Prabhakar Kudva
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View article: A Scalable Space-efficient In-database Interpretability Framework for Embedding-based Semantic SQL Queries
A Scalable Space-efficient In-database Interpretability Framework for Embedding-based Semantic SQL Queries Open
AI-Powered database (AI-DB) is a novel relational database system that uses a self-supervised neural network, database embedding, to enable semantic SQL queries on relational tables. In this paper, we describe an architecture and implement…
View article: Learning Without Forgetting: A New Framework for Network Cyber Security Threat Detection
Learning Without Forgetting: A New Framework for Network Cyber Security Threat Detection Open
Progressive learning addresses the problem of incrementally learning new tasks without compromising the prediction accuracy of previously learned tasks. In the context of artificial neural networks, several algorithms exist for achieving t…
View article: Cryptomining Detection in Container Clouds Using System Calls and Explainable Machine Learning
Cryptomining Detection in Container Clouds Using System Calls and Explainable Machine Learning Open
The use of containers in cloud computing has been steadily increasing.With the emergence of Kubernetes, the management of applications inside containers (or pods) is simplified.Kubernetes allows automated actions like self-healing, scaling…
View article: Priolog: Mining Important Logs via Temporal Analysis and Prioritization
Priolog: Mining Important Logs via Temporal Analysis and Prioritization Open
Log analytics are a critical part of the operational management in today’s IT services. However, the growing software complexity and volume of logs make it increasingly challenging to mine useful insights from logs for problem diagnosis. I…