and industry professionals to share advancements in theories, methodologies, and practical implementations across diverse fields such as computer science, statistics, engineering, business analytics, and healthcare.
Focus and Scope
The journal welcomes high-quality original research articles, review papers, and case studies that explore topics such as:
- Advanced machine learning algorithms
- Data visualization and interpretation
- Big data analytics and infrastructure
- Artificial intelligence applications
- Ethical considerations in AI and data science
- Interdisciplinary applications of data analytics and machine learning
Open Access Policy
This journal adheres to an open access policy, ensuring that all published articles are freely accessible to readers worldwide. Authors retain copyright to their work under the Creative Commons Attribution 4.0 International License, promoting the dissemination and sharing of knowledge.
Frequency of Publication
The journal is published twice a year, with issues released in June and December.
Publisher
Advances in Data Analytics and Machine Learning Research is published by JMCFI Research Development and Publication Office, an institution of higher learning in Davao City, Philippines, fostering the dissemination of groundbreaking research in data science and artificial intelligence.
History of the Journal
Launched in January 2025, the journal was established to address the growing need for a dedicated publication focusing on advancements in data analytics and machine learning. Its mission is to serve as a beacon for interdisciplinary collaboration and innovation.
Privacy Statement
The journal complies with the Data Privacy Act of 2012 and other pertinent laws of the Philippines, ensuring the protection and ethical use of personal information. Data collected during registration and submission will be used exclusively for journal-related purposes and will not be shared with third parties without consent.
Statement on Ethical Use of Generative AI
The journal recognizes the importance of ethical practices in using generative AI. Authors are encouraged to disclose any use of AI tools in generating content, ensuring that such tools are used to enhance, not replace, human intellectual contributions. Generative AI tools must comply with transparency, fairness, and originality standards. Submissions relying heavily on AI without proper disclosure may be rejected.
Inclusion in LOCKSS and CLOCKSS
The journal is committed to digital preservation and participates in LOCKSS and CLOCKSS archival systems to ensure the longevity and availability of its published content.
Ethical Standards
Authors, reviewers, and editors are expected to adhere to the highest ethical standards in the preparation, review, and publication of manuscripts. Plagiarism, falsification of data, and unethical research practices are strictly prohibited.
Contact Us
For inquiries, please contact us at analytics.journal@jmc.edu.ph or visit our website for more information about the journal.
