1. A computer-implemented method of automatically generating weights for associating a plurality of data records from one or more data sources at one or more physical locations, comprising: a) generating unmatched probabilities for a set of candidate data records, wherein the unmatched probabilities are computed per attribute for each pair of data records in the set of candidate data records; b) comparing each pair of data records in the set of candidate data records using current weights for selected attributes; c) determining a candidate matched set with results from the comparing step; d) generating true discrepancy probabilities with scoring information from the candidate matched set; e) calculating new weights for the selected attributes based upon the unmatched probabilities and the true discrepancy probabilities to adjust performance of the association of data records; and repeating steps b)-e) using the new weights if a difference between the current weights and the new weights is larger than a predetermined amount.