This book addresses the impacts of various types of services such as infrastructure, platforms, software, and business processes that cloud computing and Big Data have introduced into business. Featuring chapters which discuss effective and efficient approaches in dealing with the inherent complexity and increasing demands in data science, a variety of application domains are covered. Various case studies by data management and analysis experts are presented in these chapters. Covered applications include banking, social networks, bioinformatics, healthcare, transportation and criminology. Highlighting the Importance of Big Data Management and Analysis for Various Applications will provide the reader with an understanding of how data management and analysis are adapted to these applications. This book will appeal to researchers and professionals in the field.

Data management and analysis is one of the fastest growing and most challenging areas of research and development in both academia and industry. Numerous types of applications and services have been studied and re-examined in this field resulting in this edited volume which includes chapters on effective approaches for dealing with the inherent complexity within data management and analysis. This edited volume contains practical case studies, and will appeal to students, researchers and professionals working in data management and analysis in the business, education, healthcare, and bioinformatics areas.

Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations are emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low cost and high volume applications. Several of such applications have been difficult to realize because of many interconnections problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This volume covers the theory, design and applications of computer networks, distributed computing and information systems. The aim of the volume “Advanced Information Networking and Applications” is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.

?Artificial intelligence, Big data, Blockchain and 5G for Digital Transformation of Healthcare Industry provides insights on the successes and failures in the field of IT and digital health during the pandemic and analyzes the lessons from these cases. The social and economic recovery after the pandemic requires urgent solutions for citizens, companies and economies around the world. From research centers, labs, hospitals and academia, researchers and academics are working collaboratively to explore new views and frameworks to develop solutions for emergent problems. Artificial intelligence, Big data, blockchain and 5G for digital transformation of healthcare industry includes cases highlighting the application of digital healthcare solutions from around the world. In 23 Chapters this book delivers a collection of relevant innovative research on digital healthcare, with a three mains goals: 1) study the successes and failures in the field of IT and digital health during the pandemic, and analyze the lessons from these cases; 2) discuss the latest advances in the field of digital healthcare, with a special focus on Artificial Intelligence, Big Data, Blockchain and 5G; and 3) discuss implications for main stakeholders (patients, doctors, IT experts, directors, policy managers. The global outbreak caused by covid-19 caused global disruption in societies, healthcare systems, and economies around the world. This book provides insight to Researchers, clinicians, CEOs and policy makers who need to learn from the failures and successes and exploit the potential of advanced information technologies to build stronger healthcare systems, better quality healthcare services, and more resilient societies. Delivers a collection of relevant innovative research on digital healthcare Discusses the latest advances in the field of digital healthcare, with a special focus on Artificial Intelligence, Big Data, Blockchain, and 5G Provides current lessons learned from the pandemic Includes case studies and experiences from around the world, including Asia, Europe, Gulf Region, Latin America, the United States, and more

For any organization to be successful, it must operate in such a manner that knowledge and information, human resources, and technology are continually taken into consideration and managed effectively. Business concepts are always present regardless of the field or industry – in education, government, healthcare, not-for-profit, engineering, hospitality/tourism, among others. Maintaining organizational awareness and a strategic frame of mind is critical to meeting goals, gaining competitive advantage, and ultimately ensuring sustainability. The Encyclopedia of Organizational Knowledge, Administration, and Technology is an inaugural five-volume publication that offers 193 completely new and previously unpublished articles authored by leading experts on the latest concepts, issues, challenges, innovations, and opportunities covering all aspects of modern organizations. Moreover, it is comprised of content that highlights major breakthroughs, discoveries, and authoritative research results as they pertain to all aspects of organizational growth and development including methodologies that can help companies thrive and analytical tools that assess an organization’s internal health and performance. Insights are offered in key topics such as organizational structure, strategic leadership, information technology management, and business analytics, among others. The knowledge compiled in this publication is designed for entrepreneurs, managers, executives, investors, economic analysts, computer engineers, software programmers, human resource departments, and other industry professionals seeking to understand the latest tools to emerge from this field and who are looking to incorporate them in their practice. Additionally, academicians, researchers, and students in fields that include but are not limited to business, management science, organizational development, entrepreneurship, sociology, corporate psychology, computer science, and information technology will benefit from the research compiled within this publication.

This book constitutes the proceedings of the 25th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2023, which took place in Penang, Malaysia, during August 29-30, 2023. The 18 full papers presented together with 19 short papers were carefully reviewed and selected from a total of 83 submissions. They were organized in topical sections as follows: Data quality; advanced analytics and pattern discovery; machine learning; deep learning; and data management.

This book presents contributions of intelligent management theories and models for a more effective management of sustainable business practices in competitive, profitable and socially responsible organizations. It communicates the latest developments and thinking on the sustainability and intelligent management subjects worldwide, increasing the knowledge and effectiveness of all those involved in these areas whether in the profit or non-profit sectors or in the public or private sectors.