Vission

The Journal of BigDataStream Mining is committed to fostering interdisciplinary collaboration and disseminating cutting-edge research in big data stream mining. Our Vision is to be the foremost platform for groundbreaking research and innovation in the field of Big Data Stream Mining, driving advancements that revolutionize data analysis and decision-making processes globally.

Mission

We strive to provide a dynamic platform for scholars, researchers, and practitioners to publish high-quality papers, explore emerging trends, and push the boundaries of knowledge in this rapidly evolving field. Through rigorous peer review and ethical publishing practices, we aim to facilitate the exchange of ideas and drive transformative impacts in academia, industry, and society.

Features

• Open Access and Accessibility

• Comprehensive Coverage

• Rapid and Fast Publication

• Interdisciplinary Focus

• Rigorous Peer Review

BDSM is Indexed in

• Google Scholar

• Directory of Open Access Journals (DOAJ)

• CiteSeerX

• Index Copernicus

• WorldWideScience