3 papers
cs.DB2023
A Semi-Automated Hybrid Schema Matching Framework for Vegetation Data Integration
Md Asif-Ur-Rahman, Bayzid Ashik Hossain, Michael Bewong +4
Integrating disparate and distributed vegetation data is critical for consistent and informed national policy development and management. Australia's National Vegetation Informatio…
cs.DB2023
FASTAGEDS: Fast Approximate Graph Entity Dependency Discovery
Guangtong Zhou, Selasi Kwashie, Yidi Zhang +5
This paper studies the discovery of approximate rules in property graphs. We propose a semantically meaningful measure of error for mining graph entity dependencies (GEDs) at almos…
cs.CR2023
OutCenTR: A novel semi-supervised framework for predicting exploits of vulnerabilities in high-dimensional datasets
Hadi Eskandari, Michael Bewong, Sabih ur Rehman
An ever-growing number of vulnerabilities are reported every day. Yet these vulnerabilities are not all the same; Some are more targeted than others. Correctly estimating the likel…