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Research Interests
My research interests are broadly knowledge discovery in databases and machine learning. More particular interests are currently ensemble techniques for unsupervised learning (clustering, outlier detection), and applications and problems in high dimensional data. Development of new models is challenging in various aspects. A major problem (and a topic I am especially interested in) is however the evaluation of unsupervised methods and the interpretation and reliability of their results, in the development of methods as well as in application scenarios. At large, this is related to the question of how to do data mining research in a scientifically well-founded way.
My research interests are broadly knowledge discovery in databases and machine learning. More particular interests are currently ensemble techniques for unsupervised learning (clustering, outlier detection), and applications and problems in high dimensional data. Development of new models is challenging in various aspects. A major problem (and a topic I am especially interested in) is however the evaluation of unsupervised methods and the interpretation and reliability of their results, in the development of methods as well as in application scenarios. At large, this is related to the question of how to do data mining research in a scientifically well-founded way.
研究兴趣
论文共 146 篇作者统计合作学者相似作者
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arxiv(2024)
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CoRR (2024)
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Proceedings of the 2024 SIAM International Conference on Data Mining (SDM)pp.652-660, (2024)
Expert Systems with Applications (2023): 120994-120994
Data mining and knowledge discoveryno. 4 (2023): 1473-1517
CoRR (2023)
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Similarity Search and Applications: 16th International Conference, SISAP 2023, A Coruña, Spain, October 9–11, 2023, Proceedingspp.185-199, (2023)
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SIMILARITY SEARCH AND APPLICATIONS (SISAP 2022) (2022): 234-248
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