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dc.contributor.editorTalia, Domenico
dc.contributor.editorMarozzo, Fabrizio
dc.date.accessioned2023-07-14T14:32:25Z
dc.date.available2023-07-14T14:32:25Z
dc.date.issued2023
dc.identifierONIX_20230714_9783036580005_134
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/101435
dc.description.abstractThe use of advanced and scalable algorithms, along with parallel programming frameworks and high-performance computers, is commonly used to solve Big Data problems and obtain valuable information and learning processes in a reasonable time. This Special Issue includes high-quality research papers in the fields of big data, cloud-based data analysis, and machine learning systems. In particular, wide-ranging surveys and advanced research papers are included, focusing both on aspects relating to big data (e.g., frameworks for big data analysis or systems for big data management) and on the use of big data in application areas (e.g., big data from social media or big data from streams).
dc.languageEnglish
dc.subject.classificationthema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industriesen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer scienceen_US
dc.subject.otherbig data
dc.subject.othercloud computing
dc.subject.otherscalable computing systems
dc.subject.otherHigh-performance computing
dc.subject.otherdata analysis
dc.subject.othermachine learning systems
dc.subject.otherbig data applications
dc.titleReview Papers in Big Data, Cloud-Based Data Analysis and Learning Systems
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-8001-2
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036580005
oapen.relation.isbn9783036580012
oapen.pages224
oapen.place.publicationBasel


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