An end-to-end ranking system based on customers reviews: Integrating semantic mining and MCDM techniques
Considering customer reviews is one of the challenges of real-world decision models. These
reviews can be on different platforms and include a large amount of information and may …
reviews can be on different platforms and include a large amount of information and may …
Elastic stack and GRAPHYP knowledge graph of web usage: a win–win workflow for semantic interoperability in decision making
The use of Elastic Stack (ELK) solutions and Knowledge Graphs (KGs) has attracted a lot of
attention lately, with promises of vastly improving business performance based on new …
attention lately, with promises of vastly improving business performance based on new …
Graph neural networks for detecting anomalies in scientific workflows
Identifying and addressing anomalies in complex, distributed systems can be challenging for
reliable execution of scientific workflows. We model these workflows as directed acyclic …
reliable execution of scientific workflows. We model these workflows as directed acyclic …
Flow-Bench: A dataset for computational workflow anomaly detection
A computational workflow, also known as workflow, consists of tasks that must be executed
in a specific order to attain a specific goal. Often, in fields such as biology, chemistry …
in a specific order to attain a specific goal. Often, in fields such as biology, chemistry …
Advancing anomaly detection in computational workflows with active learning
A computational workflow, also known as workflow, consists of tasks that are executed in a
certain order to attain a specific computational campaign. Computational workflows are …
certain order to attain a specific computational campaign. Computational workflows are …
Evaluation of Elasticsearch Ecosystem Including Machine Learning Capabilities.
Earlier methods of signature based threat detection are no longer enough to detect threats.
Fencing your network and access is also ineffective in stopping malicious actors because …
Fencing your network and access is also ineffective in stopping malicious actors because …
Low-level I/O monitoring for scientific workflows
J Witzke, A Lößer, V Bountris, F Schintke… - arXiv preprint arXiv …, 2024 - arxiv.org
While detailed resource usage monitoring is possible on the low-level using proper tools,
associating such usage with higher-level abstractions in the application layer that actually …
associating such usage with higher-level abstractions in the application layer that actually …
Workflow anomaly detection with graph neural networks
Reliable execution of scientific workflows is a fundamental concern in computational
campaigns. Therefore, detecting and diagnosing anomalies are both important and …
campaigns. Therefore, detecting and diagnosing anomalies are both important and …
A Workflow Roofline Model for End-to-End Workflow Performance Analysis
As next-generation experimental and observational instruments for scientific research are
being deployed with higher resolutions and faster data capture rates, the fundamental …
being deployed with higher resolutions and faster data capture rates, the fundamental …
[PDF][PDF] A Cloud Pub/Sub Architecture to Integrate Google Big Query with Elasticsearch using Cloud Functions
SL Gutiérrez, YP Vera - International Journal of …, 2022 - pdfs.semanticscholar.org
In recent years, the need for analytics on large volumes of data has become increasingly
important. It turns out to be extremely useful in making strategic decisions about different …
important. It turns out to be extremely useful in making strategic decisions about different …