Results 21 to 30 of about 142,887 (185)
Apache Spark ile Makine Öğrenmesi Destekli Diyabet Rahatsızlığı Tahmini
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2022 Diyabet rahatsızlığı, insan vücudunun organlarını etkileyen kritik sağlık sorunlarından biridir. Bu nedenle, diyabet, 21. yüzyılda küresel bir sağlık sorunu olarak kabul edilmektedir.
Emre Yıldırım, Ali Çalhan
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CHANGE DETECTION OF MOBILE LIDAR DATA USING CLOUD COMPUTING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Change detection has long been a challenging problem although a lot of research has been conducted in different fields such as remote sensing and photogrammetry, computer vision, and robotics. In this paper, we blend voxel grid and Apache Spark together
K. Liu, J. Boehm, C. Alis
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Performance Evaluation of Query Plan Recommendation with Apache Hadoop and Apache Spark
Mathematics, 2022 Access plan recommendation is a query optimization approach that executes new queries using prior created query execution plans (QEPs). The query optimizer divides the query space into clusters in the mentioned method.
Elham Azhir +3 more
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Implementing Apache Spark jobs execution and Apache Spark cluster creation for Openstack Sahara[1]
Труды Института системного программирования РАН, 2018 In this paper the problem of creating virtual clusters in clouds for big data analysis with Apache Hadoop and Apache Spark is discussed. Existing methods for Apache Spark clusters creation are described in this work.
A. . Aleksiyants +4 more
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Дослідження продуктивності кластера Apache Spark на платформі Azure для методів машинного навчання
Збірник наукових праць Харківського національного університету Повітряних Сил, 2020 Розглянуто та досліджено питання підвищення продуктивності застосування моделей та методів задач машинного навчання з використанням Apache Spark Azure HDInsight.
С.В. Мінухін
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Nexmark benchmarking analysis using Apache Spark [PDF]
, 2021 LAUREA MAGISTRALEApache Spark è uno dei più in rapida evoluzione e ampiamente utilizzato per i big data. Questa ricerca indaga lo stato della pratica nella tuta nexmark di Apache Spark sia in modalità batch che in streaming.
NEZAM, MOHAMAD
core
Jurnal Teknologi Informasi dan Ilmu Komputer, 2019 Apache Spark merupakan platform yang dapat digunakan untuk memproses data dengan ukuran data yang relatif besar (big data) dengan kemampuan untuk membagi data tersebut ke masing-masing cluster yang telah ditentukan konsep ini disebut dengan parallel ...
Aminudin Aminudin, Eko Budi Cahyono
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Optimization Techniques for a Distributed In-Memory Computing Platform by Leveraging SSD
Applied Sciences, 2021 In this paper, we present several optimization strategies that can improve the overall performance of the distributed in-memory computing system, “Apache Spark”.
June Choi +3 more
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The Apache Spark layered architecture.
, 2023 The colors are used only to distinguish the elements. From bottom to top, the first layer shows some of the most common storage options used by Apache Spark applications to store and retrieve external data: the local file system, the Apache Hadoop HDFS ...
Giuseppe Cattaneo (10642852) +2 more
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Deploying Apache Spark virtual clusters in cloud environments using orchestration technologies
Труды Института системного программирования РАН, 2018 Apache Spark is a framework providing fast computations on Big Data using MapReduce model. With cloud environments Big Data processing becomes more flexible since they allow to create virtual clusters on-demand. One of the most powerful open-source cloud
O. . Borisenko +2 more
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