MARC Record from marc_columbia

LEADER: 04001cam a2200541 i 4500
001 13885962
005 20220219225210.0
006 m o d
007 cr cnu---unuuu
008 180418s2018 ne a ob 001 0 eng d
035 $a(OCoLC)on1031468841
035 $a(NNC)13885962
040 $aN$T$beng$erda$epn$cN$T$dIOSPR$dN$T$dEBLCP$dYDX$dOCLCF$dMERUC$dEZ9$dNAM$dINT$dOCLCQ$dNRC$dLVT$dOCLCQ$dOCLCA$dK6U$dVT2$dOCLCO$dOCLCQ
019 $a1031905898$a1031955581$a1031971550$a1032018619$a1032099774$a1235841310
020 $a9781614998143$q(electronic bk.)
020 $a1614998140$q(electronic bk.)
020 $z9781614998136$q(print)
020 $z1614998132
035 $a(OCoLC)1031468841$z(OCoLC)1031905898$z(OCoLC)1031955581$z(OCoLC)1031971550$z(OCoLC)1032018619$z(OCoLC)1032099774$z(OCoLC)1235841310
050 4 $aQA76.9.B45
072 7 $aCOM$x021040$2bisacsh
082 04 $a005.7$223
049 $aZCUA
245 00 $aData intensive computing applications for big data /$cedited by Mamta Mittal, Valentina E. Balas, D. Jude Hemanth, and Raghvendra Kumar.
264 1 $aAmsterdam, Netherlands :$bIOS Press,$c2018.
300 $a1 online resource (xvi, 601 pages) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 1 $aAdvances in parallel computing ;$vvolume 29
588 0 $aOnline resource; title from PDF title page (EBSCO, viewed April 23, 2018).
504 $aIncludes bibliographical references and indexes.
505 0 $aTitle Page; About the Book; About the Editors; Preface; Contents; A Survey of Diversified Domain of Big Data Technologies; Big Data Technologies; Steps for Implementing Big Data and Its Security Challenges; Big Data Security Solutions in Cloud; Big Data Analysis in Cloud Using Machine Learning; Big Data Analysis Using Machine Learning Approach to Compute Data; Data Intensive Computing Application for Big Data; Uncertainty Detection in Unstructured Big Data; Parallel Computing: A Paradigm to Unimaginable Computing Speed and Efficiency.
505 8 $aApplication of Big Data Analytics in Cloud Computing via Machine LearningA Novel Mechanism for Cloud Data Management in Distributed Environment; Spark SQL with Hive Context or SQL Context; Renewing Computing Paradigms for More Efficient Parallelization of Single-Threads; MongoDB as an Efficient Graph Database: An Application of Document Oriented NOSQL Database; Big Data Analytics for Prevention and Control of HIV/AIDS; Performance Analysis of Deadlock Prevention and MUTEX Detection Algorithms in Distributed Environment.
505 8 $aReal Time Location Tracking Map Matching Approaches for Road Navigation ApplicationsAccurate Prediction of Life Style Based Disorders by Smart Healthcare Using Machine Learning and Prescriptive Big Data Analytics; Parallel Computing Contrive Optimized NFB Through QEEG & LENS Approach; S-ARRAY: Highly Scalable Parallel Sorting Algorithm; Protein Synthesis Based Discretization Method for Knowledge Discovery; Scala Programming for Big-Data Application; Fading Channel and Imperfect Channel Estimation for OFDM in Wireless Communication.
505 8 $aBlockchain Innovation and Its Impact on Business Banking OperationsSubject Index; Author Index.
650 0 $aBig data.
650 7 $aCOMPUTERS$xDatabases$xData Warehousing.$2bisacsh
650 7 $aBig data.$2fast$0(OCoLC)fst01892965
655 4 $aElectronic books.
700 1 $aMittal, Mamta,$eeditor.
700 1 $aBalas, Valentina Emilia,$eeditor.
700 1 $aHemanth, D. Jude,$eeditor.
700 1 $aKumar, Raghvendra,$d1987-$eeditor.
776 08 $iPrint version:$tData intensive computing applications for big data.$dAmsterdam, Netherlands : IOS Press, 2018$z1614998132$z9781614998136$w(OCoLC)1027348597
830 0 $aAdvances in parallel computing ;$vv. 29.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio13885962$zAll EBSCO eBooks
852 8 $blweb$hEBOOKS