Results 91 to 100 of about 48,436 (195)

Tink:a temporal graph analytics library for Apache Flink [PDF]

, 2018
We introduce the Tink library for distributed temporal graph analytics. Increasingly, reasoning about temporal aspects of graph-structured data collections is an important aspect of analytics.
Pei, Yulong, George Fletcher, Fletcher, George H.L., Pechenizkiy, M Mykola, Pechenizkiy, Mykola, Pei, Y, Mykola Pechenizkiy, Lightenberg, Wouter, Wouter Lightenberg, Fletcher, George H.L.; id_orcid, Pechenizkiy, Mykola; id_orcid, Fletcher, GHL George, Yulong Pei   +12 more
core   +2 more sources

PatternStudio: A Neuro-Symbolic Framework for Dynamic and High-Throughput Complex Event Processing

IoT
Complex Event Processing (CEP) is essential for real-time analytics in domains such as industrial IoT, cybersecurity, and financial monitoring, yet CEP adoption is still hindered by the difficulty of authoring temporal rules and by rigid redeployment ...
Jesús Rosa-Bilbao
doaj   +1 more source

Analysis of integrated real-time decision support systems based on neural networks and low-structured data

Ìнформаційні технології та компʼютерна інженерія
The study aimed to analyse and substantiate effective methods for analysing inefficiently structured data using neural networks to provide operational decision support in complex environments.
M. Demchyna
doaj   +1 more source

Time series big data: a survey on data stream frameworks, analysis and algorithms. [PDF]

J Big Data, 2023
Almeida A, Brás S, Sargento S, Pinto FC.   +3 more
europepmc   +1 more source

Sensor Datastream Processing with Apache Flink Platform

, 2018
Obrada podataka se razvijala paralelno sa razvojem društva. Razvojem novih hardverskih komponenti, računalna obrada podataka postaje svakodnevno korištena u svim ljudskim djelatnostima.
Zorčić, Sara
core  

Eine smarte LED-Anzeige zur Visualisierung von IoT-Ereignissen mit Apache Flink [PDF]

, 2018
Diese Arbeit beschäftigt sich kritisch mit dem Framework Apache Flink. Dazu wird eine Beispielanwendung mit Flink geplant und realisiert, um einen Eindruck von der Arbeit mit Flink zu bekommen.
Wittler, Tim
core  

Dynamic Scaling With Just-in-Time Snapshot in Distributed Stream Processing Systems

IEEE Access
Stream processing systems are typically long-running and likely experience varying workloads over time. The systems may need to process an excessive amount of data at any time.
Takdir, Salman Ahmed Shaikh, Akiyoshi Matono, Hiroyuki Kitagawa, Toshiyuki Amagasa   +4 more
doaj   +1 more source

Cross-Modal Attention Networks for Multi-Modal Anomaly Detection in System Software

IEEE Open Journal of the Computer Society
Anomaly detection in system software traditionally relies on single-modal algorithms that analyze either discrete log events or continuous performance metrics in isolation, potentially missing complex anomalies that manifest across both modalities.
Suchuan Xing, Yihan Wang
doaj   +1 more source

Random testing based on temporal logic for Apache Flink [PDF]

, 2019
Facultad de Informática, Departamento de Sistemas Informáticos y Computación, Universidad Complutense de Madrid. Curso 2018/2019. El código de la aplicación está disponible en: https://github.com/Valcev/TFMActualmente, existen muy pocas alternativas para
Espinosa Victoria, Cristina Valentina
core   +1 more source

Artificial Intelligence driven fault detection and autonomous recovery in zero trust network architectures

Discover Artificial Intelligence
Zero-Trust Network Architectures (ZTNA) demand innovative cybersecurity mechanisms capable of adapting to more complex attacks and independently healing system failures with minimal human intervention.
Sami Morsi, Rajit Nair, Hasan Alkahtani, Sultan Ahmad, Theyazn H. H. Aldhyani, Hikmat A. M. Abdeljaber   +5 more
doaj   +1 more source