PRESS: A personalised approach for mining top-k groups of objects with subspace similarity
Tahrima Hashem, Lida Rashidi, Lars Kulik, James Bailey
Data & Knowledge Engineering | Elsevier | Published : 2020
Personalised analytics is a powerful technology that can be used to improve the career, lifestyle, and health of individuals by providing them with an in-depth analysis of their characteristics as compared to other people. Existing research has often focused on mining general patterns or clusters, but without the facility for customisation to an individual's needs. It is challenging to adapt such approaches to the personalised case, due to the high computational overhead they require for discovering patterns that are good across an entire dataset, rather than with respect to an individual. In this paper, we tackle the challenge of personalised pattern mining and propose a query-driven approa..View full abstract
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Awarded by Australian Research Council
This research work is supported by the Australian Research Council (ARC) Discovery Grant DP170102472.