Abstract: A computer-implemented method is disclosed for efficiently processing set-based attributes. In the method, a computer system may obtain a plurality of records and a decision tree. The decision tree may include a distinction node corresponding to a comparison of two attributes. The distinction node may have a match path and a no match path extending therefrom. After arriving at the distinction node, the computer system may initiate a process wherein each member of a first set corresponding to a first of the two attributes is to be compared to each member of a second set corresponding to a second of the two attributes. The computer system may depart the distinction node via the match path after the process reveals that at least one member of the first set matches at least one member of the second set.

Abstract: A computer-implemented method is disclosed for efficiently processing a large number of records. In the method, a computer system may obtain a plurality of records and a decision tree. The decision tree may include a distinction node corresponding to a distinction requiring completion of a computation. Due to the fact that the computation may be, in the overall context of the process, computationally expensive, it may initially be left uncomputed. Accordingly, if the distinction node is never reached when records are being processed, no computation time gets wasted. However, if and when the distinction node is reached, the computer system may complete the computation and make the distinction based on results of the computation.

Abstract: The present disclosure extends to methods, systems, and computer program products for determining customer linkages between a plurality of customer profiles having corresponding attribute pairs for comparison.