Bottomline Technologies Limited

Kaiyu Pan

Mark G Kane

Richard J Diekema, Jr

Richard A Baker, Jr

A two-step algorithm for conducting near real-time fuzzy searches of a target on one or more large data sets is described. This algorithm includes the simplification of the data by removing grammatical constructs to bring the target search term (and the stored database) to their base elements and then performing a Levenstein comparison to create a subset of the data set that may be a match. Then performing a scoring algorithm while comparing the target to the subset of the data set to identify any matches.

Algorithm for the non-exact matching of large datasets

A two-step algorithm for conducting near real-time fuzzy searches of a target on one or more large data sets is described. This algorithm includes the simplification of the data by removing grammatical constructs to bring the target search term (and the stored database) to their base elements and then perform a Levenstein comparison to create a subset of the data set that may be a match. Then performing a scoring algorithm while comparing the target to the subset of the data set to identify any matches.

Non-exact matching of large datasets

A two-step algorithm for conducting near real time fuzzy searches of a target on one or more large data sets is described, where the address and the geolocation are included in the match criteria. This algorithm includes the simplification of the data by removing grammatical constructs to bring the target search term (and the stored database) to their base elements and then perform a Levenshtein comparison to create a subset of the data set that may be a match. Location is determined by a geohash comparison of the latitude and longitude and a Levenshtein comparison of the address text. Then performing a scoring algorithm while comparing the target to the subset of the data set to identify any matches.

Method and apparatus for non-exact matching of addresses

Two step algorithm for non-exact matching of large datasets

A two step algorithm for conducting near real time fuzzy searches of a target on one or more large data sets is described. This algorithm includes the simplification of the data by removing grammatical constructs to bring the target search term (and the stored database) to their base elements and then perform a Levenstein comparison to create a subset of the data set that may be a match. Then performing a scoring algorithm while comparing the target to the subset of the data set to identify any matches.

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Johns Creek, GA, United States of America

Kaiyu Pan