Real-Time Deep Learning-Based Anomaly Detection Approach for Multivariate Data Streams with Apache Flink
Gespeichert in:
Veröffentlicht in: | International Workshop on Big Data-Driven Edge Cloud Services (1. : 2021 : Online) ICWE 2021 Workshops |
---|---|
1. Verfasser: | |
Weitere Verfasser: | , |
Pages: | 2021 |
Format: | UnknownFormat |
Sprache: | eng |
Veröffentlicht: |
2022
|
Schlagworte: | |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Titel | Jahr | Verfasser |
---|---|---|
Learning-Based Activation of Energy Harvesting Sensors for Fresh Data Acquisition | 2022 | Yun, Sinwoong |
Putting Data Science Pipelines on the Edge | 2022 | Akoglu, Ali |
DNN Model Deployment on Distributed Edges | 2022 | Cho, Eunho |
Real-Time Deep Learning-Based Anomaly Detection Approach for Multivariate Data Streams with Apache Flink | 2022 | Ha, Tae Wook |
Towards Proactive Context-Aware IoT Environments by Means of Federated Learning | 2022 | Rentero-Trejo, Rubén |
Towards Seamless IoT Device-Edge-Cloud Continuum: Software Architecture Options of IoT Devices Revisited | 2022 | Taivalsaari, Antero |
Exploiting Triangle Patterns for Heterogeneous Graph Attention Network | 2022 | Yi, Eunjeong |
A Novel Approach to Dynamic Pricing for Cloud Computing Through Price Band Prediction | 2022 | Rane, Dheeraj |