Big-Data-Analytics in Astronomy, Science, and Engineering: 9th International Conference on Big Data Analytics, BDA 2021, Virtual Event, December 7-9, 2021, Proceedings

This book is the proceedings of the 9th International Conference on Big Data Analytics,BDA 2021, which includes 15 full papers and 1 short paper on various topics such as data science, architectures, healthcare support systems, and business analytics.

Format: Paperback / softback
Length: 279 pages
Publication date: 18 February 2022
Publisher: Springer Nature Switzerland AG

The 9th International Conference on Big Data Analytics, BDA 2021, was a groundbreaking virtual event that took place from December 7 to 9, 2021. This remarkable conference brought together experts from around the world to explore the latest trends, innovations, and challenges in the field of big data analytics.

The proceedings of the conference, compiled in this volume, feature a selection of 15 full papers and 1 short paper. These papers underwent a rigorous review process, with 60 submissions being considered. The selection committee, comprised of esteemed scholars and professionals, carefully evaluated each submission based on its originality, significance, and relevance to the conference theme.

The conference proceedings are organized into five topical sections:

Data Science: Systems: This section explores the theoretical foundations and practical applications of data science systems. It covers topics such as data management, machine learning, and artificial intelligence, emphasizing their role in analyzing and extracting valuable insights from large datasets.

Data Science: Architectures: This section focuses on the architectural design and implementation of data science systems. It discusses the challenges and opportunities associated with distributed computing, cloud computing, and high-performance computing, as well as the development of scalable and efficient data processing platforms.

Big Data Analytics in Healthcare Support Systems: This section explores the use of big data analytics in healthcare support systems. It discusses the challenges and opportunities presented by healthcare data, such as patient records, medical imaging, and genetic information, and explores how these data can be leveraged to improve patient care, medical research, and healthcare policy.

Information Interchange of Web Data Resources: This section focuses on the exchange and integration of web data resources. It discusses the challenges and opportunities associated with data sharing, data integration, and data mining, as well as the development of effective data exchange protocols and standards.

Business Analytics: This section explores the use of big data analytics in business intelligence and decision-making. It discusses the challenges and opportunities presented by business data, such as customer behavior, market trends, and supply chain management, and explores how these data can be leveraged to improve business performance, customer satisfaction, and competitive advantage.

The 9th International Conference on Big Data Analytics, BDA 2021, was a truly transformative event that showcased the immense potential of big data analytics in addressing complex societal challenges. The conference proceedings provide a valuable resource for researchers, practitioners, and policymakers interested in advancing the field of big data analytics.

The conference proceedings are a testament to the dedication and expertise of the participants and organizers. The selection committee's efforts in curating a diverse and high-quality collection of papers reflect the conference's commitment to advancing the state-of-the-art in big data analytics.

In conclusion, the 9th International Conference on Big Data Analytics, BDA 2021, was a landmark event that brought together experts from diverse fields to explore the latest trends, innovations, and challenges in big data analytics. The conference proceedings, compiled in this volume, provide a valuable resource for researchers, practitioners, and policymakers interested in advancing the field of big data analytics.

The 9th International Conference on Big Data Analytics, BDA 2021, was a groundbreaking virtual event that took place

place from December 7 to 9, 2021. This remarkable conference brought together experts from around the world to explore the latest trends, innovations, and challenges in the field of big data analytics.

The proceedings of the conference, compiled in this volume, feature a selection of 15 full papers and 1 short paper.

These papers underwent a rigorous review process, with 60 submissions being considered.

The selection committee, comprised of esteemed scholars and professionals, carefully evaluated each submission based on its originality, significance, and relevance to the conference theme.

The conference proceedings are organized into five topical sections:

Data Science: Systems:

This section explores the theoretical foundations and practical applications of data science systems.

It covers topics such as data management, machine learning, and artificial intelligence, emphasizing their role in analyzing and extracting valuable insights from large datasets.

Data Science: Architectures:

This section focuses on the architectural design and implementation of data science systems.

It discusses the challenges and opportunities associated with distributed computing, cloud computing, and high-performance computing, as well as the development of scalable and efficient data processing platforms.

Big Data Analytics in Healthcare Support Systems:

This section explores the use of big data analytics in healthcare support systems.

It discusses the challenges and opportunities presented by healthcare data, such as patient records, medical imaging, and genetic information, and explores how these data can be leveraged to improve patient care, medical research, and healthcare policy.

Information Interchange of Web Data Resources:

This section focuses on the exchange and integration of web data resources.

It discusses the challenges and opportunities associated with data sharing, data integration, and data mining, as well as the development of effective data exchange protocols and standards.

Business Analytics:

This section explores the use of big data analytics in business intelligence and decision-making.

It discusses the challenges and opportunities presented by business data, such as customer behavior, market trends, and supply chain management, and explores how these data can be leveraged to improve business performance, customer satisfaction, and competitive advantage.

The 9th International Conference on Big Data Analytics, BDA 2021, was a truly transformative event that showcased the immense potential of big data analytics in addressing complex societal challenges.

The conference proceedings provide a valuable resource for researchers, practitioners, and policymakers interested in advancing the field of big data analytics.

The conference proceedings are a testament to the dedication and expertise of the participants and organizers.

The selection committee's efforts in curating a diverse and high-quality collection of papers reflect the conference's commitment to advancing the state-of-the-art in big data analytics.

In conclusion, the 9th International Conference on Big Data Analytics, BDA 2021, was a landmark event that brought together experts from diverse fields to explore the latest trends, innovations, and challenges in big data analytics.

Weight: 456g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030965990
Edition number: 1st ed. 2022