| 摘要 |
<p>A data interpretation and separation system for identifying data elements within a data set that have common features, and separating those data elements from other data elements not sharing such common features. Commonalities relative to methods and/or rates of change within a data set may be used to determine which elements share common features. Determining the commonalities may be performed autonomously by referencing data elements within the data set, and need not be matched against algorithmic or predetermined definitions. Interpreted and separated data may be used to reconstruct an output that includes only separated data. Such reconstruction may be non-destructive. Interpreted and separated data may also be used to retroactively build on existing element sets associated with a particular source.</p> |
