It looks like you're offline.
Open Library logo
additional options menu

MARC record from Internet Archive

LEADER: 06273cam 2200769Ki 4500
001 on1017756018
003 OCoLC
005 20200930071222.0
008 180104s2018 sz o 000 0 eng d
006 m o d
007 cr cnu|unuuu||
040 $aN$T$beng$erda$epn$cN$T$dN$T$dGW5XE$dAZU$dUPM$dOCLCF$dCOO$dUAB$dOCLCQ$dYDX$dVT2$dMERER$dOCLCQ$dU3W$dCNCEN$dOCLCQ$dLVT$dWYU$dUWO$dOCLCQ$dUKMGB$dCAUOI$dAUD$dESU$dUX1$dUKAHL$dOCLCQ$dOCLCO$dOCLCQ
015 $aGBB8N8579$2bnb
016 7 $a019169126$2Uk
019 $a1018227767$a1021188859$a1026965796$a1032267866$a1059235926$a1066575591$a1066623881$a1081209938$a1086421770
020 $a9783319706887$q(electronic bk.)
020 $a3319706888$q(electronic bk.)
020 $a331970687X
020 $a9783319706870
020 $z9783319706870
024 7 $a10.1007/978-3-319-70688-7$2doi
035 $a(OCoLC)1017756018$z(OCoLC)1018227767$z(OCoLC)1021188859$z(OCoLC)1026965796$z(OCoLC)1032267866$z(OCoLC)1059235926$z(OCoLC)1066575591$z(OCoLC)1066623881$z(OCoLC)1081209938$z(OCoLC)1086421770
037 $acom.springer.onix.9783319706887$bSpringer Nature
050 4 $aQA76.9.B45
072 7 $aCOM$x021000$2bisacsh
072 7 $aUYQ$2bicssc
082 04 $a005.7$223
245 00 $aCognitive computing for big data systems over IoT :$bframeworks, tools and applications /$cArun Kumar Sangaiah, Arunkumar Thangavelu, Venkatesan Meenakshi Sundaram, editors.
264 1 $aCham :$bSpringer,$c2018.
300 $a1 online resource
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
347 $atext file$bPDF$2rda
490 1 $aLecture notes on data engineering and communications technologies ;$vvolume 14
588 0 $aOnline resource; title from PDF title page (EBSCO, viewed January 11, 2018).
505 0 $aBeyond Automation: The Cognitive IoT -- Artificial Intelligence Brings Sense to the Internet of Things -- Cybercrimes Investigation and Intrusion Detection in Internet of Things Based on Data Science Methods -- Modeling and Analysis of Multi-Objective Service Selection Scheme in IoT-Cloud Environment -- Cognitive data science automatic fraud detection solution, based on Benford? s law, fuzzy logic with elements of machine learning -- Reliable Cross Layer Design for E-health Applications -- IoT Perspective -- Erasure Codes for Reliable Communication in Internet-ofThings (IoT) embedded with Wireless Sensors -- Review: Security and Privacy Issues of Fog Computing -- A Review on Security and Privacy Challenges of Big Data -- Recent Developments in Deep Learning with Applications -- High-Level Knowledge Representation and Reasoning in a Cognitive IoT/WoT Context -- Applications of IoT in Healthcare -- Security Stipulations on IoT Networks -- A Hyper Heuristic Localization Based Cloned Node Detection Technique using GSA Based Simulated Annealing in Sensor Networks -- Review on Analysis of the Application Areas and Algorithms used in Data Wrangling in Big Data -- An innovation model for Smart Traffic Management System Using Internet of Things(IoT).#xE000.
520 $aThis book brings a high level of fluidity to analytics and addresses recent trends, innovative ideas, challenges and cognitive computing solutions in big data and the Internet of Things (IoT). It explores domain knowledge, data science reasoning and cognitive methods in the context of the IoT, extending current data science approaches by incorporating insights from experts as well as a notion of artificial intelligence, and performing inferences on the knowledge The book provides a comprehensive overview of the constituent paradigms underlying cognitive computing methods, which illustrate the increased focus on big data in IoT problems as they evolve. It includes novel, in-depth fundamental research contributions from a methodological/application in data science accomplishing sustainable solution for the future perspective. Mainly focusing on the design of the best cognitive embedded data science technologies to process and analyze the large amount of data collected through the IoT, and aid better decision making, the book discusses adapting decision-making approaches under cognitive computing paradigms to demonstrate how the proposed procedures as well as big data and IoT problems can be handled in practice. This book is a valuable resource for scientists, professionals, researchers, and academicians dealing with the new challenges and advances in the specific areas of cognitive computing and data science approaches.
650 0 $aBig data.
650 0 $aData mining.
650 0 $aInformation storage and retrieval systems.
650 7 $aCOMPUTERS$xDatabases$xGeneral.$2bisacsh
650 7 $aData mining.$2bicssc
650 7 $aArtificial intelligence.$2bicssc
650 7 $aBig data.$2fast$0(OCoLC)fst01892965
650 7 $aData mining.$2fast$0(OCoLC)fst00887946
650 7 $aInformation storage and retrieval systems.$2fast$0(OCoLC)fst00972781
655 0 $aElectronic book
655 4 $aElectronic books
700 1 $aSangaiah, Arun Kumar,$eeditor.
700 1 $aThangavelu, Arunkumar,$eeditor.
700 1 $aSundaram, Venkatesan Meenakshi,$eeditor.
776 08 $iPrinted edition:$z9783319706870
830 0 $aLecture notes on data engineering and communications technologies ;$vv. 14.
856 40 $3EBSCOhost$uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1670341
856 40 $3SpringerLink$uhttps://doi.org/10.1007/978-3-319-70688-7
856 40 $3SpringerLink$uhttps://link.springer.com/book/10.1007/978-3-319-70687-0
856 40 $3SpringerLink$uhttps://link.springer.com/book/10.1007/978-3-319-70688-7
856 40 $3VLeBooks$uhttp://www.vlebooks.com/vleweb/product/openreader?id=none&isbn=9783319706887
856 40 $uhttp://VH7QX3XE2P.search.serialssolutions.com/?V=1.0&L=VH7QX3XE2P&S=JCs&C=TC0001930497&T=marc&tab=BOOKS
938 $aAskews and Holts Library Services$bASKH$nAH33857267
938 $aEBSCOhost$bEBSC$n1670341
938 $aYBP Library Services$bYANK$n15079229
029 1 $aAU@$b000061573320
029 1 $aUKMGB$b019169126
994 $aZ0$bP4A
948 $hNO HOLDINGS IN P4A - 191 OTHER HOLDINGS