SOURCERY
SOURCERY
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来源
DOI：
10.1145/3269206.3269209
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Abel E
中科院分区：
文献类型：
--
作者：
Abel E
数据科学家通常对具有与预期数据使用最一致的属性的源子集感兴趣。SourceRY系统支持交互式多标准用户驱动的源选择。SOURCE允许用户识别他们认为重要的标准并指示其相对重要性，并寻求与用户提供的标准偏好一致的源选择结果。向用户给出所选择的源的属性的概述，其中沿着视觉分析将结果与理论上可能的和给定可用源集合的情况下可能的联系起来。该系统还使用户能够交互地执行迭代微调，以探索偏好的改变如何影响结果。
Data scientists are usually interested in a subset of sources with properties that are most aligned to intended data use. The SOURCERY system supports interactive multi-criteria user-driven source selection. SOURCERY allows a user to identify criteria they consider of importance and indicate their relative importance, and seeks a source selection result aligned to the user-supplied criteria preferences. The user is given an overview of the properties of the sources that are selected along with visual analyses contextualizing the result in relation to what is theoretically possible and what is possible given the set of available sources. The system also enables a user to interactively perform iterative fine-tuning to explore how changes to preferences may impact results.