We use anomaly detection to automatically find patterns in seismic data that may signal dangerous mass-movement events such as landslides, glacier collapses, or debris flows. Because such movements are rare, our approach reduces the amount of data that must be analyzed to find them, whether by experts, semi-supervised methods or clustering procedures. We demonstrate the usefulness of our approach by mining for mass movements in Switzerland and Greenland.