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001 978-3-031-15542-0
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008 230125s2023 sz | s |||| 0|eng d
020 _a9783031155420
_9978-3-031-15542-0
050 4 _aTK5101-5105.9
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
072 7 _aTJK
_2thema
082 0 4 _a621.382
_223
245 1 0 _aRole of Data-Intensive Distributed Computing Systems in Designing Data Solutions
_h[electronic resource] /
_cedited by Sarvesh Pandey, Udai Shanker, Vijayalakshmi Saravanan, Rajinikumar Ramalingam.
250 _a1st ed. 2023.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2023.
300 _aXIV, 338 p. 131 illus., 81 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 _aEAI/Springer Innovations in Communication and Computing,
_x2522-8609
500 _aAcceso multiusuario
505 0 _aIntroduction -- One World One Identification Smart System -- Tiered Architectural View of IoT: Structural Analysis and Concerns -- Rethinking Real-Time Applications in the current big data perspective -- Accuracy of Machine Learning Algorithms in predicting Retinal Disease -- A Cloud Trustworthiness Assessment Algorithm -- Improving Security in IoT devices -- Data backup Techniques for Healthcare Systems -- Role of Distributed Mutual Exclusion Algorithm -- Anomaly detection system in health care system enabled in blockchain technology framework -- Artificial intelligence-based Outlier Prediction -- Machine Learning in OpenFlow Network -- Defense Machinery Against Sybil Attacks over Wireless Ad-hoc Network on IoT -- Decentralized application development for health care using smart contracts -- Role of IoT in Healthcare -- Improved Breast Cancer Classification Using K-Means & Logistic Regression -- Sentimental Analysis -- IoT and Smart city -- Blockchain technology-based applications -- Anomaly detection in cryptocurrencies framework -- Application of deep learning in blockchain enabled applications -- Conclusion.
520 _aThis book discusses the application of data systems and data-driven infrastructure in existing industrial systems in order to optimize workflow, utilize hidden potential, and make existing systems free from vulnerabilities. The book discusses application of data in the health sector, public transportation, the financial institutions, and in battling natural disasters, among others. Topics include real-time applications in the current big data perspective; improving security in IoT devices; data backup techniques for systems; artificial intelligence-based outlier prediction; machine learning in OpenFlow Network; and application of deep learning in blockchain enabled applications. This book is intended for a variety of readers from professional industries, organizations, and students.
541 _fUABC ;
_cPerpetuidad
650 0 _aTelecommunication.
650 0 _aData mining.
650 0 _aBusiness information services.
650 0 _aComputational intelligence.
650 1 4 _aCommunications Engineering, Networks.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aIT in Business.
650 2 4 _aComputational Intelligence.
700 1 _aPandey, Sarvesh.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aShanker, Udai.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSaravanan, Vijayalakshmi.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aRamalingam, Rajinikumar.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031155413
776 0 8 _iPrinted edition:
_z9783031155437
776 0 8 _iPrinted edition:
_z9783031155444
830 0 _aEAI/Springer Innovations in Communication and Computing,
_x2522-8609
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-15542-0
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cLIBRO_ELEC
999 _c261630
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