"PRESS: A personalised approach for mining top-k groups of objects with ..."

Tahrima Hashem et al. (2020)

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DOI: 10.1016/J.DATAK.2020.101833

access: closed

type: Journal Article

metadata version: 2020-10-26

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Tahrima Hashem, Lida Rashidi, Lars Kulik, James Bailey:
PRESS: A personalised approach for mining top-k groups of objects with subspace similarity. Data Knowl. Eng. 128: 101833 (2020)

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