International Conference on Big Data, Machine Learning, and Applications (BigDML 2021) focuses on both theory and applications in the broad areas of Big Data and Machine Learning. This conference aims to bring together the academia, researchers, developers and practitioners from scientific organizations and industry to share and disseminate recent research findings in the fields of Big Data, Machine Learning and its applications. BigDML is an outstanding platform to discuss the key findings, exchanging novel ideas, listening to the world class leaders and sharing experiences with peer groups. The conference will provide the opportunities of collaboration with national and international organization of repute to the research community. BigDML expects a large number of participants and submissions from worldwide.



All the accepted and presented papers will proposed to be published in Communications in Computer and Information Science (CCIS) - Springer-a satellite LNCS Proceedings Series. The papers will be indexed in ISI Conference Proceedings Citation Index - Science (CPCI-S), included in ISI Web of Science, DBLP, Google Scholar, EI-Compendex, Mathematical Reviews, SCImago, Scopus.