HPTMT Parallel Operators for High Performance Data Science and Data Engineering. [PDF]
Front Big Data, 2021 Abeykoon V +7 more
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Incremental windowed aggregations at Apache Flink
Summarization: Nowadays, stream data are produced at a constant and rapid pace, more and more applications attempt to use the streams in order to receive crucial decisions. This outcome can be achieved by using algorithms and data structures that effectively process large amounts of data.
Ντελμπιζης Αστεριος http://users.isc.tuc.gr/~antelmpizis +1 more
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Streaming Predictive Analytics on Apache Flink
, 2015 Dataanalys och predictive analytics drivs idag av storskaliga distribuerade distributioner av komplexa pipelines, guiding data cleaning, model training och utvärdering. Ett brett utbud av system och verktyg ger endast grundläggande abstractions (struktur) för att bygga sådana komplexa pipelines för databehandling i off-line läge, men det finns en ...
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A comparison on scalability for batch big data processing on Apache Spark and Apache Flink [PDF]
, 2017 core +1 more source
Opinion on "Artificial intelligence in sepsis early prediction and diagnosis using unstructured data in healthcare". [PDF]
Front ImmunolHe A, Xu L, Yang S.
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Design of a data processing method for the farmland environmental monitoring based on improved Spark components. [PDF]
Front Big Data, 2023 Tang R, Aridas NK, Talip MSA.
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Twitter data emotion analysis using Hadoop and metaheuristic optimized Graphical Neural Network. [PDF]
Front Artif IntellWang X, Li Y, Chen F.
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Real-Time Stream Data Anonymization via Dynamic Reconfiguration with <i>l</i>-Diversity-Enhanced SUHDSA. [PDF]
Sensors (Basel)Lee J, Kim S.
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Real-Time Heart Arrhythmia Detection Using Apache Spark Structured Streaming. [PDF]
J Healthc Eng, 2021 Ilbeigipour S +2 more
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WG-Storm: a resource-aware scheduler for distributed stream processing engines. [PDF]
PeerJ Comput SciAli R, Muhammad A, Aleem M, Shafiq O.
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