Method and System for Fuzzy Matching and Alias Matching for Streaming Data Sets
AssigneeForcepoint LLC
InventorsPeter Lochlan Stewart, Amanda Kinnischtzke
Life of this patent
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Abstract
A method, system, and computer-usable medium for streaming or processing data streams. Raw text data is cleansed to a standard format. A fuzzy matching algorithm is performed on the text data. For data where domain expertise is required, alias matching is performed. End state categorizing or grouping is provided for the cleansed raw text data.
Claims20
A computer-implementable method for streaming data streams comprising:
- cleansing raw text data of the data streams;
- applying a fuzzy matching algorithm on cleansed raw text data to determine an end state category of the cleansed raw text data;
- performing alias matching on the cleansed raw text data if domain expertise is determined to be used for cleansed raw text data;
- and
- providing end state categorizing of the cleansed raw text data.
A system comprising:
- a processor;
- a data bus coupled to the processor;
- and
- a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for:
- applying a fuzzy matching algorithm on cleansed raw text data to determine an end state category of the cleansed raw text data;
- performing alias matching on the cleansed raw text data if domain expertise is determined to be used for cleansed raw text data;
- and
- providing end state categorizing of the cleansed raw text data.
A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for:
- cleansing raw text data of the data streams;
- applying a fuzzy matching algorithm on cleansed raw text data to determine an end state category of the cleansed raw text data;
- performing alias matching on the cleansed raw text data if domain expertise is determined to be used for cleansed raw text data;
- and
- providing end state categorizing of the cleansed raw text data.
Dependencies are inferred from the claim text.