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article
April 2016
Efficient discovery of contrast subspaces for object explanation and characterization
Knowledge and Information Systems (KAIS), Volume 47, Issue 1Pages 99–129https://doi.org/10.1007/s10115-015-0835-6

We tackle the novel problem of mining contrast subspaces. Given a set of multidimensional objects in two classes $$C_+$$C+ and $$C_-$$C- and a query object $$o$$o, we want to find the top-$$k$$k subspaces that maximize the ratio of likelihood of $$o$$o ...
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article
September 2015
Mining outlying aspects on numeric data
Data Mining and Knowledge Discovery (DMKD), Volume 29, Issue 5Pages 1116–1151https://doi.org/10.1007/s10618-014-0398-2

When we are investigating an object in a data set, which itself may or may not be an outlier, can we identify unusual (i.e., outlying) aspects of the object? In this paper, we identify the novel problem of mining outlying aspects on numeric data. Given ...
29
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