Abstract
The purpose of this technical note is to introduce the problems of similarity detection and summarization in uncertain data. We provide the essential arguments that make the problems relevant to the data-mining and machine-learning community, stating major issues and summarizing our contributions in the field. Further challenges and directions of research are also issued.
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Gullo, F., Ponti, G., Tagarelli, A. (2014). Be Certain of How-to before Mining Uncertain Data. In: Calders, T., Esposito, F., Hüllermeier, E., Meo, R. (eds) Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2014. Lecture Notes in Computer Science(), vol 8726. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44845-8_42
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DOI: https://doi.org/10.1007/978-3-662-44845-8_42
Publisher Name: Springer, Berlin, Heidelberg
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