Abstract: Methods, computer systems, computer-storage media, and graphical user interfaces are provided for facilitating data error detection, according to embodiments of the present invention. In one embodiment, a target data set having a plurality of values for which to identify incompatible data is obtained. A pattern for each of the plurality of values is generated using at least one generalization language. A pair of patterns that represent a pair of values is utilized to identify a compatibility indicator that corresponds with a pair of training patterns in a compatibility index that match the pair of patterns. The compatibility indicator indicates the pair of patterns are incompatible with one another based on a statistical analysis performed in association with a corpus of data external to the target data set. An indication that the values are incompatible with one another is provided.

Abstract: Methods, computer systems, computer-storage media, and graphical user interfaces are provided for facilitating data error detection, according to embodiments of the present invention. In one embodiment, a target data set having a plurality of values for which to identify incompatible data is obtained. A pattern for each of the plurality of values is generated using at least one generalization language. A pair of patterns that represent a pair of values is utilized to identify a compatibility indicator that corresponds with a pair of training patterns in a compatibility index that match the pair of patterns. The compatibility indicator indicates the pair of patterns are incompatible with one another based on a statistical analysis performed in association with a corpus of data external to the target data set. An indication that the values are incompatible with one another is provided.