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. © 2014 Springer-Verlag.
Cite
CITATION STYLE
Gullo, F., Ponti, G., & Tagarelli, A. (2014). Be certain of how-to before mining uncertain data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8726 LNAI, pp. 489–493). Springer Verlag. https://doi.org/10.1007/978-3-662-44845-8_42
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