01879nam 2200373 450 991073434920332120230816074151.0(CKB)5470000002907817(NjHacI)995470000002907817(EXLCZ)99547000000290781720230816d2023 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierReview Papers in Big Data, Cloud-Based Data Analysis and Learning Systems /edited by Domenico Talia, Fabrizio Marozzo[Place of publication not identified] :MDPI - Multidisciplinary Digital Publishing Institute,2023.1 online resource (224 pages)3-0365-8001-8 The 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).Instructional systemsBig dataInstructional systems.Big data.005.7Talia DomenicoMarozzo FabrizioNjHacINjHaclBOOK9910734349203321Review Papers in Big Data, Cloud-Based Data Analysis and Learning Systems3400872UNINA