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cs.LG2022
SECLEDS: Sequence Clustering in Evolving Data Streams via Multiple Medoids and Medoid Voting
Azqa Nadeem, Sicco Verwer
Sequence clustering in a streaming environment is challenging because it is computationally expensive, and the sequences may evolve over time. K-medoids or Partitioning Around Medo…
cs.LG2022
Robust Attack Graph Generation
Dennis Mouwen, Sicco Verwer, Azqa Nadeem
We present a method to learn automaton models that are more robust to input modifications. It iteratively aligns sequences to a learned model, modifies the sequences to their align…