Titlebook: Discovery Science; 21st International C Larisa Soldatova,Joaquin Vanschoren,Michelangelo C Conference proceedings 2018 Springer Nature Swit

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https://doi.org/10.1007/978-1-349-27348-5rings for a particular dataset. Semi-supervised clustering addresses this by allowing the user to provide examples of instances that should (not) be in the same cluster. This paper studies semi-supervised clustering in the context of time series. We show that COBRAS, a state-of-the-art active semi-s

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Software Science and Engineeringecially prevalent on the Internet, where words’ meaning can change rapidly. In this work, we describe the construction of a large diachronic corpus that relies on the UK Web Archive and we propose a preliminary analysis of semantic change detection exploiting a particular technique called Temporal R

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0302-9743 ber 2018, co-located with the International Symposium on Methodologies for Intelligent Systems, ISMIS 2018...The 30 full papers presented together with 5 abstracts of invited talks in this volume were carefully reviewed and selected from 71 submissions. The scope of the conference includes the devel

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Software Science and Engineeringat relies on the UK Web Archive and we propose a preliminary analysis of semantic change detection exploiting a particular technique called Temporal Random Indexing. Results of the evaluation are promising and give us important insights for further investigations.

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