Bulletin of Computer and Data Sciences

The Bulletin of Computer and Data Sciences (issn-3072-2926) is dedicated to providing scholars, researchers, and practitioners a premier platform to advance the fields of computer and data sciences through the dissemination of original research, insightful articles, comprehensive reviews, and case studies. Our unwavering commitment to an open-access model ensures rapid, affordable, and high-quality publishing, making vital research accessible to a global audience.

The Bulletin of Computer and Data Sciences is a peer-reviewed, open-access journal that showcases rigorous research in computing, data analytics, and their interdisciplinary applications. Committed to accelerating the pace of scientific communication, the journal facilitates the rapid sharing of new methodologies and insights. Its open-access policy ensures that these advancements are freely available, promoting inclusivity and international cooperation within the scientific community.

Recent Publications

Differentially Private Universal Coresets for \((\alpha,\beta)\)-Fair \(k\)-Median and \(k\)-Means Clustering

Iftikhar Ahmad1, Wang Zu2
1University of Agriculture Faisalabad (UAF), Pakistan
2Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China

Modular QBF Compilations for Implication, Abduction, and Repair in Team Semantics

Fei Yu1
1College of Information and Intelligent, Hunan Agricultural University, Changsha, China, 410128

Cost-Sensitive Sparse Random Machines for Imbalanced High-Dimensional Data

Fei Yu1, Liu Wenbing1
1College of Information and Intelligent, Hunan Agricultural University, Changsha, China, 410128

News & Announcements

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Author Guidelines

Helping authors turn robust computer and data science into trusted, citable research.

Reviewer Guidelines

Review with confidence: evaluate validity, strengthen science, support the community.

Publication Ethics

Strong science, clean ethics: the foundation of every BCDS article.

Open Access Policy

Free to read, free to publish—science without barriers.

Meet Our Editorial Members

Prof. Sayan Mukherjee (Late)
Founder and Editor-in-Chief (2020-2025)
Duke University
Statistical Science, Mathematics, and Biostatistics & Bioinformatics
Prof. Sayan Mukherjee (Late)
Founder and Editor-in-Chief (2020-2025)
Duke University
Statistical Science, Mathematics, and Biostatistics & Bioinformatics
José Neuman de Souza
Federal University of Ceará
Computer Science
Galvez Sanchez
Mines ParisTech – PSL University, Centre de Recherche en Informatique
Computer Science

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