Big Data Analytics

This volume presents key findings from the 8th International Conference on Big Data Analytics, highlighting significant research developments and applications in the field.

The proceedings of the 8th International Conference on Big Data Analytics, BDA 2021, are compiled in this volume, reflecting the latest advancements in the field. Held virtually in December 2021 due to the COVID-19 pandemic, the conference showcased a selection of 19 papers, comprising 16 full papers and 3 short papers. These contributions were meticulously reviewed and chosen from a total of 41 submissions, ensuring a high standard of research and innovation.

The papers included in this collection cover a diverse array of topics within the realm of big data. The contributions are organized into thematic sections that highlight significant areas of application, including medical and health applications, machine and deep learning, IoTs, sensors, and networks, as well as foundational concepts and techniques in pattern mining and data analytics. This structured approach allows readers to navigate the research landscape effectively.

Big Data Analytics serves as a valuable resource for researchers, practitioners, and students interested in understanding the current trends and methodologies in big data. The insights presented in this book not only shed light on theoretical frameworks but also emphasize practical applications that can drive innovation across various sectors. By engaging with the findings in this volume, readers can gain a deeper appreciation of the transformative potential of big data technologies.