Process and System for Integrating Information from Disparate Databases for Purposes of Predicting Consumer Behavior
First Claim
1. A method for predicting individual behavior from information stored in a plurality of disparate databases, the method comprising:
- identifying a variable which is common to each database of the plurality of disparate databases;
using a processing device, performing a cluster analysis using the variable from each database of the plurality of disparate databases to form a plurality of clusters;
using a processing device, linking through the plurality of clusters the plurality of disparate databases to form an integrated database; and
using a processing device, creating a behavioral model, using corresponding data of the plurality of clusters of the integrated database, for predicting individual behavior.
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Accused Products
Abstract
A process and system for integrating information stored in at least two disparate databases. The stored information includes consumer transactional information. According to the process and system, at least one qualitative variable which is common to each database is identified, and then transformed into one or more quantitative variables. The consumer transactional information in each database is then converted into converted information in terms of the quantitative variables. Thereafter, an integrated database is formed for predicting consumer behavior by combining the converted information from the disparate databases.
33 Citations
37 Claims
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1. A method for predicting individual behavior from information stored in a plurality of disparate databases, the method comprising:
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identifying a variable which is common to each database of the plurality of disparate databases; using a processing device, performing a cluster analysis using the variable from each database of the plurality of disparate databases to form a plurality of clusters; using a processing device, linking through the plurality of clusters the plurality of disparate databases to form an integrated database; and using a processing device, creating a behavioral model, using corresponding data of the plurality of clusters of the integrated database, for predicting individual behavior. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A system for predicting individual behavior from information stored in a plurality of disparate databases, the system comprising:
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a storage device adapted to store an integrated database; and a processing device coupled to the storage device, the processing device adapted to perform a cluster analysis using at least one variable which is common to each database of the plurality of disparate databases to form a plurality of clusters, to link through the plurality of clusters the plurality of disparate databases to form the integrated database, and to generate a behavioral model, using corresponding data of the plurality of clusters of the integrated database, for predicting individual behavior. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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19. A method for creating a behavioral model from information stored in a plurality of disparate databases, the method comprising:
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determining a plurality of variables from each database, at least a portion of the plurality of variables common to each database of the plurality of disparate databases; using a processing device, performing a first cluster analysis using corresponding data of the plurality of variables common to each database of the plurality of disparate databases to create a plurality of cluster solutions; using a processing device, linking through a cluster solution, of the plurality of cluster solutions, the information stored in the plurality of disparate databases; and validating the cluster solution of the plurality of cluster solutions as a discriminatory behavioral model for predicting individual behavior. - View Dependent Claims (20, 21, 22, 23, 24, 25, 26, 27, 28)
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29. A system for creating a behavioral model from information stored in a plurality of disparate databases, the system comprising:
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a storage device storing data from one or more of the plurality of disparate databases; and a processing device coupled to the storage device, the processing device adapted to determine a plurality of variables from each database, at least a portion of the plurality of variables common to each database of the plurality of disparate databases;
to perform a first cluster analysis using corresponding data of the plurality of variables common to each database of the plurality of disparate databases to create a plurality of cluster solutions;
to link through a cluster solution, of the plurality of cluster solutions, the information stored in the plurality of disparate databases; and
to validate the cluster solution of the plurality of cluster solutions as a discriminatory behavioral model for predicting individual behavior. - View Dependent Claims (30, 31, 32, 33, 34, 35, 36, 37)
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Specification