LEADER 00864nam0-22003011i-450- 001 990007701690403321 005 20101029102048.0 035 $a000770169 035 $aFED01000770169 035 $a(Aleph)000770169FED01 035 $a000770169 100 $a20030814d1959----km-y0itay50------ba 101 0 $ager 102 $aDE 105 $ay---n---001yy 200 1 $aDeutsche Privatrecht$eein Studienbuch$fHeinrich Mitteis 205 $a3. durchgesehene und erganzte Auflage 210 $aMünchen ; Berlin$c[s.n.]$d1959 215 $aXII,176 p.$d24 cm 225 1 $aKurzehrbücher für das juristiche Studium 700 1$aMitteis,$bHeinrich$0180183 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990007701690403321 952 $a19-L-116$b1517 civ.$fDDCP 959 $aDDCP 996 $aDeutsche Privatrecht$9681570 997 $aUNINA LEADER 03933nam 22007335 450 001 9910739427803321 005 20200629193143.0 010 $a9783319275208 010 $a3319275208 024 7 $a10.1007/978-3-319-27520-8 035 $a(CKB)3710000000596529 035 $a(EBL)4391610 035 $a(SSID)ssj0001653908 035 $a(PQKBManifestationID)16432906 035 $a(PQKBTitleCode)TC0001653908 035 $a(PQKBWorkID)14982436 035 $a(PQKB)10212684 035 $a(DE-He213)978-3-319-27520-8 035 $a(MiAaPQ)EBC4391610 035 $a(PPN)192220667 035 $a(EXLCZ)993710000000596529 100 $a20160205d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aTechniques and Environments for Big Data Analysis $eParallel, Cloud, and Grid Computing /$fedited by B. S.P. Mishra, Satchidananda Dehuri, Euiwhan Kim, Gi-Name Wang 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (199 p.) 225 1 $aStudies in Big Data,$x2197-6503 ;$v17 300 $aDescription based upon print version of record. 311 08$a9783319275185 311 08$a3319275186 320 $aIncludes bibliographical references at the end of each chapters. 327 $aIntroduction to Big Data Analysis -- Parallel Environments -- A Deep Dive into the Hadoop World to Explore its Various Performances -- Natural Language Processing and Machine Learning for Big Data -- Big Data and Cyber Foraging: Future Scope and Challenges -- Parallel GA in Big Data Analysis -- Evolutionary Algorithm Based Techniques to Handle Big Data -- Statistical and Evolutionary Feature Selection Techniques Parallelized using MapReduce Programming Model -- A Data Aware Scheme for Scheduling Big-Data Applications on SAVANNA Hadoop -- The Role of Grid Technologies: A Next Level Combat with Big Data. 330 $aThis volume is aiming at a wide range of readers and researchers in the area of Big Data by presenting the recent advances in the fields of Big Data Analysis, as well as the techniques and tools used to analyze it. The book includes 10 distinct chapters providing a concise introduction to Big Data Analysis and recent Techniques and Environments for Big Data Analysis. It gives insight into how the expensive fitness evaluation of evolutionary learning can play a vital role in big data analysis by adopting Parallel, Grid, and Cloud computing environments. 410 0$aStudies in Big Data,$x2197-6503 ;$v17 606 $aComputational intelligence 606 $aData mining 606 $aArtificial intelligence 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputational intelligence. 615 0$aData mining. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aArtificial Intelligence. 676 $a005.74023 686 $a32.24$2EP-CLASS 702 $aMishra$b B. S.P$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDehuri$b Satchidananda$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKim$b Euiwhan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWang$b Gi-Name$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910739427803321 996 $aTechniques and Environments for Big Data Analysis$91550055 997 $aUNINA