On-the fly pattern recognition with configurable bounds
View Patent ↗Some embodiments of on-the-fly pattern recognition with configurable bounds have been presented. In one embodiment, a pattern matching engine is configured based on user input, which may include values of one or more user configurable bounds on searching. Then the configured pattern matching engine is used to search for a set of features in an incoming string. A set of scores is updated based on the presence of any of the features in the string while searching for the features. Each score may indicate a likelihood of the content of the string being in a category. The search is terminated if the end of the string is reached or if the user configurable bounds are met. After terminating the search, the scores are output.
1. A method for using a model for pattern recognition, the method comprising:
executing instructions stored in memory, wherein execution of the instructions by a processor:
configures a pattern matching engine based on user input, the user input comprising one or more user configurable bounds on searching; and
executes the pattern matching engine to search a pre-classified document for a plurality of features, wherein the pre-classified document is pre-classified into a category of content, the search results in a set of scores for the pre-classified document, and a model is established for the category of content based on the set of scores for the pre-classified document; and
storing in memory the established model for the category of content based on the set of scores for the pre-classified document, wherein further execution of instructions by the processor:
executes the pattern matching engine to perform a search for the plurality of features in an incoming string;
updates a plurality of scores based on presence of any of the plurality of features in the incoming string;
terminates the search before reaching an end of the string if the one or more user configurable bounds are met;
outputs the plurality of scores after terminating the search; and
classifies the incoming string into the category of content based on a comparison of the scores for the incoming string with the model established based on the set of scores for the pre-classified document.
2. The method of claim 1 , wherein the search is terminated before the incoming string is searched fully and wherein the outputted plurality of scores applies only to a part of the incoming string.
3. The method of claim 1 , wherein the user is provided with a user interface for selecting the one or more configurable bounds.
4. The method of claim 3 , wherein the user interface includes information regarding a degree of correct classification associated with a level of the configuration bounds.
5. The method of claim 1 , wherein the outputted plurality of scores is further based on a weight assigned to one or more of the features.
6. The method of claim 1 , further comprising associating the established model with a set of conditions or thresholds.
7. The method of claim 6 , wherein the set of conditions or thresholds includes a number of times one of the features is found in the incoming string.
8. The method of claim 6 , wherein the set of conditions or thresholds includes a length of the string in which a threshold number of times one of the features is found in the string satisfied.
9. The apparatus of claim 1 , wherein the established model stored in memory is further associated with a set of conditions or thresholds.
10. The apparatus of claim 9 , wherein the set of conditions or thresholds includes a number of times one of the features is found in the incoming string.
11. The method of claim 9 , wherein the set of conditions or thresholds includes a length of the string in which a threshold number of times one of the features is found in the string satisfied.
12. An apparatus for using a model for pattern recognition, the apparatus comprising:
a processor executing processing logic stored in memory, wherein execution of the processing logic by the processor:
configures a pattern matching engine based on user input, the user input comprising one or more user configurable bounds on searching,
executes the pattern matching engine to search a pre-classified document for a plurality of features, wherein the pre-classified document is pre-classified into a category of content, the search results in a set of scores for the pre-classified document, and a model is established for the category of content based on the set of scores for the pre-classified document;
executes the pattern matching engine to perform a search for the plurality of features in an incoming string,
updates a plurality of scores based on presence of any of the plurality of features in the incoming string,
terminates the search before reaching an end of the string if the one or more user configurable bounds are met,
outputs the plurality of scores after terminating the search, and
classifies the incoming string into the category of content based on a comparison of the scores for the incoming string with the model established based on the set of scores for the pre-classified document; and
memory for storing the established model for the category of content based on the set of scores for the pre-classified document.
13. The apparatus of claim 12 , wherein the search is terminated before the incoming string is searched fully and wherein the outputted plurality of scores applies only to a part of the incoming string.
14. The apparatus of claim 12 , further comprising a user interface including a graphical user interface to receive a user selection for the one or more configurable bounds.
15. The apparatus of claim 14 , wherein the graphical user interface includes information regarding a degree of correct classification associated with a level of the configuration bounds.
16. The apparatus of claim 12 , wherein the outputted plurality of scores is further based on a weight assigned to one or more of the features.
17. A non-transitory computer-readable storage medium having embodied thereon a program executable by a processor to perform a method for using a model for pattern recognition, the method comprising:
configuring a pattern matching engine based on user input, the user input comprising one or more user configurable bounds on searching;
executing the pattern matching engine to search a pre-classified document for a plurality of features, wherein the pre-classified document is pre-classified into a category of content, the search results in a set of scores for the pre-classified document, and a model is established for the category of content based on the set of scores for the pre-classified document;
storing in memory the established model for the category of content based on the set of scores for the pre-classified document;
executing the pattern matching engine to perform a search for the plurality of features in an incoming string;
updating a plurality of scores based on presence of any of the plurality of features in the incoming string;
terminating the search before reaching an end of the string if the one or more user configurable bounds are met;
outputting the plurality of scores after terminating the search; and
classifying the incoming string into the category of content based on a comparison of the scores for the incoming string with the model established based on the set of scores for the pre-classified document.