Results 41 to 50 of about 48,436 (195)
Measurement: Sensors, 2023 Impairment and a substantial decline in the mobility, independence, and quality of life of an elderly person. In this regard, the current work suggests a novel IoT-based system that makes the use of low-power wireless sensing the networks, big data ...
Pravin Kulurkar +5 more
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Software analysis of scientific texts: comparative study of distributed computing frameworks
Радіоелектронні і комп'ютерні системиThe relevance of this study is related to the need for efficient analysis of scientific texts in the context of the growing amount of information.
Serik Altynbek +3 more
doaj +1 more source
Reservoir Computing Framework in Apache Flink [PDF]
, 2020 Zpracovávání datových proudů je populární metodou pro strojové učení díky potřebě analyzovat velké množství dat v reálném čase. Perspektivními se stávají škálovatelná řešení používající počítačové clustery a zpracovávání dat v reálném čase.
Hynek Noll
core
Machine learning in big data: A performance benchmarking study of Flink-ML and Spark MLlib
Applied Computer ScienceMachine 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
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BigData Analysis in Healthcare: Apache Hadoop , Apache spark and Apache Flink
Frontiers in Health Informatics, 2019 Introduction: Health care data is increasing. The correct analysis of such data will improve the quality of care and reduce costs. This kind of data has certain features such as high volume, variety, high-speed production, etc. It makes it impossible to analyze with ordinary hardware and software platforms. Choosing the right platform for managing this
Elham Nazari +2 more
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Reproducible Experiments for Comparing Apache Flink and Apache Spark on Public Clouds
CoRR, 2016 Big data processing is a hot topic in today's computer science world. There is a significant demand for analysing big data to satisfy many requirements of many industries. Emergence of the Kappa architecture created a strong requirement for a highly capable and efficient data processing engine. Therefore data processing engines such as Apache Flink and
Shelan Perera +2 more
openaire +2 more sources
Big Data Analytics Using Apache Flink for Cybercrime Forensics on X (formerly known as Twitter)
, 2023 The exponential growth of social media usage has led to massive data sharing, posing challenges for traditional systems in managing and analyzing such vast amounts of data.
Kakkepalya Puttaswamy, Manjunath
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Big Data in Cancer Genomics: Computational Foundations and Emerging Pathways for Precision Oncology
Computational and Systems Oncology, Volume 6, Issue 1, December 2026.ABSTRACT This review aims to explore the computational foundations of big data in cancer genomics and examine emerging pathways that support precision oncology and personalized cancer care. A narrative review approach was adopted to synthesize evidence from PubMed, Scopus, Web of Science, and IEEE Xplore.
Nur Vanu +8 more
wiley +1 more source
Apache Flink vs Apache Kafka Streams: Event Processing on multiple Time Windows
, 2023 Trabajo de Fin de Máster en Ingeniería Informática, Facultad de Informática UCM, Departamento de Sistemas Informáticos y Computación, Curso 2022/2023.En el mundo empresarial moderno el procesamiento de eventos en tiempo real toma cada día más importancia.
Velásquez Rodríguez, Erik Manuel
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Video2flink: Real-Time Video Partitioning in Apache Flink and the Cloud
SSRN Electronic Journal, 2022 AbstractVideo2Flink is a distributed highly scalable video processing system for bounded (i.e., stored) or unbounded (i.e., continuous) and real-time video streams with the same efficiency. It shows how complicated video processing tasks can be expressed and executed as pipelined data flows on Apache Flink, an open-source stream processing platform ...
Dimitrios Kastrinakis +1 more
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