Zahra: Bulletin Big data, Data Science and Artificial Intelligence

The journal examines the current and future challenges facing big data, data science, and artificial intelligence, including but not limited to: data capture and storage; search, sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine learning algorithms for big data; cloud computing platforms; distributed file systems and databases; and scalable storage. Academic academics and practitioners will find the ZAHRA: Bulletin Big Data, Data Science, and Artificial Intelligence to be a seminal source of cutting-edge content.

Journal title: ZAHRA: Bulletin Big Data, Data Science, and Artificial Intelligence
Initials: Zahra. Bul. Big. Ds. Ai
Frequency: 2 issues per year (Juni and December)
DOI: being processed
Online ISSN: 2830-7984
Editor-in-chief: Widodo Saputra, M.Kom
Publisher: Asosiasi Peneliti Data Science Indonesia
Citation Analysis: Google Scholar

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