Open AccessView recommendation for visual data exploration
Author(s) -
Humaira Ehsan
Publication year - 2019
Publication title -
queensland's institutional digital repository (the university of queensland)
Language(s) - Uncategorized
Resource type - Dissertations/theses
DOI - 10.14264/uql.2020.81
Subject(s) - computer science , process (computing) , aggregate (composite) , domain (mathematical analysis) , selection (genetic algorithm) , function (biology) , visualization , data mining , data science , visual analytics , information retrieval , data exploration , machine learning , mathematical analysis , materials science , mathematics , evolutionary biology , composite material , biology , operating system
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