14. A non-transitory computer-readable storage medium having stored thereon executable instructions that, when executed by one or more processors of a computer system, cause the computer system to at least: receive information associated with communication between a user and the computer system; perform one or more queries based at least in part on the information; compute a set of frequency values for results of the one or more queries; determine at least one confidence score for the one or more queries by at least: computing a set of search term results for a set of search terms associated with the one or more queries, the set of search term results indicating an extent to which the one or more queries corresponds to the results of the one or more queries; calculating, based at least in part on the set of frequency values and the set of search term results, a subset of the set of records to analyze; and evaluating at least a subset of the set of frequency values against a set of decision rules to generate the at least one confidence score, the set of decision rules corresponding to decision trees in a random forest generated based at least in part on a data set corresponding to a population of individuals; and output at least one user identity associated with the at least one confidence score.
14. A non-transitory computer-readable storage medium having stored thereon executable instructions that, when executed by one or more processors of a computer system, cause the computer system to at least: receive information associated with communication between a user and the computer system; perform one or more queries based at least in part on the information; compute a set of frequency values for results of the one or more queries; determine at least one confidence score for the one or more queries by at least: computing a set of search term results for a set of search terms associated with the one or more queries, the set of search term results indicating an extent to which the one or more queries corresponds to the results of the one or more queries; calculating, based at least in part on the set of frequency values and the set of search term results, a subset of the set of records to analyze; and evaluating at least a subset of the set of frequency values against a set of decision rules to generate the at least one confidence score, the set of decision rules corresponding to decision trees in a random forest generated based at least in part on a data set corresponding to a population of individuals; and output at least one user identity associated with the at least one confidence score. 18. The non-transitory computer-readable storage medium of claim 14 , wherein individual frequency values of the set of frequency values indicate how common corresponding queries are matched to values in fields of a particular data set.