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010   $a9783031966538$b(electronic bk.)
010   $z9783031966521
024 7 $a10.1007/978-3-031-96653-8
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035   $a(Au-PeEL)EBL32207515
035   $a(CKB)39633446200041
035   $a(DE-He213)978-3-031-96653-8
035   $a(EXLCZ)9939633446200041
100   $a20250711d2025      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aNew Paradigms in Big Data Technology and Business Analytics $eProceedings of the International Conference on Big Data Technology and Business Analytics /$fedited by Srikanta Patnaik, Madjid Tavana, Vipul Jain
205   $a1st ed. 2025.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025.
215   $a1 online resource (605 pages)
225 1 $aLecture Notes in Networks and Systems,$x2367-3389 ;$v1494
311 08$aPrint version: Patnaik, Srikanta New Paradigms in Big Data Technology and Business Analytics Cham : Springer,c2025 9783031966521 
327   $a -- 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.
330   $a?New Paradigms in Big Data Technology and Business Analytics? emphasize the integration of Big Data Technology and Business Analytics enables organizations to transform vast volumes of data into strategic insights, driving smarter decisions, operational efficiency, and innovative growth. This volume presents a comprehensive exploration of the evolving landscape of Big Data Technology and Business Analytics, showcasing transformative approaches that are reshaping industries and research alike. It highlights the integration of advanced tools such as artificial intelligence, machine learning, data mining, and cloud infrastructure to drive intelligent decision-making and operational efficiency. Focusing on both theoretical frameworks and real-world case studies, this book explores into five essential domains: Big Data Infrastructure and Technologies, Data Mining and Machine Learning, Big Data Applications and Case Studies, Business Intelligence and Decision Support, and Data Governance and Ethics. By merging theoretical knowledge with practical applications, this book equips educators, researchers, practitioners, and students with actionable insights into how data-driven strategies can unlock sustainable growth and innovation across sectors. With a forward-thinking vision, it addresses key issues like data privacy, algorithmic fairness, and strategic deployment of analytics in diverse environments. By blending emerging technologies with practical applications, this book serves as a roadmap for anyone aiming to harness the full potential of big data to reshape modern business and society.
410  0$aLecture Notes in Networks and Systems,$x2367-3389 ;$v1494
606   $aEngineering$xData processing
606   $aComputational intelligence
606   $aBig data
606   $aData Engineering
606   $aComputational Intelligence
606   $aBig Data
615  0$aEngineering$xData processing.
615  0$aComputational intelligence.
615  0$aBig data.
615 14$aData Engineering.
615 24$aComputational Intelligence.
615 24$aBig Data.
676   $a620.00285
700   $aPatnaik$b Srikanta$01429258
701   $aTavana$b Madjid$01249763
701   $aJain$b Vipul$0928288
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
912   $a9911015629803321
996   $aNew Paradigms in Big Data Technology and Business Analytics$94408283
997   $aUNINA