Results 31 to 40 of about 142,887 (185)
A distributed computing model for big data anonymization in the networks.
PLoS ONE, 2023 Recently big data and its applications had sharp growth in various fields such as IoT, bioinformatics, eCommerce, and social media. The huge volume of data incurred enormous challenges to the architecture, infrastructure, and computing capacity of IT ...
Farough Ashkouti, Keyhan Khamforoosh
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, 2023 SPARK: Scholarship, Publishing, Arts, Research, and Knowledge Institutional Repositories (IRs) like SPARK showcase and preserve a university\u27s scholarship and creative work under one umbrella.
Werner, Kimberly +3 more
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Laurelin: Java-native ROOT I/O for Apache Spark [PDF]
EPJ Web of Conferences, 2021 Apache Spark[1] is one of the predominant frameworks in the big data space, providing a fully-functional query processing engine, vendor support for hardware accelerators, and performant integrations with scientific computing libraries. One difficulty in
Melo Andrew, Shadura Oksana
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Privacy-Preserving Machine Learning on Apache Spark
IEEE Access, 2023 The adoption of third-party machine learning (ML) cloud services is highly dependent on the security guarantees and the performance penalty they incur on workloads for model training and inference.
Claudia V. Brito +4 more
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Performance Analysis of the Distributed Support Vector Machine Algorithm Using Spark for Predicting Flight Delays [PDF]
E3S Web of Conferences, 2023 In big data analysis requires powerful machine learning frameworks, strategies, and environments to analyze data at scale. Therefore, Apache Spark is used as a cluster computing framework to process big data in parallel and can run on multiple clusters ...
Khotimah Husnul +4 more
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Evaluasi Kinerja MLLIB APACHE SPARK pada Klasifikasi Berita Palsu dalam Bahasa Indonesia
Jurnal Teknologi Informasi dan Ilmu Komputer, 2022 Machine learning digunakan untuk menganalisis, mengklasifikasikan, atau memprediksi data. Untuk melakukan tugas dari machine learning diperlukan alat bantu dengan kinerja serta lingkungan yang kuat demi mendapatkan akurasi dan efisiensi waktu yang baik.
Antonius Angga Kurniawan +1 more
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Time series analysis with apache spark and its applications to energy informatics
Energy Informatics, 2018 In energy economy forecasts of different time series are rudimentary. In this study, a prediction for the German day-ahead spot market is created with Apache Spark and R.
Cornelia Krome, Volker Sander
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awesome-spark/spark-gotchas: v.0.0.1
, 2016 Spark Gotchas.
Elie A., Maciej Szymkiewicz
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CLASSIFICATION OF BIG POINT CLOUD DATA USING CLOUD COMPUTING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Point cloud data plays an significant role in various geospatial applications as it conveys plentiful information which can be used for different types of analysis.
K. Liu, J. Boehm
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Diaspore: Diagnosing Performance Interference in Apache Spark
IEEE Access, 2021 Apache Spark is being increasingly used to execute big data applications on cluster computing platforms. To increase system utilization, cluster operators often configure their clusters such that multiple co-located applications can simultaneously share ...
Sarah Shah +2 more
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