Similarity-Driven Sampling for Data Mining


Abs t r ac t . Industrial databases often contain millions oftuples but most data mining algorithms suffer from limited applicability to only small sets of examples. In this paper, we propose to utilize data reduction before data mining to overcome this deficit. We specifically present a novel similarity-driven sampling approach which applies two… (More)
DOI: 10.1007/BFb0094846


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@inproceedings{Reinartz1998SimilarityDrivenSF, title={Similarity-Driven Sampling for Data Mining}, author={Thomas P. Reinartz}, booktitle={PKDD}, year={1998} }