Proceedings of Data Analytics and Management: ICDAM 2021, Volume 1

This book covers original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), highlighting topics in data analytics, data management, big data, computational intelligence, and communication networks. It is useful for young researchers and students.

Format: Paperback / softback
Length: 825 pages
Publication date: 06 January 2023
Publisher: Springer Verlag, Singapore

This comprehensive book offers a treasure trove of original unpublished contributions, meticulously curated from the esteemed International Conference on Data Analytics and Management (ICDAM 2021), which took place at Jan Wyzykowski University, Poland, in June 2021. Spanning a wide range of topics, including data analytics, data management, big data, computational intelligence, and communication networks, this publication showcases cutting-edge research by renowned academics, esteemed researchers, and industry experts. It serves as an invaluable resource for young researchers and students, providing them with insightful insights and valuable knowledge.

The book's chapters are organized into five distinct sections, each dedicated to exploring key aspects of data analytics and management. The first section delves into the fundamentals of data analytics, covering topics such as data collection, cleaning, analysis, and visualization. It provides a solid foundation for those new to the field, equipping them with the necessary tools and techniques to handle and interpret data effectively.

The second section explores the realm of data management, focusing on strategies and technologies for managing large and complex datasets. It discusses topics such as data warehousing, data mining, and data integration, highlighting the importance of efficient data management in today's data-driven world.

The third section delves into the world of big data, examining the challenges and opportunities associated with analyzing and managing massive amounts of data. It explores techniques such as data compression, data mining, and machine learning, enabling organizations to extract valuable insights and make informed decisions based on their data.

The fourth section explores computational intelligence, a multidisciplinary field that combines artificial intelligence, computer science, and mathematics to solve complex problems. It discusses applications of computational intelligence in various domains, such as healthcare, finance, and transportation, highlighting the potential for innovation and efficiency.

The fifth section focuses on communication networks, examining the design, optimization, and management of communication networks. It discusses topics such as network security, network routing, and network performance, highlighting the importance of reliable and efficient communication networks in today's interconnected world.

Each chapter in this book is authored by leading academics, researchers, and experts in their respective fields, ensuring that the content is both authoritative and up-to-date. The contributions are accompanied by detailed explanations, illustrations, and case studies, making the material accessible and engaging for a wide range of readers.

Whether you are a student, researcher, or professional seeking to expand your knowledge in data analytics and management, this book is an essential resource. It provides a comprehensive overview of the latest trends, techniques, and applications in the field, equipping you with the skills and knowledge needed to succeed in today's data-driven world.

In conclusion, this comprehensive book offers a wealth of original unpublished contributions from the International Conference on Data Analytics and Management (ICDAM 2021). It covers a wide range of topics, from data analytics to data management, big data to computational intelligence, and communication networks. The contributions are authored by leading academics, researchers, and experts, ensuring that the content is both authoritative and up-to-date. Whether you are a student, researcher, or professional seeking to expand your knowledge in data analytics and management, this book is an essential resource.

Weight: 1282g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811662911
Edition number: 1st ed. 2022