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001454364 001__ 1454364
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001454364 020__ $$a9783031155420$$q(electronic bk.)
001454364 020__ $$a3031155424$$q(electronic bk.)
001454364 020__ $$z9783031155413
001454364 020__ $$z3031155416
001454364 0247_ $$a10.1007/978-3-031-15542-0$$2doi
001454364 035__ $$aSP(OCoLC)1368026578
001454364 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE
001454364 049__ $$aISEA
001454364 050_4 $$aQA76.9.B45
001454364 08204 $$a005.7$$223
001454364 08204 $$a621.382$$223
001454364 24500 $$aRole of data-intensive distributed computing systems in designing data solutions /$$cSarvesh Pandey, Udai Shanker, Vijayalakshmi Saravanan, Rajinikumar Ramalingam, editors.
001454364 264_1 $$aCham :$$bSpringer,$$c2022.
001454364 300__ $$a1 online resource (1 volume) :$$billustrations (black and white, and colour).
001454364 336__ $$atext$$btxt$$2rdacontent
001454364 337__ $$acomputer$$bc$$2rdamedia
001454364 338__ $$aonline resource$$bcr$$2rdacarrier
001454364 4901_ $$aEAI/Springer innovations in communication and computing
001454364 500__ $$aIncludes index.
001454364 5050_ $$aIntroduction -- One World One Identification Smart System -- Tiered Architectural View of IoT: Structural Analysis and Concerns -- Rethinking Real-Time Applications in the current big data perspective -- Accuracy of Machine Learning Algorithms in predicting Retinal Disease -- A Cloud Trustworthiness Assessment Algorithm -- Improving Security in IoT devices -- Data backup Techniques for Healthcare Systems -- Role of Distributed Mutual Exclusion Algorithm -- Anomaly detection system in health care system enabled in blockchain technology framework -- Artificial intelligence-based Outlier Prediction -- Machine Learning in OpenFlow Network -- Defense Machinery Against Sybil Attacks over Wireless Ad-hoc Network on IoT -- Decentralized application development for health care using smart contracts -- Role of IoT in Healthcare -- Improved Breast Cancer Classification Using K-Means & Logistic Regression -- Sentimental Analysis -- IoT and Smart city -- Blockchain technology-based applications -- Anomaly detection in cryptocurrencies framework -- Application of deep learning in blockchain enabled applications -- Conclusion.
001454364 506__ $$aAccess limited to authorized users.
001454364 520__ $$aThis book discusses the application of data systems and data-driven infrastructure in existing industrial systems in order to optimize workflow, utilize hidden potential, and make existing systems free from vulnerabilities. The book discusses application of data in the health sector, public transportation, the financial institutions, and in battling natural disasters, among others. Topics include real-time applications in the current big data perspective; improving security in IoT devices; data backup techniques for systems; artificial intelligence-based outlier prediction; machine learning in OpenFlow Network; and application of deep learning in blockchain enabled applications. This book is intended for a variety of readers from professional industries, organizations, and students.
001454364 588__ $$aDescription based on print version record.
001454364 650_0 $$aBig data$$xIndustrial applications.
001454364 650_0 $$aElectronic data processing$$xDistributed processing$$xIndustrial applications.
001454364 655_0 $$aElectronic books.
001454364 7001_ $$aPandey, Sarvesh,$$d1994-$$eeditor.$$1https://isni.org/isni/0000000496158071
001454364 7001_ $$aShanker, Udai,$$eeditor.
001454364 7001_ $$aSaravanan, Vijayalakshmi,$$eeditor.
001454364 7001_ $$aRamalingam, Rajinikumar,$$eeditor.
001454364 77608 $$iPrint version:$$tRole of data-intensive distributed computing systems in designing data solutions.$$dCham : Springer, 2022$$z9783031155413$$w(OCoLC)1348390072
001454364 830_0 $$aEAI/Springer innovations in communication and computing.
001454364 852__ $$bebk
001454364 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-15542-0$$zOnline Access$$91397441.1
001454364 909CO $$ooai:library.usi.edu:1454364$$pGLOBAL_SET
001454364 980__ $$aBIB
001454364 980__ $$aEBOOK
001454364 982__ $$aEbook
001454364 983__ $$aOnline
001454364 994__ $$a92$$bISE