Results 101 to 110 of about 20,810 (198)

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

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

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

A Bottom-up k-anonymization approach for big data publishing

ITEGAM-JETIA
As governments and other organizations share larger datasets, keeping individual information private has become increasingly difficult to solve. When publishing the data, data anonymization models like k-anonymity and l-diversity are employed to ensure ...
Abderrahmane Saidi, Salheddine Kabou, Imad Eddine Kimmi, Laid Gasmi   +3 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

Real-Time Heart Arrhythmia Detection Using Apache Spark Structured Streaming. [PDF]

J Healthc Eng, 2021
Ilbeigipour S, Albadvi A, Akhondzadeh Noughabi E.   +2 more
europepmc   +1 more source

Scalable feature subset selection for big data using parallel hybrid evolutionary algorithm based wrapper under apache spark environment. [PDF]

Cluster Comput, 2023
Vivek Y, Ravi V, Krishna PR.
europepmc   +1 more source

Machine learning in big data: A performance benchmarking study of Flink-ML and Spark MLlib

Applied Computer Science
Machine learning (ML) in big data frameworks plays a critical role in real-time analytics, decision making, and predictive modeling. Among the most prominent ML libraries for large-scale data processing are Flink-ML, the machine learning extension of ...
Messaoud MEZATI, Ines AOURIA
doaj   +1 more source

A hybrid multi-objective whale optimization algorithm for analyzing microarray data based on Apache Spark. [PDF]

PeerJ Comput Sci, 2021
AbdelAziz AM, Soliman T, Ghany KKA, Sewisy A.   +3 more
europepmc   +1 more source

Sentiment analysis of trending tweets using Spark NLP and deep learning: a benchmark study of CNN vs transformer models

Радіоелектронні і комп'ютерні системи
This study investigates the implementation of different sentiment analysis models, exploring their theoretical foundations, robust evaluation criteria, and significant findings, and integrating natural language processing methods to preprocess data ...
Chaimaa Benyamani, Hassan Badi, Imad Badi, Aziz Khamjane   +3 more
doaj   +1 more source