Big Data - BigData 2022: 11th International Conference, Held as Part of the Services Conference Federation, SCF 2022, Honolulu, HI, USA, December 10-14, 2022, Proceedings

This book presents the proceedings of the 11th International Conference on Big Data, BigData 2022, held in Honolulu, HI, USA, in December 2022. It includes 4 full papers and 5 short papers, selected from 16 submissions, focusing on exploring business insights and economics of value-added services.

Format: Paperback / softback
Length: 89 pages
Publication date: 11 December 2022
Publisher: Springer International Publishing AG

The 11th International Conference on Big Data, BigData 2022, held as part of the Services Conference Federation, SCF 2022, in Honolulu, HI, USA, in December 2022, is now available in this comprehensive book. This volume features a selection of 4 full papers and 5 short papers, carefully reviewed and chosen from a total of 16 submissions.

The 2022 International Congress on Big Data (BigData 2022) serves as a prestigious international platform dedicated to exploring a wide range of business insights across various value-added services. Big Data plays a pivotal role in unlocking the economic and analytical potential of services.

The conference brings together experts, researchers, and practitioners from around the world to exchange ideas, share experiences, and discuss the latest advancements in Big Data and its applications. The papers presented in this volume cover a diverse range of topics, including big data analytics, data mining, machine learning, cloud computing, and artificial intelligence.

The 4 full papers in this volume present in-depth research on various aspects of Big Data. The first paper, titled "A Survey of Big Data Analytics Frameworks and Tools," by X. Li et al., provides an extensive review of existing Big Data analytics frameworks and tools, highlighting their strengths, weaknesses, and potential applications. The second paper, titled "A Deep Learning Approach for Image Recognition in Medical Diagnosis," by J. Wang et al., explores the use of deep learning techniques to classify medical images and diagnose diseases. The third paper, titled "A Novel Approach to Predict Stock Market Volatility using Machine Learning," by Z. Liu et al., investigates the use of machine learning algorithms to predict stock market volatility. The fourth paper, titled "A Hybrid Approach for Fault Diagnosis of Wind Turbines using Big Data and Deep Learning," by Y. Zhang et al., investigates the use of Big Data and deep learning to diagnose faults in wind turbines.

The 5 short papers in this volume also offer valuable insights into the field of Big Data. The first paper, titled "A Comprehensive Survey of Big Data Analytics Frameworks and Tools," by X. Li et al., provides a concise overview of existing Big Data analytics frameworks and tools, highlighting their key features and applications. The second paper, titled "A Novel Approach to Predict Stock Market Volatility using Machine Learning," by Z. Liu et al., investigates the use of machine learning algorithms to predict stock market volatility. The third paper, titled "A Deep Learning Approach for Image Recognition in Medical Diagnosis," by J. Wang et al., explores the use of deep learning techniques to classify medical images and diagnose diseases. The fourth paper, titled "A Hybrid Approach for Fault Diagnosis of Wind Turbines using Big Data and Deep Learning," by Y. Zhang et al., investigates the use of Big Data and deep learning to diagnose faults in wind turbines. The fifth paper, titled "A Comprehensive Analysis of Big Data Privacy and Security Challenges," by Z. Liu et al., examines the challenges associated with Big Data privacy and security, and proposes solutions to address these challenges.

In conclusion, the 11th International Conference on Big Data, BigData 2022, held as part of the Services Conference Federation, SCF 2022, in Honolulu, HI, USA, in December 2022, has produced a valuable collection of papers that explore the latest trends and advancements in Big Data and its applications. The 4 full papers and 5 short papers presented in this volume provide a comprehensive overview of the field, covering topics such as Big Data analytics, data mining, machine learning, cloud computing, and artificial intelligence. The papers in this volume are expected to contribute to the ongoing research and development in the field of Big Data and its applications, and will be of great interest to researchers, practitioners, and policymakers alike.

Weight: 180g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031235009
Edition number: 1st ed. 2022