System and method for obtaining keyword descriptions of records from a large database
First Claim
1. A computerized system for augmenting data from a source database with data from a reference database to generate an augmented database that can be used for predictive modeling, comprising:
- a) a source database comprising structured data;
b) a reference database having reference data;
c) a locator component configured to use the structured data to locate reference data in the reference database suitable for association with the source database;
d) an analyzer component configured to process the reference data into a set of descriptors and associating the descriptors to the source data to form an augmented database;
e) a predictive modeling component configured to classify behavior with the augmented database; and
f) a data mining component configured to conduct searches of data in the augmented database.
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Abstract
A computerized system for augmenting data from a source database with data from a reference database to generate an augmented database that can be used for predictive modeling is disclosed. The present invention includes a method for using the Internet to obtain information, including, reading a data record stored in a field of data, searching a database for information describing the data record, condensing the information describing the data record into a value description, associating the value description with the data record, and augmenting the field of data with the value description associated with the data. The present invention also includes a computerized system for augmenting data from a source database with data from a reference database to generate an augmented database that can be used for predictive modeling and data mining to conduct searches of data in the augmented database.
231 Citations
60 Claims
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1. A computerized system for augmenting data from a source database with data from a reference database to generate an augmented database that can be used for predictive modeling, comprising:
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a) a source database comprising structured data;
b) a reference database having reference data;
c) a locator component configured to use the structured data to locate reference data in the reference database suitable for association with the source database;
d) an analyzer component configured to process the reference data into a set of descriptors and associating the descriptors to the source data to form an augmented database;
e) a predictive modeling component configured to classify behavior with the augmented database; and
f) a data mining component configured to conduct searches of data in the augmented database. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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20. A computerized system for augmenting data from a source database with data from a reference database to generate an augmented database that can be used for predictive modeling, comprising:
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a) a source database comprising a plurality of transaction data records with each transaction data record having at least one field identifying a merchant, product and/or service;
b) a merchant identifier database comprising a plurality of reference addresses and value description identifiers for merchants, products and/or services;
c) a reference database;
d) an address locating module configured to search the reference database to locate references for merchants, products and/or services identified in the source database;
e) an account description database;
f) a transaction augmentation module, configured to attach the value description of a particular merchant, product and/or service to the transaction data records and store the resulting combined record in the account description database; and
g) a merchant analysis builder module configured to condense the references provided by the address locating module into a value description and store the value description in the merchant identifier database. - View Dependent Claims (21, 22, 23, 24, 25)
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26. A computerized method of augmenting data from a source database with data from a reference database, the method comprising:
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a) retrieving at least one data record recording an event from the source database;
b) identifying a field in the data record that specifies an entity;
c) locating reference data from the reference database that describes the entity specified by the entity field;
d) processing the reference data to form a set of keyword descriptors describing the entity;
e) augmenting the data record with the keyword descriptors to generate an augmented data record describing the entity;
f) building an account descriptor database that includes at least one data record that correlates the at least one event with the description of the entity from the augmented data record; and
g) searching the account descriptor database for selected data records that meet a desired criteria. - View Dependent Claims (27, 28, 29, 30, 31, 32, 33)
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34. A method of augmenting structured data stored in a source database with unstructured data stored in a reference database, comprising:
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a) reading a data record from the source database;
b) searching the reference database for information describing the data record;
c) condensing the information describing the data record into at least one keyword description;
d) augmenting the data record with the keyword description. - View Dependent Claims (35, 36, 37, 38, 39)
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40. A computerized system associating unstructured data in a reference database with structured data in a source database, comprising:
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a) means for reading a data record from the source database;
b) means for searching the reference database for information describing the data record;
c) means for condensing the information describing the data record into at least one keyword description; and
d) means for augmenting the data record with the keyword description. - View Dependent Claims (41, 42, 43)
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44. A structured database for use with a database mining search engine conducting searches for behavioral driven characteristics, said structured database containing keyword descriptors describing a merchant obtained by reducing information about the merchant from a reference database comprising unstructured data.
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45. A method of generating a behavior driven targeted marketing list, comprising:
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a) obtaining a plurality of financial transaction records associated with a plurality of individuals and at least one merchant;
b) identifying the merchant involved in the financial transactions;
c) searching a reference database of unstructured data for information about each of the at least one merchant;
d) condensing the information into a list of weighted keywords that describes each of the at least one merchant;
e) associating the weighted keywords with the financial transaction records;
f) generating a profile of each of the individuals using the weighted keywords describing the at least one merchant, wherein the individuals performed a plurality of financial transactions; and
g) searching the individual profiles to identify targeted individuals who exhibit a desired behavioral history.
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46. A computerized system for augmenting data from a source database with data from a reference database to generate an augmented database that can be used for predictive modeling, comprising:
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a) a source database comprising structured data;
b) a reference database having reference data;
c) a locator component configured to use the structured data to locate reference data in the reference database suitable for association with the source database; and
d) an analyzer component configured to process the reference data into a set of descriptors and associating the descriptors to the source data to form an augmented database;
- View Dependent Claims (47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60)
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Specification