About the Journal
Kertas of Mathematical and Data Science (KMDS) is an academic journal dedicated to publishing high-quality, peer-reviewed research across the fields of mathematics, statistics, and data science. It adopts a single-blind peer review process and follows a continuous publication schedule to accelerate the dissemination of knowledge and innovation.
Key Journal Information:
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Journal Title: Kertas of Mathematical and Data Science (KMDS)
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Abbreviation: KMDS
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ISSN (Online): [To be assigned]
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Publication Frequency: Open (Continuous Publication)
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Language: English
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Access Policy: Gold Open Access
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Peer Review Model: Single-blind review
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Publisher: [Name of Institution/Publishing Body]
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Ethical Guidelines: Follows COPE, ICMJE, and open-access best practices
KMDS seeks to promote rigorous, impactful research that advances theoretical development and practical applications across mathematical modeling, statistical analysis, and data-driven methodologies. It provides a platform for global scholars and practitioners to share new findings, tools, and frameworks that contribute to the evolving landscape of mathematical and data sciences.