About Data Mining

Data Mining is a premier monthly, peer-reviewed, open-access journal dedicated to advancing the field of data mining and knowledge discovery. Since our inaugural issue in July 2025, we have been committed to publishing innovative research and practical applications that drive the evolution of data science across various industries and domains.

Our Mission

We strive to be the leading platform for disseminating cutting-edge research in data mining and knowledge discovery. Our mission is to foster collaboration among researchers, practitioners, and technology developers worldwide, facilitating the exchange of ideas that advance the understanding and application of data mining techniques to solve complex real-world problems.

Scope and Coverage

Data Mining publishes original research, review articles, case studies, and technical papers in the following areas:

Data mining techniques and algorithms

Knowledge discovery processes

Big data analytics

Machine learning applications

Data visualization and interpretation

Data preprocessing and transformation

Applications in healthcare, finance, and social sciences

Ethical considerations in data mining

Our Commitment to Excellence

Rigorous Peer Review: All submissions undergo double-blind peer review by qualified experts in the field, ensuring the highest standards of academic integrity and quality

Open Access: We believe in the free dissemination of knowledge. All articles are published under Creative Commons Attribution License (CC BY 4.0), making research freely accessible worldwide

Global Reach: We welcome contributions from international scholars and practitioners, promoting diverse perspectives and cross-cultural understanding in data science

Rapid Publication: With a streamlined review process (4-6 weeks), we ensure timely publication of important research findings

Indexing and Recognition

Data Mining is actively pursuing inclusion in major academic databases including ERIC, Scopus, Web of Science, and Google Scholar to maximize the visibility and impact of published research.

Target Audience

Our journal serves a diverse community of:

Data scientists and analysts
Researchers in data mining and knowledge discovery
Industry professionals and practitioners
Academics and graduate students in related fields
Policymakers and stakeholders in technology and data ethics
Software developers and engineers
Business intelligence professionals
Healthcare and financial analysts

Join Our Community

We invite you to be part of our growing community of data mining scholars and practitioners. Whether you're an author, reviewer, or reader, your participation helps advance the field of data science. Visit our Submission Guidelines to learn how to contribute your research.