Results 111 to 120 of about 142,887 (185)
TIie lpark Number 3 Volume 6 CENTRAL PIEDMONT COMMUNITY COLLEGE Wednesday, November 25, 1981 Taylor Hall 102 Charlotte, North Carolina (704) 373-6751, 373-6665 Changer causes problems by Victor Alexander Spark Staff Writer If you've been one of those ...
Spark Staff
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MR3: An execution framework for hive and spark
Resource utilization in multi-tenant environments remains a critical challenge for distributed data processing frameworks such as Apache Hive and Apache Spark.
Seonggon Namgung, Sungwoo Park
doaj +1 more source
An Overview of Machine Learning Methods in Apache Spark
U ovome završnom radu opisane su najčešće korištene metode strojnog učenja na platformi Apache Spark pomoću knjižnice MLlib. Opisana je platforma Apache Spark i njegove knjižnice.
Radelić, Nikola
core
Real-Time Heart Arrhythmia Detection Using Apache Spark Structured Streaming. [PDF]
Ilbeigipour S +2 more
europepmc +1 more source
ABSTRACT Background Glutamate is the main excitatory neurotransmitter in the brain, and extracellular levels of glutamate and glycerol (a breakdown product of cell damage) increase after severe acute brain injury. Previous studies report that increased intracerebral glutamate—measured using cerebral microdialysis (CMD)—is associated with unfavorable ...
Trine Hjorslev Andreasen +7 more
wiley +1 more source
nlesc-dirac/sagecal-spark-docker-swarm v0.1
Apache Spark cluster in Docker ...
Faruk D.
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A Bottom-up k-anonymization approach for big data publishing
As governments and other organizations share larger datasets, keeping individual information private has become increasingly difficult to solve. When publishing the data, data anonymization models like k-anonymity and l-diversity are employed to ensure ...
Abderrahmane Saidi +3 more
doaj +1 more source
Scalable feature subset selection for big data using parallel hybrid evolutionary algorithm based wrapper under apache spark environment. [PDF]
Vivek Y, Ravi V, Krishna PR.
europepmc +1 more source
Auto-Optimering av Apache Spark-parametrar för bearbetning av stora datamängder
Apache Spark is a popular open-source distributed processing framework that enables efficient processing of large amounts of data. Apache Spark has a large number of configuration parameters that are strongly related to performance.
Zhou, Shidi
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TIie lparll Vol. 7, No. 2 Feb. 28, 1983 CENTRAL PIEDMONT COMMUNITY COLLEGE Taylor Hall I 02 Charlotte, North Carolina (704) 373-6751, 373-6665 THE BELK BUILDING ...
Spark Staff
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