论文标题
MITHRADETACTY：樱桃采摘趋势线检测系统
MithraDetective: A System for Cherry-picked Trendlines Detection
论文作者
论文摘要
给定数据集，可以通过挑选选定的样本来从中得出误导性结论。一类重要的结论是随着时间的推移数据集得出的趋势。我们的目标是评估提取的样品描述的“趋势”是否代表了数据中所示的真实情况。我们演示了Mithradective，这是一种计算支持评分的系统，以指示樱桃采摘的陈述。也就是说，报告的趋势是否由数据得到很好的支持。该系统还可以用于发现更多支持的替代方案。 Mithradetextive为这两个任务提供了一个交互式视觉界面。
Given a data set, misleading conclusions can be drawn from it by cherry-picking selected samples. One important class of conclusions is a trend derived from a data set of values over time. Our goal is to evaluate whether the 'trends' described by the extracted samples are representative of the true situation represented in the data. We demonstrate MithraDetective, a system to compute a support score to indicate how cherry-picked a statement is; that is, whether the reported trend is well-supported by the data. The system can also be used to discover more supported alternatives. MithraDetective provides an interactive visual interface for both tasks.
