Results 61 to 70 of about 36,780 (203)
Canadian Journal of Statistics, Volume 53, Issue 4, December 2025.Abstract Modern longitudinal data from wearable devices consist of biological signals at high‐frequency time points. Distributed statistical methods have emerged as a powerful tool to overcome the computational burden of estimation and inference with large data, but methodology for distributed functional regression remains limited.
Cole Manschot, Emily C. Hector
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Journal of Intelligent Systems, 2022 Recently, big data analytics have gained significant attention in healthcare industry due to generation of massive quantities of data in various forms such as electronic health records, sensors, medical imaging, and pharmaceutical details.
Bhukya Hanumanthu, Manchala Sadanandam
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A Systematic Overview of Caching Mechanisms to Improve Hadoop Performance
Concurrency and Computation: Practice and Experience, Volume 37, Issue 25-26, 30 November 2025.ABSTRACT In today's distributed computing environments, the rapid generation of large‐scale data from diverse sources poses significant challenges in terms of storage, management, and processing, particularly for traditional relational databases. Hadoop has emerged as a widely adopted framework for handling such data through parallel processing across ...
Rana Ghazali, Douglas G. Down
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Big Data Analytics for Healthcare Industry: Impact, Applications, and Tools
Big Data Mining and Analytics, 2019 In recent years, huge amounts of structured, unstructured, and semi-structured data have been generated by various institutions around the world and, collectively, this heterogeneous data is referred to as big data.
Sunil Kumar, Maninder Singh
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MOON: MapReduce On Opportunistic eNvironments [PDF]
, 2009 —MapReduce offers a flexible programming model for processing and generating large data sets on dedicated resources, where only a small fraction of such resources are every unavailable at any given time.
Archuleta, Jeremy +5 more
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A Pattern‐Referencing Model for Hourly Temperature Forecasting in Coastal Regions
Meteorological Applications, Volume 32, Issue 6, November/December 2025.A novel pattern‐referencing model forecasts hourly temperatures in Taiwan's southwestern coastal region. It robustly handles missing data, achieving high accuracy (MAE 0.323°C–0.539°C, RMSE 0.450°C–0.807°C) even during extreme weather, offering a practical solution for real‐time decision‐making.
Nan‐Jing Wu, Fan‐Hua Nan
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FCNB: Fuzzy Correlative Naive Bayes Classifier with MapReduce Framework for Big Data Classification
Journal of Intelligent Systems, 2018 The term “big data” means a large amount of data, and big data management refers to the efficient handling, organization, or use of large volumes of structured and unstructured data belonging to an organization.
Banchhor Chitrakant, Srinivasu N.
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2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2015 MapReduce is a commonly used framework for executing data-intensive jobs on distributed server clusters. We introduce a variant implementation of MapReduce, namely "Coded MapReduce", to substantially reduce the inter-server communication load for the shuffling phase of MapReduce, and thus accelerating its execution.
Li, Songze +2 more
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A post‐translocation genetic analysis of an endemic wingless grasshopper in urban environments
Conservation Science and Practice, Volume 7, Issue 10, October 2025.Translocations are increasingly used in conservation, yet invertebrate outcomes remain understudied. This study assessed genetic diversity in a recently translocated flightless grasshopper (Vandiemenella viatica), finding declines in heterozygosity and nucleotide diversity, alongside increased homozygosity in the F2 generation.
Hiromi Yagui +3 more
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MapReduce: within, outside, or on the side-by-side with parallel DBMSs?
Труды Института системного программирования РАН, 2018 The approaches of use of MapReduce technology together with analytical DBMSs are discussed. The paper considers approaches where one implements MapReduce within a kernel of a parallel DBMS, where MapReduce serves as a communication infrastructure of a ...
Sergey D. Kuznetsov.
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