Matches in SemOpenAlex for { <https://semopenalex.org/work/W2781910331> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W2781910331 endingPage "652" @default.
- W2781910331 startingPage "632" @default.
- W2781910331 abstract "Big Data analysis refers to advanced and efficient data mining and machine learning techniques applied to large amount of data. Research work and results in the area of Big Data analysis are continuously rising, and more and more new and efficient architectures, programming models, systems, and data mining algorithms are proposed. Taking into account the most popular programming models for Big Data analysis (MapReduce, Directed Acyclic Graph, Message Passing, Bulk Synchronous Parallel, Workflow and SQL-like), we analysed the features of the main systems implementing them. Such systems are compared using four classification criteria (i.e. level of abstraction, type of parallelism, infrastructure scale and classes of applications) for helping developers and users to identify and select the best solution according to their skills, hardware availability, productivity and application needs." @default.
- W2781910331 created "2018-01-12" @default.
- W2781910331 creator A5028177734 @default.
- W2781910331 creator A5059993161 @default.
- W2781910331 creator A5084175921 @default.
- W2781910331 date "2018-01-05" @default.
- W2781910331 modified "2023-10-14" @default.
- W2781910331 title "Programming models and systems for Big Data analysis" @default.
- W2781910331 cites W1123101191 @default.
- W2781910331 cites W1168671556 @default.
- W2781910331 cites W1488107040 @default.
- W2781910331 cites W2004206314 @default.
- W2781910331 cites W2012915974 @default.
- W2781910331 cites W2033607782 @default.
- W2781910331 cites W2045271686 @default.
- W2781910331 cites W2061387982 @default.
- W2781910331 cites W2077579791 @default.
- W2781910331 cites W2081930221 @default.
- W2781910331 cites W2082302018 @default.
- W2781910331 cites W2084568010 @default.
- W2781910331 cites W2094969361 @default.
- W2781910331 cites W2103857177 @default.
- W2781910331 cites W2122725987 @default.
- W2781910331 cites W2155882878 @default.
- W2781910331 cites W2161645441 @default.
- W2781910331 cites W2173213060 @default.
- W2781910331 cites W2296407087 @default.
- W2781910331 cites W2472963716 @default.
- W2781910331 cites W2475367951 @default.
- W2781910331 cites W2480284962 @default.
- W2781910331 cites W2549264933 @default.
- W2781910331 cites W2591400630 @default.
- W2781910331 cites W2911625174 @default.
- W2781910331 cites W4214717809 @default.
- W2781910331 cites W4246367117 @default.
- W2781910331 doi "https://doi.org/10.1080/17445760.2017.1422501" @default.
- W2781910331 hasPublicationYear "2018" @default.
- W2781910331 type Work @default.
- W2781910331 sameAs 2781910331 @default.
- W2781910331 citedByCount "39" @default.
- W2781910331 countsByYear W27819103312012 @default.
- W2781910331 countsByYear W27819103312018 @default.
- W2781910331 countsByYear W27819103312019 @default.
- W2781910331 countsByYear W27819103312020 @default.
- W2781910331 countsByYear W27819103312021 @default.
- W2781910331 countsByYear W27819103312022 @default.
- W2781910331 countsByYear W27819103312023 @default.
- W2781910331 crossrefType "journal-article" @default.
- W2781910331 hasAuthorship W2781910331A5028177734 @default.
- W2781910331 hasAuthorship W2781910331A5059993161 @default.
- W2781910331 hasAuthorship W2781910331A5084175921 @default.
- W2781910331 hasConcept C111472728 @default.
- W2781910331 hasConcept C11413529 @default.
- W2781910331 hasConcept C124101348 @default.
- W2781910331 hasConcept C124304363 @default.
- W2781910331 hasConcept C138885662 @default.
- W2781910331 hasConcept C177212765 @default.
- W2781910331 hasConcept C199360897 @default.
- W2781910331 hasConcept C34165917 @default.
- W2781910331 hasConcept C41008148 @default.
- W2781910331 hasConcept C74197172 @default.
- W2781910331 hasConcept C75684735 @default.
- W2781910331 hasConcept C77088390 @default.
- W2781910331 hasConceptScore W2781910331C111472728 @default.
- W2781910331 hasConceptScore W2781910331C11413529 @default.
- W2781910331 hasConceptScore W2781910331C124101348 @default.
- W2781910331 hasConceptScore W2781910331C124304363 @default.
- W2781910331 hasConceptScore W2781910331C138885662 @default.
- W2781910331 hasConceptScore W2781910331C177212765 @default.
- W2781910331 hasConceptScore W2781910331C199360897 @default.
- W2781910331 hasConceptScore W2781910331C34165917 @default.
- W2781910331 hasConceptScore W2781910331C41008148 @default.
- W2781910331 hasConceptScore W2781910331C74197172 @default.
- W2781910331 hasConceptScore W2781910331C75684735 @default.
- W2781910331 hasConceptScore W2781910331C77088390 @default.
- W2781910331 hasIssue "6" @default.
- W2781910331 hasLocation W27819103311 @default.
- W2781910331 hasOpenAccess W2781910331 @default.
- W2781910331 hasPrimaryLocation W27819103311 @default.
- W2781910331 hasRelatedWork W1535388361 @default.
- W2781910331 hasRelatedWork W1965696806 @default.
- W2781910331 hasRelatedWork W1996486509 @default.
- W2781910331 hasRelatedWork W2368437561 @default.
- W2781910331 hasRelatedWork W2384869196 @default.
- W2781910331 hasRelatedWork W2757878576 @default.
- W2781910331 hasRelatedWork W2975180626 @default.
- W2781910331 hasRelatedWork W3126107662 @default.
- W2781910331 hasRelatedWork W3160136729 @default.
- W2781910331 hasRelatedWork W1966205858 @default.
- W2781910331 hasVolume "34" @default.
- W2781910331 isParatext "false" @default.
- W2781910331 isRetracted "false" @default.
- W2781910331 magId "2781910331" @default.
- W2781910331 workType "article" @default.