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Processing multiple data sets to generate a merged location-based data set

机译:处理多个数据集以生成基于合并的基于位置的数据集

摘要

A computer system merges location-based data sets. Each of a plurality of data sets are transformed into a standardized schema, including at least two data sets including information indicating a geographic location. The schemas of the plurality of data sets are combined by data set type to produce a resulting data set for each data set type. The schemas of a first and second data sets are joined to produce a merged data set using a machine learning model to identify corresponding rows of the schemas. The schema of the merged data set is joined with the schemas of the resulting data sets for the data set types to produce a new data set. A resulting merged data set in the standardized schema is produced. Embodiments of the present invention further include a method and program product for merging location-based data sets in substantially the same manner described above.
机译:计算机系统合并基于位置的数据集。 多个数据集中的每一个被转换为标准化模式,包括至少两个数据集,包括指示地理位置的信息。 多个数据集的模式由数据集类型组合以生成用于每个数据集类型的结果数据集。 第一和第二数据集的模式被加入使用机器学习模型产生合并的数据集,以识别模式的相应行。 合并数据集的模式与数据集类型的结果数据集的模式加入,以生成新的数据集。 生成标准化模式中的生成合并数据。 本发明的实施例还包括用于以基本上相同的方式合并基于位置的数据集的方法和程序产品。

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