Results 101 to 110 of about 22,068 (223)

Optimizing Apache Spark MLlib: Predictive Performance of Large-Scale Models for Big Data Analytics

Algorithms
In this study, we analyze the performance of the machine learning operators in Apache Spark MLlib for K-Means, Random Forest Regression, and Word2Vec. We used a multi-node Spark cluster along with collected detailed execution metrics computed from the ...
Leonidas Theodorakopoulos, Aristeidis Karras, George A. Krimpas   +2 more
doaj   +1 more source

ПРОСТОРНО - ВРЕМЕНСКИ ТИПОВИ И АНАЛИЗЕ ПОДАТАКА У BIG DATA ПАРАДИГМИ

AGG+, 2015
Модел за управљање великим серијама просторно-временских података имплементиран је на Apache Spark open-source платформи за складиштење и обраду великих серија података на дистрибуираним рачунарским системима формираним од комерцијално доступних радних ...
Младен Амовић, Миро Говедарица, Владимир Пајић, Славко Васиљевић   +3 more
doaj   +1 more source

Comparing Two Different Approaches in Big Data and Business Analysis for Churn Prediction with the Focus on How Apache Spark Employed [PDF]

, 2021
Mohammad Sina Kiarostami
openalex   +1 more source

Annual Reports to the ESA Council ESA 110th Annual Meeting July, 2025

The Bulletin of the Ecological Society of America, EarlyView.
wiley   +1 more source

Validation of PREdiction of DELIRium in ICu Patients (PRE‐DELIRIC) Among Patients With Severe Pneumonia: A Prospective Cohort Study

Nursing in Critical Care, Volume 31, Issue 2, March 2026.
ABSTRACT Background The PREdiction of DELIRium in ICu patients (PRE‐DELIRIC), an intensive care unit (ICU) delirium prediction tool, was developed in an international collaboration. However, its predictive ability is not well established among Chinese ICU patients with severe pneumonia (SP).
Chuanchuan Liu, Yunxian Wang, Yiying Luo, Yani Tian, Jie Mi   +4 more
wiley   +1 more source

Review of a Unified Real-Time IDS and Mitigation Framework Using Apache Spark

Al-Rafidain Journal of Computer Sciences and Mathematics
Traditional intrusion detection systems are being surpassed by the increasingly sophisticated cyber threats that modern networks face. The increasing scale and complexity of modern network environments, coupled with the evolving sophistication of cyber ...
Ammar Ahmed Abdullah, Dhuha Basheer Abdullah   +1 more
doaj   +1 more source

Optimización de Apache Spark

, 2021
Trabajando con Spark a menudo se presenta que el rendimiento obtenido es peor de lo esperado y son muchas las variables a tener en cuenta para abordarlo: una inadecuada configuración del clúster, tener un número correcto de particiones de los datos a procesar, la presencia de sesgo de datos, el formato de datos con los que se trabaja, el trabajo en ...
openaire   +1 more source

Impact of a Volunteer‐Delivered Spiritual Care Strategy on Preventing Post‐Intensive Care Syndrome‐Family in Relatives of Critically Ill ICU Patients: A Quasi‐Experimental Study

Nursing in Critical Care, Volume 31, Issue 2, March 2026.
ABSTRACT Background Family members of critically ill patients are at increased risk of developing psychological disorders after ICU discharge, a condition known as Post‐Intensive Care Syndrome‐Family (PICS‐F). Spiritual care (SC) interventions may reduce this burden, yet are rarely studied in this context.
Carolina Ruiz, Leyla Alegria, Patricia Olivares, Verónica Rojas, Paulina Taboada, Daniela Manríquez, Jan Bakker, Paula Repetto   +7 more
wiley   +1 more source

A new Apache Spark-based framework for big data streaming forecasting in IoT networks. [PDF]

J Supercomput, 2023
Fernández-Gómez AM, Gutiérrez-Avilés D, Troncoso A, Martínez-Álvarez F.   +3 more
europepmc   +1 more source

Beginning Apache Spark Using Azure Databricks [PDF]

, 2020
Robert Ilijason
openalex   +1 more source