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001437035 001__ 1437035
001437035 003__ OCoLC
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001437035 0247_ $$a10.1007/978-3-030-72588-4$$2doi
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001437035 049__ $$aISEA
001437035 050_4 $$aQ335
001437035 08204 $$a006.3$$223
001437035 24500 $$aIntelligent systems in big data, semantic web and machine learning /$$cNoreddine Gherabi, Janusz Kacprzyk, editors.
001437035 260__ $$aCham :$$bSpringer,$$c2021.
001437035 300__ $$a1 online resource
001437035 336__ $$atext$$btxt$$2rdacontent
001437035 337__ $$acomputer$$bc$$2rdamedia
001437035 338__ $$aonline resource$$bcr$$2rdacarrier
001437035 347__ $$atext file
001437035 347__ $$bPDF
001437035 4901_ $$aAdvances in intelligent systems and computing,$$x2194-5357 ;$$vv. 1344
001437035 5050_ $$aExperimental evaluation of proposed algorithm for identifying abnormal messages in SIP Network -- Smart tourism recommender system using semantic matching -- Data-Driven information filtering framework for dynamically hybrid job recommendation -- Semantic image analysis for automatic image annotation -- New method for data replication and reconstruction in distributed databases -- A distributed intrusion detection approach based on machine learning technique for a cloud security -- Cb2Onto: OWL ontology learning approach from couchbase -- Data profling over big data area -- A Survey of big data profiling: state-of-the-Art, use cases and challenges -- Generalization of the fuzzy conformable differentiability with application to fuzzy fractional differential equations.
001437035 506__ $$aAccess limited to authorized users.
001437035 520__ $$aThis book describes important methodologies, tools and techniques from the fields of artificial intelligence, basically those which are based on relevant conceptual and formal development. The coverage is wide, ranging from machine learning to the use of data on the Semantic Web, with many new topics. The contributions are concerned with machine learning, big data, data processing in medicine, similarity processing in ontologies, semantic image analysis, as well as many applications including the use of machine leaning techniques for cloud security, artificial intelligence techniques for detecting COVID-19, the Internet of things, etc. The book is meant to be a very important and useful source of information for researchers and doctoral students in data analysis, Semantic Web, big data, machine learning, computer engineering and related disciplines, as well as for postgraduate students who want to integrate the doctoral cycle.
001437035 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed June 4, 2021).
001437035 650_0 $$aArtificial intelligence.
001437035 650_0 $$aBig data.
001437035 650_0 $$aSemantic Web.
001437035 650_6 $$aIntelligence artificielle.
001437035 650_6 $$aDonnées volumineuses.
001437035 650_6 $$aWeb sémantique.
001437035 655_0 $$aElectronic books.
001437035 7001_ $$aGherabi, Noreddine,$$eeditor.
001437035 7001_ $$aKacprzyk, Janusz,$$eeditor.
001437035 77608 $$iPrint version:$$tIntelligent systems in big data, semantic web and machine learning.$$dCham : Springer, 2021$$z3030725871$$z9783030725877$$w(OCoLC)1240491705
001437035 830_0 $$aAdvances in intelligent systems and computing ;$$v1344.$$x2194-5357
001437035 852__ $$bebk
001437035 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-72588-4$$zOnline Access$$91397441.1
001437035 909CO $$ooai:library.usi.edu:1437035$$pGLOBAL_SET
001437035 980__ $$aBIB
001437035 980__ $$aEBOOK
001437035 982__ $$aEbook
001437035 983__ $$aOnline
001437035 994__ $$a92$$bISE