Thesis on avalanche prediction using One Class SVM
Your problem seems to belong to novelty detection in the general area of OCC problems.

So, the short answer is: yes. You can apply SVDD (Support Vector Data Description) method to get the smallest hypersphere containing samples in the dataset and then assess whether a new observation is an outlier or not.

Of course, the less representative your dataset is, the less accurate your classifier will be.