LEADER 01806nam2 22004213i 450 001 RML0375083 005 20231121125800.0 010 $a9782251011226 100 $a20141127d2007 ||||0itac50 ba 101 | $alat$afre 102 $afi 181 1$6z01$ai $bxxxe 182 1$6z01$an 200 0 $a1. Livres 1 205 $a5.$fOvide$gtexte établi et traduit par Georges Lafaye 210 $a4e tirage de la 8e éd. revue et corrigée / par J. Fabre 215 $aParis$cLes Belles Lettres, 2007. - XXXIV, 147 p. (doppie)$d20 cm. 461 1$1001TO00066512$12001 $a˜Les œMétamorphoses$fOvide$gtexte établi et traduit par Georges Lafaye$v1 700 1$aOvidius Naso$b, Publius$3CFIV002690$4070$0154954 702 1$aLafaye$b, Georges$3RAVV062742$4340 790 0$aOvid$3AQ1V000257$zOvidius Naso, Publius 790 1$aOvidio Nasone$b, Publio$3CFIV002693$zOvidius Naso, Publius 790 0$aOvidiu$3CFIV078917$zOvidius Naso, Publius 790 0$aOvidio$3CFIV156621$zOvidius Naso, Publius 790 1$aOvidio Nasone$b, P.$3CFIV160367$zOvidius Naso, Publius 790 1$aOvidius$b, Publius Naso$3CFIV228966$zOvidius Naso, Publius 790 0$aObidios$3CFIV230653$zOvidius Naso, Publius 790 1$aOvidio Naso$b, Publius$3SBNV006544$zOvidius Naso, Publius 790 1$aNasone$b, Publio Ovidio$3SBNV047182$zOvidius Naso, Publius 790 0$aOvide$3UFIV122075$zOvidius Naso, Publius 801 3$aIT$bIT-01$c20141127 850 $aIT-FR0017 899 $aBiblioteca umanistica Giorgio Aprea$bFR0017 $eN 912 $aRML0375083 950 2$aBiblioteca umanistica Giorgio Aprea$d 52BLL Ovi.Met. 2.1$e 52FLS0000383835 VMN RS $fC $h20141127$i20141127 977 $a 52 996 $a1. Livres 1$93633488 997 $aUNICAS LEADER 03931nam 22005655 450 001 9910366660103321 005 20251113184334.0 010 $a981-15-0128-9 024 7 $a10.1007/978-981-15-0128-9 035 $a(CKB)4100000009940015 035 $a(MiAaPQ)EBC5984845 035 $a(DE-He213)978-981-15-0128-9 035 $a(PPN)260301221 035 $a(EXLCZ)994100000009940015 100 $a20191126d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMicroservices in Big Data Analytics $eSecond International, ICETCE 2019, Rajasthan, India, February 1st-2nd 2019, Revised Selected Papers /$fedited by Anil Chaudhary, Chothmal Choudhary, Mukesh Kumar Gupta, Chhagan Lal, Tapas Badal 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (xxiv, 188 pages) $cillustrations 311 08$a981-15-0127-0 327 $aAdaptive VM Migration and Allocation Mechanism in Cloud Environment -- Educational Cloud Framework-A Literature Review on Finding Better Private Cloud Framework for Educational Hub -- Improved DYMO Based ACO for MANET Using Distance and Density of Nodes -- An Efficient ATM Surveillance Framework Using Optical Flow with CNN -- An Efficient Approach for Image Encryption using Zigzag, Arnold Transformation and Double Random Phase Encoding in Fractional Fourier Transform Domain -- Comparison of Execution Time of Mobile Application Using Equal Division and Profile Based algorithm in Mobile Cloud Computing -- Ontological Design of Information Retrieval Model for Real Estate Documents -- Parameter Optimization in Convolutional Neural Networks Using Gradient Descent -- Empirical Investigation of Usability Evaluation Methods for Mobile Applications Using Evidence Based Approach -- Prediction of Underwater Surface Target through SONAR: A Case Study of Machine Learning -- Big Data Machine Learning Framework for Drug Toxicity Prediction -- Implementation of Block Based Symmetric Algorithms for Real Image Encryption -- Human Emotion Recognition Using Body Expressive Feature -- Self-Energizing Wireless Sensor Network -- A Fuzzy Logic Based Control System for Detection and Mitigation of Black Hole Attack in Vehicular Ad-Hoc Network -- Cloud Computing Based Approach for Accessing Electronic Health Record for Healthcare Sector. 330 $aThese proceedings gather cutting-edge papers exploring the principles, techniques, and applications of Microservices in Big Data Analytics. The ICETCE-2019 is the latest installment in a successful series of annual conferences that began in 2011. Every year since, it has significantly contributed to the research community in the form of numerous high-quality research papers. This year, the conference?s focus was on the highly relevant area of Microservices in Big Data Analytics. 606 $aComputer engineering 606 $aComputer networks 606 $aBig data 606 $aComputer Engineering and Networks 606 $aBig Data 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aBig data. 615 14$aComputer Engineering and Networks. 615 24$aBig Data. 676 $a005.7 702 $aChaudhary$b Anil$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aChoudhary$b Chothmal$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGupta$b Mukesh Kumar$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLal$b Chhagan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBadal$b Tapas$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910366660103321 996 $aMicroservices in Big Data Analytics$91990781 997 $aUNINA