Knowledge Discovery Group

Contact: doc. RNDr. Lubomír Popelínský, Ph.D.

The main research areas of the Knowledge Discovery Group are anomaly detection and graph mining. The group also focuses on pre-processing methods for data mining, including deep learning and frequent patterns as new features, as well as on text mining—particularly text summarization and the detection of anomalous documents. Collaboration with industry and the public sector is emphasized. Members of the group teach most courses on machine learning and data mining, including natural language learning and text mining.

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