000 05839nam a22006375i 4500
001 978-3-319-60435-0
003 DE-He213
005 20220801221549.0
007 cr nn 008mamaa
008 170814s2018 sz | s |||| 0|eng d
020 _a9783319604350
_9978-3-319-60435-0
024 7 _a10.1007/978-3-319-60435-0
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aInternet of Things and Big Data Analytics Toward Next-Generation Intelligence
_h[electronic resource] /
_cedited by Nilanjan Dey, Aboul Ella Hassanien, Chintan Bhatt, Amira S. Ashour, Suresh Chandra Satapathy.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXI, 549 p. 236 illus., 160 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Big Data,
_x2197-6511 ;
_v30
505 0 _aInternet of Things based Wireless Body Area Network in HealthCare -- Mobile Sensor Networks and Robotics -- Big Data Analytics with Machine Learning Tools -- Real time big data analytics to derive actionable intelligence in enterprise applications -- Revealing Big Data Emerging Technology as Enabler of LMS Technologies Transferability -- Performance Evaluation of Big Data and Business Intelligence Open Source Tools: Pentaho and Jaspersoft -- IoT Gateway for Smart Devices -- Smart manufacturing in the Internet of Things era -- Home Automation using IoT -- A Prototype of IoT-Based Real Time Smart Street Parking System for Smart Cities -- Smart Irrigation: Towards Next Generation Agriculture -- Greening the future: Green Internet of Things (GIoT) as a key technological enabler of sustainable development -- Design of Cloud-Based Green IoT Architecture for Smart Cities -- Internet of Things Shaping Smart Cities: A Survey -- Big Data Analytics for Smart Cities -- High Capacity and Secure Electronic Patient Record (EPR) embedding in color images for IoT driven healthcare systems -- Practical Techniques for Securing the Internet of Things (IoT) Against Side Channel Attacks -- Framework of Temporal Data Stream Mining by Using Incrementally Optimized Very Fast Decision Forest -- Sentiment Analysis and Mining of Opinions -- A Modified Hybrid Structure for Next Genration Super High Speed Communication using TDLTE and Wi-Max Pranay.
520 _aThis book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments.  Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms should be used to analyze IoT data. Information technology (IT) allows people to upload, retrieve, store and collect information, which ultimately forms big data. The use of big data analytics has grown tremendously in just the past few years. At the same time, the IoT has entered the public consciousness, sparking people’s imaginations as to what a fully connected world can offer.  Further, the book discusses the analysis of real-time big data to derive actionable intelligence in enterprise applications in several domains, such as in industry and agriculture. It explores possible automated solutions in daily life, including structures for smart cities and automated home systems based on IoT technology, as well as health care systems that manage large amounts of data (big data) to improve clinical decisions. The book addresses the security and privacy of the IoT and big data technologies, while also revealing the impact of IoT technologies on several scenarios in smart cities design. Intended as a comprehensive introduction, it offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in IoT and big data technologies. .
650 0 _aComputational intelligence.
_97716
650 0 _aBig data.
_94174
650 0 _aQuantitative research.
_94633
650 0 _aArtificial intelligence.
_93407
650 0 _aApplication software.
_956742
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aBig Data.
_94174
650 2 4 _aData Analysis and Big Data.
_956743
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer and Information Systems Applications.
_956744
700 1 _aDey, Nilanjan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_916114
700 1 _aHassanien, Aboul Ella.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_918087
700 1 _aBhatt, Chintan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_956745
700 1 _aAshour, Amira S.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_956746
700 1 _aSatapathy, Suresh Chandra.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_956747
710 2 _aSpringerLink (Online service)
_956748
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319604343
776 0 8 _iPrinted edition:
_z9783319604367
776 0 8 _iPrinted edition:
_z9783319868646
830 0 _aStudies in Big Data,
_x2197-6511 ;
_v30
_956749
856 4 0 _uhttps://doi.org/10.1007/978-3-319-60435-0
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79805
_d79805