LEADER 04015nam 22007095 450 001 9910495181403321 005 20260114144134.0 010 $a9789811629341 010 $a981162934X 024 7 $a10.1007/978-981-16-2934-1 035 $a(CKB)4100000011995107 035 $a(MiAaPQ)EBC6690070 035 $a(Au-PeEL)EBL6690070 035 $a(PPN)257354107 035 $a(DE-He213)978-981-16-2934-1 035 $a(EXLCZ)994100000011995107 100 $a20210804d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData Management, Analytics and Innovation $eProceedings of ICDMAI 2021, Volume 1 /$fedited by Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas, Alfred M. Bruckstein 205 $a1st ed. 2021. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2021. 215 $a1 online resource (453 pages) 225 1 $aLecture Notes on Data Engineering and Communications Technologies,$x2367-4520 ;$v70 311 08$a9789811629334 311 08$a9811629331 320 $aIncludes bibliographical references and index. 327 $aVerification, Validation and Evaluation of Medicinal Prescription System -- Creation of Knowledge Graph for Client complaint Management System -- Automation of Bid Proposal Preparation through AI Smart Assistant -- A Review on Application of Machine Learning and Deep Learning Algorithms in Head and Neck Cancer Prediction and Prognosis -- Multi-Index Validation Mechanisms for the Land Cover Classification of Multispectral Images: A Case-Study of Kabini Reservoir -- Optimizing the reliability of a bank with Logistic Regression and Particle Swarm Optimization -- Performance Evaluation of Classification Models for HIV/AIDS Dataset -- Impact of clustering algorithms in catastrophe management: a task-technology appropriate perspective -- Real-Time Soybean Crop Insect Classification using Customized Deep Learning Models -- Writer-independent Offline Signature Verification using Deep Siamese Neural Network. 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 Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and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,$x2367-4520 ;$v70 606 $aComputational intelligence 606 $aEngineering$xData processing 606 $aBig data 606 $aComputational Intelligence 606 $aData Engineering 606 $aBig Data 606 $aGestió de bases de dades$2thub 606 $aInvestigació quantitativa$2thub 606 $aDades massives$2thub 608 $aCongressos$2thub 608 $aLlibres electrònics$2thub 615 0$aComputational intelligence. 615 0$aEngineering$xData processing. 615 0$aBig data. 615 14$aComputational Intelligence. 615 24$aData Engineering. 615 24$aBig Data. 615 7$aGestió de bases de dades 615 7$aInvestigació quantitativa 615 7$aDades massives 676 $a005.74 702 $aSharma$b Neha$c(Of Tufts University. School of Medicine) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910495181403321 996 $aData Management, Analytics and Innovation$91935193 997 $aUNINA