One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted consumer data. By combining ...

Abstract: The emergence of big data has completely changed the way data analysis is done. As a result, there is a pressing need for effective clustering algorithms that can handle large datasets from ...

Abstract: Clustering is an important unsupervised learning technique widely applied in data analysis and pattern recognition. Graph-based clustering methods have gained attention for their ability to ...