Improving Heuristic Correlation using Time-based Algorithms to Predict Relevance
Original Publication Date: 2004-Jun-08
Included in the Prior Art Database: 2004-Jun-08
This article describes a set of algorithms and procedures that improve the ability to heuristically correlate information between multiple software systems. Heuristic correlation uses implied relationships between the data exchanged between products to correlate the processing of the exchanged data. This idea focuses on making the correlation as deterministic as possible without requiring shared or unique identifiers within the data exchanged.