Type inference refers to the task of inferring the data type of a given column of data. Current approaches often fail when data contains missing data and anomalies, which are found commonly in real-world data sets. In this paper, we propose ptype, a probabilistic robust type inference method that allows us to detect such entries, and infer data types. We further show that the proposed method outperforms existing methods.

中文翻译：

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ptype：概率类型推断

类型推断是指推断给定数据列的数据类型的任务。当数据包含缺失的数据和异常时，当前方法通常会失败，而这些数据和异常通常是在现实世界的数据集中发现的。在本文中，我们提出了ptype，一种概率健壮的类型推断方法，它使我们能够检测到此类条目并推断数据类型。我们进一步表明，所提出的方法优于现有方法。