LEADER 01954nam 2200397 n 450 001 996394760903316 005 20200824121028.0 035 $a(CKB)3810000000010534 035 $a(EEBO)2248578914 035 $a(UnM)99840136e 035 $a(UnM)99840136 035 $a(EXLCZ)993810000000010534 100 $a19910131d1555 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 04$aThe decades of the newe worlde or west India$b[electronic resource] $econteynyng the nauigations and conquestes of the Spanyardes, with the particular description of the moste ryche and large landes and ilandes lately founde in the west ocean perteynyng to the inheritaunce of the kinges of Spayne. ... Wrytten in the Latine tounge by Peter Martyr of Angleria, and translated into Englysshe by Rycharde Eden 210 $aLondini $cIn ędibus Guilhelmi Powell [for William Seres]$dAnno. 1555 215 $a[24], 309, [1], 310-361, [13] leaves $cill. (woodcut) 300 $aA translation of decades 1-3 of "De orbe novo", with additions from numerous other sources edited by Eden. 300 $aColophon reads: Imprynted at London in Lumbard streete at the signe of the Cradle by [i.e. for] Edwarde Sutton. .. 300 $aWith 13 final contents leaves. 300 $aThe inserted leaf after 309 is a letter from the Emperor of Russia to Edward VI. 300 $aOne of four variants with different publishers' names in the colophon. 300 $aReproduction of the original in the Henry E. Huntington Library and Art Gallery. 330 $aeebo-0113 607 $aAmerica$xEarly accounts to 1600 700 $aAnghiera$b Pietro Martire d'$f1457-1526.$0867676 701 $aEden$b Richard$f1521?-1576.$01000999 801 0$bCu-RivES 801 1$bCu-RivES 801 2$bCStRLIN 801 2$bWaOLN 906 $aBOOK 912 $a996394760903316 996 $aThe decades of the newe worlde or west India$92298299 997 $aUNISA LEADER 05431nam 22007575 450 001 9910254334203321 005 20200702005316.0 010 $a3-319-53474-2 024 7 $a10.1007/978-3-319-53474-9 035 $a(CKB)3710000001124659 035 $a(DE-He213)978-3-319-53474-9 035 $a(MiAaPQ)EBC4828367 035 $a(PPN)199768668 035 $a(EXLCZ)993710000001124659 100 $a20170321d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData Science and Big Data: An Environment of Computational Intelligence /$fedited by Witold Pedrycz, Shyi-Ming Chen 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (VIII, 303 p. 101 illus., 80 illus. in color.) 225 1 $aStudies in Big Data,$x2197-6503 ;$v24 311 $a3-319-53473-4 320 $aIncludes bibliographical references and index. 327 $aPart I. Fundamentals -- Large-Scale Clustering Algorithms -- On High Dimensional Search Space and Learning Methods.-Enhanced Over_Sampling Techniques for Imbalanced Big Data Set Classification -- Online Anomaly Detection in Big Data: The First Line of Defense Against Intruders -- Developing Modified Classifier for Big Data Paradigm: An Approach through Bio-Inspired Soft Computing -- Unified Framework for Control of Machine Learning Tasks Towards Effective and Efficient Processing of Big Data -- An Efficient Approach for Mining High Utility Itemsets over Data Streams -- Event Detection in Location-Based Social Networks -- Part II. Applications -- Using Computational Intelligence for the Safety Assessment of Oil and Gas Pipelines: A Survey -- Big Data for Effective Management of Smart Grids -- Distributed Machine Learning on Smart-Gateway Network Towards Real-Time Indoor Data Analytics -- Predicting Spatiotemporal Impacts of Weather on Power Systems using Big Data Science -- Index. 330 $aThis book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business. Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention of industry and business alike. The area itself has opened up promising new directions of fundamental and applied research and has led to interesting applications, especially those addressing the immediate need to deal with large repositories of data and building tangible, user-centric models of relationships in data. Data is the lifeblood of today?s knowledge-driven economy. Numerous data science models are oriented towards end users and along with the regular requirements for accuracy (which are present in any modeling), come the requirements for ability to process huge and varying data sets as well as robustness, interpretability, and simplicity (transparency). Computational intelligence with its underlying methodologies and tools helps address data analytics needs. The book is of interest to those researchers and practitioners involved in data science, Internet engineering, computational intelligence, management, operations research, and knowledge-based systems. 410 0$aStudies in Big Data,$x2197-6503 ;$v24 606 $aComputational intelligence 606 $aData mining 606 $aArtificial intelligence 606 $aBig data 606 $aMedical informatics 606 $aHealth services administration 606 $aHealth services administration 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 606 $aBig Data/Analytics$3https://scigraph.springernature.com/ontologies/product-market-codes/522070 606 $aHealth Informatics$3https://scigraph.springernature.com/ontologies/product-market-codes/H28009 606 $aHealth Care Management$3https://scigraph.springernature.com/ontologies/product-market-codes/527030 615 0$aComputational intelligence. 615 0$aData mining. 615 0$aArtificial intelligence. 615 0$aBig data. 615 0$aMedical informatics. 615 0$aHealth services administration. 615 0$aHealth services administration. 615 14$aComputational Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aArtificial Intelligence. 615 24$aBig Data/Analytics. 615 24$aHealth Informatics. 615 24$aHealth Care Management. 676 $a620 702 $aPedrycz$b Witold$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aChen$b Shyi-Ming$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254334203321 996 $aData Science and Big Data: An Environment of Computational Intelligence$91979661 997 $aUNINA