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New paradigms in big data technology and business analyticsproceedings of the International Conference on Big Data Technology and Business Analytics /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	New paradigms in big data technology and business analyticsedited by Srikanta Patnaik, Madjid Tavana, Vipul Jain.
其他題名:	proceedings of the International Conference on Big Data Technology and Business Analytics /
其他作者:	Patnaik, Srikanta.
團體作者:
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	xxiv, 446 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	BusinessCongresses.Data processing
電子資源:	https://doi.org/10.1007/978-3-031-96653-8
ISBN:	9783031966538$q(electronic bk.)

New paradigms in big data technology and business analyticsproceedings of the International Conference on Big Data Technology and Business Analytics /
New paradigms in big data technology and business analyticsproceedings of the International Conference on Big Data Technology and Business Analytics /[electronic resource] :edited by Srikanta Patnaik, Madjid Tavana, Vipul Jain. - Cham :Springer Nature Switzerland :2025. - xxiv, 446 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,14942367-3389 ;. - Lecture notes in networks and systems ;v.1..

Overview of Research on Compliance Testing of Data Standards in the Transportation Sector -- Design and Implementation of a Supply Chain Traceability System Based on Blockchain Technology -- A Data Synchronization Desensitization System Based on Format-Preserving Encryption -- Research on the Development Strategy of Smart Tourism Driven by Big Data Platform -- Construction of digital twins model for logistics finance, etc.

"New Paradigms in Big Data Technology and Business Analytics" emphasize the integration of Big Data Technology and Business Analytics enables organizations to transform vast volumes of data into strategic insights, driving smarter decisions, operational efficiency, and innovative growth. This volume presents a comprehensive exploration of the evolving landscape of Big Data Technology and Business Analytics, showcasing transformative approaches that are reshaping industries and research alike. It highlights the integration of advanced tools such as artificial intelligence, machine learning, data mining, and cloud infrastructure to drive intelligent decision-making and operational efficiency. Focusing on both theoretical frameworks and real-world case studies, this book explores into five essential domains: Big Data Infrastructure and Technologies, Data Mining and Machine Learning, Big Data Applications and Case Studies, Business Intelligence and Decision Support, and Data Governance and Ethics. By merging theoretical knowledge with practical applications, this book equips educators, researchers, practitioners, and students with actionable insights into how data-driven strategies can unlock sustainable growth and innovation across sectors. With a forward-thinking vision, it addresses key issues like data privacy, algorithmic fairness, and strategic deployment of analytics in diverse environments. By blending emerging technologies with practical applications, this book serves as a roadmap for anyone aiming to harness the full potential of big data to reshape modern business and society.

ISBN: 9783031966538$q(electronic bk.)

Standard No.: 10.1007/978-3-031-96653-8doiSubjects--Topical Terms:

443284
Business
--Data processing--Congresses.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

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