Data stream treatment using sliding windows with MapReduce
Journal of Computer Science and Technology, 2016 Knowledge Discovery in Databases (KDD) techniques present limitations when the volume of data to process is very large. Any KDD algorithm needs to do several iterations on the complete set of data in order to carry out its work.
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Evaluating the suitability of mapreduce for surface temperature analysis codes [PDF]
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A Systematic Literature Review and Future Perspectives for Handling Big Data Analytics in COVID-19 Diagnosis. [PDF]
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Clustering Algorithm in English Language Learning Pattern Matching under Big Data Framework. [PDF]
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UniCon: A unified star-operation to efficiently find connected components on a cluster of commodity hardware. [PDF]
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STEAMEngine: Driving MapReduce provisioning in the cloud
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Big Data Analytics Using Cloud Computing Based Frameworks for Power Management Systems: Status, Constraints, and Future Recommendations. [PDF]
Sensors (Basel), 2023 Al-Jumaili AHA +4 more
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Traffic Flow Prediction and Analysis in Smart Cities Based on the WND-LSTM Model. [PDF]
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MapReduce based big data framework using associative Kruskal poly Kernel classifier for diabetic disease prediction. [PDF]
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