Sparkanalyzer : Instrumentación de Apache Spark
, 2016 En este proyecto hemos desarrollado un mecanismo de instrumentación que se integra con Apache Spark para analizar el comportamiento de un cluster Spark a bajo nivel, con técnicas de instrumentación mediante el framework Pintool.En aquest projecte hem ...
García Sánchez, José Manuel
core
Efficient Data Processing with Apache Spark
Apache Spark has revolutionized the landscape of big data processing by harnessing the power of distributed computing to handle massive datasets. However, as Spark applications increase in size and complexity, effective performance tuning becomes ...
Ranjith Martha
core +1 more source
Hi-LASSO: High-performance python and apache spark packages for feature selection with high-dimensional data. [PDF]
PLoS One, 2022 Jo J, Jung S, Park J, Kim Y, Kang M.
europepmc +1 more source
Hypertriglyceridemia: Causes, Consequences, Diagnosis, and Management
MedComm, Volume 7, Issue 10, October 2026.Hypertriglyceridemia (HTG) arises from the interplay between genetic susceptibility and secondary or precipitating factors, leading to dysregulated triglyceride‐rich lipoprotein (TRL) metabolism. Increased TRL production and impaired clearance promote distinct risk phenotypes: accumulation of apolipoprotein B(apoB)‐containing TRL remnants contributes ...
Shanshan Qi +9 more
wiley +1 more source
Optimizing Apache Spark MLlib: Predictive Performance of Large-Scale Models for Big Data Analytics
AlgorithmsIn 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 +2 more
doaj +1 more source
Apache Spark and Deep Learning Models for High-Performance Network Intrusion Detection Using CSE-CIC-IDS2018. [PDF]
Comput Intell Neurosci, 2022 Hagar AA, Gawali BW.
europepmc +1 more source
Predictive Models for Medical Adhesive‐Related Skin Injury: A Systematic Review and Meta‐Analysis
Nursing Open, Volume 13, Issue 10, October 2026.ABSTRACT Aims To systematically evaluate existing prediction models for medical adhesive‐related skin injury and assess their potential contribution to nurse‐led risk assessment and preventive care planning. Methods A systematic review and meta‐analysis was conducted. Seven databases were searched from inception to 25 October 2025.
Yujing Gu +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 MathematicsTraditional 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 +1 more
doaj +1 more source
Predicting Chronic Kidney Disease Using Hybrid Machine Learning Based on Apache Spark. [PDF]
Comput Intell Neurosci, 2022 Abdel-Fattah MA, Othman NA, Goher N.
europepmc +1 more source
Therapeutic Apheresis and Dialysis, Volume 30, Issue 5, Page 690-697, October 2026.Abstract Introduction This study aims to investigate patient factors affecting the rate of plasma volume target attained in hypertriglyceridemic pancreatitis (HTG‐AP) patients undergoing double filtration plasmapheresis (DFPP). Methods A retrospective analysis of 82 HTG‐AP‐interpreted patients from January 2019 to April 2024 compared target plasma ...
Hui Zhang, Chenqiang Zhu, Yunlong Wu
wiley +1 more source