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024 7 $a10.1007/978-981-16-2937-2
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035   $a(MiAaPQ)EBC6730140
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035   $a(OCoLC)1268983217
035   $a(PPN)25805526X
035   $a(DE-He213)978-981-16-2937-2
035   $a(EXLCZ)994940000000612419
100   $a20210919d2022      u|         0
101 0 $aeng
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181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aData Management, Analytics and Innovation $eProceedings of ICDMAI 2021, Volume 2 /$fedited by Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas, Alfred M. Bruckstein
205   $a1st ed. 2022.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022.
215   $a1 online resource (530 pages)
225 1 $aLecture Notes on Data Engineering and Communications Technologies,$x2367-4520 ;$v71
311 08$a9789811629365 
311 08$a9811629366 
327   $aSimulation of Lotka-Volterra Equations using Differentiable Programming in Julia -- Feature Selection Strategy for Multi Residents Behavior Analysis in Smart Home Environment -- A Comparative Study on Self-learning Techniques for Securing Digital Devices -- An intelligent, Geo-Replication, Energy Efficient BAN Routing Algorithm under Framework of Machine Learning and Cloud Computing -- New Credibilistic Real Option Model Based on the Pessimism-Optimism Character of a Decision-Maker -- Analysis of Road Accidents in India and Prediction of Accident Severity -- Mining Opinion Features & Sentiment Analysis with Synonymy Aspects -- Understanding Employee Attrition Using Machine Learning Techniques.
330   $aThis book presents the latest findings in the areas of data management and smart computing, machine learning, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Fifth International Conference on Data Management, Analytics and Innovation (ICDMAI 2021), held during January 15?17, 2021, in a virtual mode. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
410  0$aLecture Notes on Data Engineering and Communications Technologies,$x2367-4520 ;$v71
606   $aComputational intelligence
606   $aEngineering$xData processing
606   $aBig data
606   $aComputational Intelligence
606   $aData Engineering
606   $aBig Data
615  0$aComputational intelligence.
615  0$aEngineering$xData processing.
615  0$aBig data.
615 14$aComputational Intelligence.
615 24$aData Engineering.
615 24$aBig Data.
676   $a006.3
702   $aSharma$b Neha$c(Of Tufts University. School of Medicine),
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910743367803321
996   $aData Management, Analytics and Innovation$91935193
997   $aUNINA