Transactions on Computational Collective Intelligence XXXVII

This 37th issue of the journal focuses on computer-based methods of computational collective intelligence (CCI) and their applications in various fields, including performance optimization in IoT, big data, reliability, privacy, security, service selection, QoS, and machine learning. It contains 9 selected papers that present new findings, innovative methodologies, and discuss challenges in the field.

Format: Paperback / softback
Length: 171 pages
Publication date: 20 January 2023
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

These transactions publish cutting-edge research on computer-based methods of computational collective intelligence (CCI) and their diverse applications across a wide spectrum of fields. From optimizing performance in the Internet of Things (IoT) and big data to enhancing reliability, privacy, security, service selection, quality of service (QoS), and machine learning, CCI has emerged as a powerful tool for addressing complex challenges.

In this 37th issue, we are proud to present a selection of 9 outstanding papers that showcase new findings, innovative methodologies, and insightful discussions on the field of collective intelligence from big data and networking paradigms. These papers address critical issues and challenges related to security, privacy, reliability, and optimality, aiming to achieve QoS for the ultimate benefit of final users.

The contributions in this issue cover a wide range of topics, including but not limited to:

• Big Data-Driven Collective Intelligence: Exploring the use of big data analytics and machine learning techniques to enhance collective intelligence in various applications.
• Network-Based Collective Intelligence: Investigating the role of networks in fostering collective intelligence, including decentralized and distributed systems.
• Security and Privacy in Collective Intelligence: Addressing the challenges of ensuring security and privacy in CCI systems, particularly in the context of big data and IoT.
• Reliability and Fault Tolerance in Collective Intelligence: Developing robust and reliable methods for collective intelligence, considering the presence of faults and failures.
• Service Selection and Optimization in Collective Intelligence: Developing algorithms and models to optimize service selection and resource allocation in CCI systems.
• Quality of Service (QoS) in Collective Intelligence: Studying the provision of QoS guarantees in CCI systems, considering the diverse requirements of final users.
• Machine Learning in Collective Intelligence: Investigating the use of machine learning algorithms and techniques to improve collective intelligence performance and decision-making.

By publishing this issue, we aim to foster the exchange of ideas, promote collaboration, and advance the state-of-the-art in the field of collective intelligence. We believe that CCI has the potential to revolutionize the way we solve complex problems and enhance our daily lives, and we are committed to supporting the research and development of this exciting field.

Thank you for your interest in our transactions, and we hope that you will enjoy reading this issue.

Weight: 291g
Dimension: 235 x 155 (mm)
ISBN-13: 9783662665961
Edition number: 1st ed. 2022