Personal profile

Research interests

My research interest cover a wide range of topics within Data Mining, Machine Learning and Artificial Intelligence, with a particular focus on sequential or temporal data. Within the field of Sequential Pattern Mining, I have introduced novel interestingness measures to evaluate patterns, as well as developed several algorithms for discovering patterns of various types in sequential data. I have also worked on algorithms for sequence classification, next event prediction in data streams and anomaly detection in time series. Away from sequential data, I have made contributions to the fields of recommender systems, subspace clustering and spatial pattern discovery.

Current courses

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  • Data Mining
  • Data Science
  • Machine Learning
  • Artificial Intelligence
  • big data


Dive into the research topics where Boris Čule is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years

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