Advances in Data Science and Management: Proceedings of ICDSM 2021

This book presents high-quality papers from the Second International Conference on Data Science and Management (ICDSM 2021), exploring how data science facilitates decision-making and learning methods in various applications.

Format: Hardback
Length: 623 pages
Publication date: 14 February 2022
Publisher: Springer Verlag, Singapore

This book is a compilation of high-quality papers presented at the Second International Conference on Data Science and Management (ICDSM 2021), organized by the Gandhi Institute for Education and Technology, Bhubaneswar, from February 19 to 20, 2021. It explores the use of data science to enhance decision-making processes across diverse application domains, while also covering a wide array of learning methods and their applications in addressing various learning challenges. The empirical studies, theoretical analyses, and comparisons to psychological phenomena presented therein contribute to the development of innovative products that cater to market demands.

Introduction:
The field of data science and management has witnessed significant growth in recent years, driven by the increasing demand for data-driven insights and solutions across various industries. The Second International Conference on Data Science and Management (ICDSM 2021) was a pivotal event that brought together experts from around the world to discuss the latest advancements, challenges, and opportunities in this field.

Conference Highlights:
The ICDSM 2021 conference featured a wide range of research papers covering various aspects of data science and management. These papers showcased the innovative applications of data science in fields such as healthcare, finance, marketing, and education. The conference also covered topics related to machine learning, artificial intelligence, big data analytics, and cloud computing, providing insights into the latest technologies and techniques used in these areas.

Research Contributions:
The research papers presented at the ICDSM 2021 conference made significant contributions to the development of data science and management. The studies conducted explored the use of data science to facilitate decision-making processes, improve business operations, and enhance customer experiences. The theoretical analyses and comparisons to psychological phenomena provided valuable insights into the underlying principles and mechanisms of data-driven decision-making.

Learning Methods and Applications:
The conference also emphasized the importance of learning methods and their applications in addressing learning problems. The papers discussed various learning algorithms, such as supervised learning, unsupervised learning, and reinforcement learning, and their applications in domains such as image recognition, natural language processing, and autonomous driving. The discussions highlighted the challenges and opportunities associated with these learning methods and their potential to revolutionize the way we solve complex problems.

Conclusion:
The ICDSM 2021 conference was a remarkable event that showcased the latest advancements in data science and management. The conference provided a platform for researchers, practitioners, and industry experts to exchange ideas, share experiences, and collaborate on developing innovative solutions that can drive positive change in various application domains. The contributions made by the participants to the conference will undoubtedly have a lasting impact on the field of data science and management.

Weight: 1136g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811656842
Edition number: 1st ed. 2022