A survey of visual analytics techniques for machine learning
A survey of visual analytics techniques for machine learning
About this item
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Publisher
Beijing: Tsinghua University Press
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Language
English
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Publisher
Beijing: Tsinghua University Press
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Scope and Contents
Contents
Visual analytics for machine learning has recently evolved as one of the most exciting areas in the field of visualization. To better identify which research topics are promising and to learn how to apply relevant techniques in visual analytics, we systematically review 259 papers published in the last ten years together with representative works b...
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Full title
A survey of visual analytics techniques for machine learning
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Record Identifier
TN_cdi_proquest_journals_2500913694
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2500913694
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ISSN
2096-0433
E-ISSN
2096-0662
DOI
10.1007/s41095-020-0191-7