Data Science

Semantic Technology, Intelligent Data Analytics, and Sustainability Practices
1. Auflage 2026
ISBN: 978-1-041-04396-6
Verlag: CRC Press

Buch, Englisch, 280 Seiten, Format (B × H): 156 mm x 234 mm

As data is the most important asset for any organization, it is essential to apply analytics to fulfill the sustainability needs of any organization. This book aims to provide a context for data analytics for the sustainability of organizations demonstrating innovation across a few specific subject areas with detailed coverage. It highlights how data analytics enables organizations to create intelligence by exploring opportunities and overcoming challenges, both present and future.

Data Science: Semantic Technology, Intelligent Data Analytics, and Sustainability Practice is packed with up-to-date examples and data, ensuring it’s both meaningful and practical for a diverse audience. It begins with an introduction to data analytics in the context of sustainable development. Each chapter explores the different aspects of data analytics for sustainability, utilizing a state-of-the-art context that is easy to grasp. Key concepts are presented through clear explanations, making them accessible to all readers. At the end of each chapter, is a summary of the main points, allowing for quick reviews of the essential ideas. It provides practical insights into applying data analytics concepts towards sustainable development, empowering readers to enhance their decision-making abilities, and discusses a strategic approach aligned with the vision for 2030 and beyond while addressing the anticipated challenges.

This resource provides support to researchers, scholars, technology practitioners, business analysts, data scientists, and industry professionals worldwide, promoting globalization and enabling real-life application of findings in their organizations.

Zielgruppe

Professional Reference

Autoren/Hrsg.

Debnath, Narayan C

Patel, Archana

Kumar Mishra, Ambrish

Fachgebiete

• Technische Wissenschaften Technik Allgemein Industrial Engineering
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Fertigungstechnik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen

Inhaltsverzeichnis

1. Strategy for Sustainability.  2. Foundations of Intelligent Data Analytics: A Framework for Success.  3. Intelligent Analytics for Environmental Sustainability and Energy Optimization.  4. Intelligent Analytics for Environmental Sustainability and Energy Optimization Predictive Analytics for Climate Change Mitigation.  5. Digital Twins and Distributed Computing to Transform Manufacturing via Sustainable Innovation. 6. Digitizing CNC Machines for Sustainable Manufacturing. 7. Sentiment Analysis in Smart Cities: Pandemic Disease Citizen’s Opinions.  8. Bridging Accessibility Gaps in Low and Middle Countries Healthcare: A Cost-Effective Approach to Electric Wheelchair Conversion.  9. Collaborative AI for Diverse Iot Devices-Balancing Privacy, Efficiency, and Performance in Federated Learning. 10. Intelligent Data Analytics for Sustainable HR Management in IT Companies. 11. Future Directions in Semantic Technology, Data Analytics, and Sustainability.

Über Autor(innen)

Narayan C. Debnath is currently the Founding Dean of the School of Computing and Information Technology and the Head of the Department of Software Engineering at Eastern International University, Vietnam. He has been the Director of the International Society for Computers and their Applications (ISCA), USA since 2014.

Archana Patel is an Assistant Professor at the National Forensic Sciences University, Delhi, India. She has worked as a full-time faculty at the School of Computing and Information Technology, Eastern International University, Binh Duong Province, Vietnam. She has been awarded the Best Paper award four times at international conferences and has served as a reviewer in various reputable journals and conferences. She is the author or co-author of over 40 publications in numerous referred journals and conference proceedings, has edited 11 books, and served as a guest editor in many well-reputed journals. Her research interests are Ontological Engineering, Semantic Web, Big Data, Expert Systems, and Knowledge Representation.

Ambrish Kumar Mishra is a member of the International Society for Development and Sustainability (ISDS), in Japan. He has six years of industry, teaching, and training experience in renowned organizations like ALIMCO, Axis Bank, IndusInd Bank, and Mahendras. Mr. Mishra has received various awards in the field of research, training, and development. His recently published research paper has been selected for the Best Paper award at the International Conference in 2021. His areas of interest are banking, data management, e-commerce, and Artificial intelligence.