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A mini-review of machine learning in big data analytics: Applications, challenges, and prospects
The availability of digital technology in the hands of every citizenry worldwide makes an
available unprecedented massive amount of data. The capability to process these gigantic …
available unprecedented massive amount of data. The capability to process these gigantic …
[HTML][HTML] Adoption of big data analytics for energy pipeline condition assessment
Due to complexity, the oil and gas industry employs various sensors to collect data for
analysis to maintain the safety and integrity of pipelines and associated infrastructure. There …
analysis to maintain the safety and integrity of pipelines and associated infrastructure. There …
China's agricultural machinery operation big data system
C Wu, D Li, X Zhang, J Pan, L Quan, L Yang… - … and Electronics in …, 2023 - Elsevier
Agricultural machinery operations are mainly performed by cross-regional socialized
services in China. It is necessary to take advantage of national data system to implement …
services in China. It is necessary to take advantage of national data system to implement …
[HTML][HTML] The AI-Powered Evolution of Big Data
The rapid advancement of artificial intelligence (AI), coupled with the global rollout of 4G and
5G networks, has fundamentally transformed the Big Data landscape, redefining data …
5G networks, has fundamentally transformed the Big Data landscape, redefining data …
Ten quick tips for bioinformatics analyses using an Apache Spark distributed computing environment
Some scientific studies involve huge amounts of bioinformatics data that cannot be analyzed
on personal computers usually employed by researchers for day-to-day activities but rather …
on personal computers usually employed by researchers for day-to-day activities but rather …
Detection of quality of service degradation on multi-tenant containerized services
Computational services are progressively migrating to container-based solutions due to their
faster provision time and lower resource allocation overhead. Service providers rely on …
faster provision time and lower resource allocation overhead. Service providers rely on …
A New Big Data Processing Framework for the Online Roadshow
The Online Roadshow, a new type of web application, is a digital marketing approach that
aims to maximize contactless business engagement. It leverages web computing to conduct …
aims to maximize contactless business engagement. It leverages web computing to conduct …
Runtime prediction of big data jobs: performance comparison of machine learning algorithms and analytical models
Due to the rapid growth of available data, various platforms offer parallel infrastructure that
efficiently processes big data. One of the critical issues is how to use these platforms to …
efficiently processes big data. One of the critical issues is how to use these platforms to …
KNN normalized optimization and platform tuning based on hadoop
C Ma, Y Chi - IEEE Access, 2022 - ieeexplore.ieee.org
Big data has become part of the life for many people. The data about people's life are being
continously collected, analysized and applied as our society progresses into the big data …
continously collected, analysized and applied as our society progresses into the big data …
A parallelization model for performance characterization of Spark Big Data jobs on Hadoop clusters
This article proposes a new parallel performance model for different workloads of Spark Big
Data applications running on Hadoop clusters. The proposed model can predict the runtime …
Data applications running on Hadoop clusters. The proposed model can predict the runtime …