Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313141522> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W4313141522 endingPage "111" @default.
- W4313141522 startingPage "97" @default.
- W4313141522 abstract "Today’s world is a data-driven one, with data being produced in vast amounts as a result of the rapid growth of technology that permeates every aspect of our lives. New data processing techniques must be developed and refined over time to gain meaningful insights from this vast continuous volume of produced data in various forms. Machine learning technologies provide promising solutions and potential methods for processing large quantities of data and gaining value from it. This study conducts a literature review on the application of machine learning techniques in big data processing. It provides a general overview of machine learning algorithms and techniques, a brief introduction to big data, and a discussion of related works that have used machine learning techniques in a variety of sectors to process big amounts of data. The study also discusses the challenges and issues associated with the usage of machine learning for big data." @default.
- W4313141522 created "2023-01-06" @default.
- W4313141522 creator A5009332435 @default.
- W4313141522 creator A5035413119 @default.
- W4313141522 creator A5039401755 @default.
- W4313141522 creator A5059768779 @default.
- W4313141522 date "2022-01-01" @default.
- W4313141522 modified "2023-10-01" @default.
- W4313141522 title "A Survey of Machine Learning for Big Data Processing" @default.
- W4313141522 cites W1966799294 @default.
- W4313141522 cites W2004477678 @default.
- W4313141522 cites W2009332171 @default.
- W4313141522 cites W2012080288 @default.
- W4313141522 cites W2025263547 @default.
- W4313141522 cites W2093866254 @default.
- W4313141522 cites W2111730140 @default.
- W4313141522 cites W2159128662 @default.
- W4313141522 cites W2163922914 @default.
- W4313141522 cites W2165698076 @default.
- W4313141522 cites W2514470533 @default.
- W4313141522 cites W2576683119 @default.
- W4313141522 cites W2609731728 @default.
- W4313141522 cites W2798107014 @default.
- W4313141522 cites W2808119291 @default.
- W4313141522 cites W2929780565 @default.
- W4313141522 cites W2942047515 @default.
- W4313141522 cites W2942464894 @default.
- W4313141522 cites W2963390885 @default.
- W4313141522 cites W2964255619 @default.
- W4313141522 cites W2991722393 @default.
- W4313141522 cites W3004951597 @default.
- W4313141522 cites W3011249019 @default.
- W4313141522 cites W3041906494 @default.
- W4313141522 cites W3048358539 @default.
- W4313141522 cites W3083209654 @default.
- W4313141522 cites W3094948551 @default.
- W4313141522 cites W3118838092 @default.
- W4313141522 cites W3133892889 @default.
- W4313141522 doi "https://doi.org/10.32604/jbd.2022.028363" @default.
- W4313141522 hasPublicationYear "2022" @default.
- W4313141522 type Work @default.
- W4313141522 citedByCount "0" @default.
- W4313141522 crossrefType "journal-article" @default.
- W4313141522 hasAuthorship W4313141522A5009332435 @default.
- W4313141522 hasAuthorship W4313141522A5035413119 @default.
- W4313141522 hasAuthorship W4313141522A5039401755 @default.
- W4313141522 hasAuthorship W4313141522A5059768779 @default.
- W4313141522 hasBestOaLocation W43131415221 @default.
- W4313141522 hasConcept C111919701 @default.
- W4313141522 hasConcept C119857082 @default.
- W4313141522 hasConcept C121332964 @default.
- W4313141522 hasConcept C124101348 @default.
- W4313141522 hasConcept C136197465 @default.
- W4313141522 hasConcept C138827492 @default.
- W4313141522 hasConcept C154945302 @default.
- W4313141522 hasConcept C20556612 @default.
- W4313141522 hasConcept C2522767166 @default.
- W4313141522 hasConcept C41008148 @default.
- W4313141522 hasConcept C62520636 @default.
- W4313141522 hasConcept C75684735 @default.
- W4313141522 hasConcept C77088390 @default.
- W4313141522 hasConcept C98045186 @default.
- W4313141522 hasConceptScore W4313141522C111919701 @default.
- W4313141522 hasConceptScore W4313141522C119857082 @default.
- W4313141522 hasConceptScore W4313141522C121332964 @default.
- W4313141522 hasConceptScore W4313141522C124101348 @default.
- W4313141522 hasConceptScore W4313141522C136197465 @default.
- W4313141522 hasConceptScore W4313141522C138827492 @default.
- W4313141522 hasConceptScore W4313141522C154945302 @default.
- W4313141522 hasConceptScore W4313141522C20556612 @default.
- W4313141522 hasConceptScore W4313141522C2522767166 @default.
- W4313141522 hasConceptScore W4313141522C41008148 @default.
- W4313141522 hasConceptScore W4313141522C62520636 @default.
- W4313141522 hasConceptScore W4313141522C75684735 @default.
- W4313141522 hasConceptScore W4313141522C77088390 @default.
- W4313141522 hasConceptScore W4313141522C98045186 @default.
- W4313141522 hasIssue "2" @default.
- W4313141522 hasLocation W43131415221 @default.
- W4313141522 hasOpenAccess W4313141522 @default.
- W4313141522 hasPrimaryLocation W43131415221 @default.
- W4313141522 hasRelatedWork W1543687422 @default.
- W4313141522 hasRelatedWork W2892244564 @default.
- W4313141522 hasRelatedWork W2997869646 @default.
- W4313141522 hasRelatedWork W3014300295 @default.
- W4313141522 hasRelatedWork W3215678666 @default.
- W4313141522 hasRelatedWork W4231725381 @default.
- W4313141522 hasRelatedWork W4281783369 @default.
- W4313141522 hasRelatedWork W4297496174 @default.
- W4313141522 hasRelatedWork W997111777 @default.
- W4313141522 hasRelatedWork W2737538696 @default.
- W4313141522 hasVolume "4" @default.
- W4313141522 isParatext "false" @default.
- W4313141522 isRetracted "false" @default.
- W4313141522 workType "article" @default.