Information Management and Big Data: 8th Annual International Conference, SIMBig 2021, Virtual Event, December 1-3, 2021, Proceedings

The 8th International Conference on Information Management and Big Data,SIMBig 2021, held in December 2021, had 25 revised full papers and 2 revised short papers, covering topics such as data mining, deep learning, software engineering, health, NLP, and social media.

Format: Paperback / softback
Length: 414 pages
Publication date: 22 April 2022
Publisher: Springer International Publishing AG

The 8th International Conference on Information Management and Big Data (SIMBig 2021) was a groundbreaking virtual event that took place in December 2021, bringing together experts from around the world to explore the latest trends and advancements in information management and big data. This remarkable conference featured a vibrant collection of 25 revised full papers and 2 revised short papers, meticulously reviewed and selected from a pool of 67 submissions. The diverse range of topics covered in the papers showcased the cutting-edge research and innovative solutions being developed in these fields.

The conference was organized into topical sections, each dedicated to exploring specific areas of interest. The first section, titled "Data Mining and Applications," delved into the latest techniques and methodologies for extracting valuable insights from large datasets. The papers presented in this section covered a wide range of applications, including healthcare, finance, marketing, and social sciences.

The second section, titled "Deep Learning and Applications," focused on the transformative power of deep learning algorithms in various domains, such as image recognition, natural language processing, and autonomous systems. The papers in this section showcased the latest advancements in neural networks and their applications in fields such as medical imaging, speech recognition, and autonomous vehicles.

The third section, titled "Data-Driven Software Engineering," explored the role of data in software development and engineering processes. The papers presented in this section discussed the use of data-driven approaches to improve software quality, efficiency, and reliability. The topics covered included data-driven testing, machine learning-based software development, and big data analytics in software engineering.

The fourth section, titled "Health, NLP, and Social Media," explored the intersection of information management and big data with healthcare, natural language processing, and social media. The papers in this section discussed the use of big data analytics to improve patient care, understand healthcare trends, and analyze social media data for insights into public opinion and behavior.

The fifth section, titled "Image Processing, Machine Learning, and Semantic Web," focused on the latest technologies and methodologies for image processing, machine learning, and semantic web development. The papers in this section covered a wide range of applications, including computer vision, facial recognition, and semantic search.

Overall, SIMBig 2021 was a resounding success, showcasing the immense potential of information management and big data in driving innovation and progress in various industries. The conference provided a platform for researchers, practitioners, and industry leaders to exchange ideas, share expertise, and collaborate on addressing the challenges and opportunities posed by these rapidly evolving fields.

The conference proceedings, published in this book, serve as a valuable resource for researchers, students, and professionals interested in information management and big data. The papers presented in this volume offer insightful perspectives, innovative solutions, and cutting-edge research in these fields.

In conclusion, the 8th International Conference on Information Management and Big Data (SIMBig 2021) was a landmark event that showcased the immense potential of information management and big data in driving innovation and progress in various industries. The conference proceedings, published in this book, serve as a valuable resource for researchers, students, and professionals interested in information management and big data. We look forward to seeing the continued growth and development of these fields in the years to come.
The 8th International Conference on Information Management and Big Data (SIMBig 2021) was a groundbreaking virtual event that took place in December 2021, bringing together experts from around the world to explore the latest trends and advancements in information management and big data. This remarkable conference featured a vibrant collection of 25 revised full papers and 2 revised short papers, meticulously reviewed and selected from a pool of 67 submissions. The diverse range of topics covered in the papers showcased the cutting-edge research and innovative solutions being developed in these fields.

The conference was organized into topical sections, each dedicated to exploring specific areas of interest. The first section, titled "Data Mining and Applications," delved into the latest techniques and methodologies for extracting valuable insights from large datasets. The papers presented in this section covered a wide range of applications, including healthcare, finance, marketing, and social sciences.

The second section, titled "Deep Learning and Applications," focused on the transformative power of deep learning algorithms in various domains, such as image recognition, natural language processing, and autonomous systems. The papers in this section showcased the latest advancements in neural networks and their applications in fields such as medical imaging, speech recognition, and autonomous vehicles.

The third section, titled "Data-Driven Software Engineering," explored the role of data in software development and engineering processes. The papers presented in this section discussed the use of data-driven approaches to improve software quality, efficiency, and reliability. The topics covered included data-driven testing, machine learning-based software development, and big data analytics in software engineering.

The fourth section, titled "Health, NLP, and Social Media," explored the intersection of information management and big data with healthcare, natural language processing, and social media. The papers in this section discussed the use of big data analytics to improve patient care, understand healthcare trends, and analyze social media data for insights into public opinion and behavior.

The fifth section, titled "Image Processing, Machine Learning, and Semantic Web," focused on the latest technologies and methodologies for image processing, machine learning, and semantic web development. The papers in this section covered a wide range of applications, including computer vision, facial recognition, and semantic search.

Overall, SIMBig 2021 was a resounding success, showcasing the immense potential of information management and big data in driving innovation and progress in various industries. The conference provided a platform for researchers, practitioners, and industry leaders to exchange ideas, share expertise, and collaborate on addressing the challenges and opportunities posed by these rapidly evolving fields.

The conference proceedings, published in this book, serve as a valuable resource for researchers, students, and professionals interested in information management and big data. The papers presented in this volume offer insightful perspectives, innovative solutions, and cutting-edge research in these fields.

In conclusion, the 8th International Conference on Information Management and Big Data (SIMBig 2021) was a landmark event that showcased the immense potential of information management and big data in driving innovation and progress in various industries. The conference proceedings, published in this book, serve as a valuable resource for researchers, students, and professionals interested in information management and big data. We look forward to seeing the continued growth and development of these fields in the years to come.

Weight: 664g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031044465
Edition number: 1st ed. 2022