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.

Areas of Interest

rare events detection

Anomaly detection and explanation represents the main research domain of the laboratory. Besides standard multidimensional data, the research is also concerned with time series, image, and graph data.

graph mining

We develop methods for mining subgraph patterns in networks that are primarily attributed and time-evolving. The focus is set on frequent as well as anomalous and discriminative patterns.

recognition of vehicle attributes

Applications of machine learning methods in identifying the individual vehicle attributes based on camera images from the real environment. Machine learning algorithms for feature classification (e.g. color, maker, type).

Outliers detection
in traffic images

Anomaly detection in images, mostly using methods of machine learning. Detection of unusual traffic situations, vehicle visual defects or unauthorized manipulation with camera.

Joint Image and Text Learning

Texts and images are humans natural source of information. Therefore, teaching computers to understand information from multimodal sources is necessary step towards artificial intelligence goals.

Multimodal Anomaly detection

Enriching texts with other non-textual features has been proven useful in some areas of machine learning. We are convinced, that anomaly detection is on of them.

Past topics

machine learning for recommender systems
visual data mining
educational data mining
  • “The wizards' automatic response to any problem was to see if there was a book about it."

    Terry Pratchett, The Science of Discworld

  • "With magic, you can turn a frog into a prince. With science, you can turn a frog into a Ph.D
    and you still have the frog you started with."

    Terry Pratchett, The Science of Discworld

  • "The High Energy Magic building was getting crowded now. Even the student wizards were taking an interest,
    and usually they weren't even seen during daylight."

    Terry Pratchett, The Science of Discworld

  • "‘Perhaps you would care to say a few words, sir?’ said Ponder.
    ‘Yes.’ Ridcully looked thoughtful for a moment, and then brightened up. ‘Let’s get this over quickly,
    and have lunch.’"

    Terry Pratchett, The Science of Discworld

List of publications is available (here)

Contact Information

  • C513, Botanická 68a, 602 00 Brno, Czech Republic