SYSTEM AND METHOD TO INFER ANOMALOUS BEHAVIOR OF MEMBERS OF COHORTS AND INFERENCE OF ASSOCIATE ACTORS RELATED TO THE ANOMALOUS BEHAVIOR
First Claim
1. A computer implemented method for inferring a probability of a first inference, wherein the first inference relates to anomalous behavior of a member of a cohort, wherein the anomalous behavior comprises a behavior that is more likely not to occur than to occur, and wherein the computer implemented method comprises:
- receiving a query at a database regarding a fact, wherein the first inference is absent from the database, wherein the database comprises a plurality of divergent data, wherein the plurality of divergent data includes a plurality of cohort data, wherein each datum of the database is conformed to the dimensions of the database, wherein each datum of the plurality of data has associated metadata and an associated key, wherein the associated metadata comprises data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum;
establishing the fact as a frame of reference for the query;
applying a first set of rules to the query, wherein the first set of rules are determined for the query according to a second set of rules, wherein the first set of rules determine how the plurality of data are to be compared to the fact, and wherein the first set of rules determine a search space for the query;
executing the query to create the probability of the first inference, wherein the probability of the first inference is determined from comparing the plurality of data according to the first set of rules; and
storing the probability of the first inference.
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Accused Products
Abstract
Inferring a probability of a first inference absent from a database at which a query regarding the inference is received. The first inference relates to identifying anomalous behavior of cohorts members, which identification can be used to identify crimes that are particularly difficult to detect, such as identity theft. Each datum of the database is conformed to the dimensions of the database. Each datum of the plurality of data has associated metadata and an associated key. The associated metadata includes data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum. The query is used as a frame of reference for the search. The database returns a probability of the correctness of the first inference based on the query and on the data.
63 Citations
20 Claims
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1. A computer implemented method for inferring a probability of a first inference, wherein the first inference relates to anomalous behavior of a member of a cohort, wherein the anomalous behavior comprises a behavior that is more likely not to occur than to occur, and wherein the computer implemented method comprises:
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receiving a query at a database regarding a fact, wherein the first inference is absent from the database, wherein the database comprises a plurality of divergent data, wherein the plurality of divergent data includes a plurality of cohort data, wherein each datum of the database is conformed to the dimensions of the database, wherein each datum of the plurality of data has associated metadata and an associated key, wherein the associated metadata comprises data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum; establishing the fact as a frame of reference for the query; applying a first set of rules to the query, wherein the first set of rules are determined for the query according to a second set of rules, wherein the first set of rules determine how the plurality of data are to be compared to the fact, and wherein the first set of rules determine a search space for the query; executing the query to create the probability of the first inference, wherein the probability of the first inference is determined from comparing the plurality of data according to the first set of rules; and storing the probability of the first inference. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. A recordable-type medium storing a computer program product, the computer program product comprising instructions for executing a computer implemented method for inferring a probability of a first inference, wherein the first inference relates to anomalous behavior of a member of a cohort, wherein the anomalous behavior comprises a behavior that is more likely not to occur than to occur, and wherein the computer program product comprises:
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instructions for receiving a query at a database regarding a fact, wherein the first inference is absent from the database, wherein the database comprises a plurality of divergent data, wherein the plurality of divergent data includes a plurality of cohort data, wherein each datum of the database is conformed to the dimensions of the database, wherein each datum of the plurality of data has associated metadata and an associated key, wherein the associated metadata comprises data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum; instructions for establishing the fact as a frame of reference for the query; instructions for applying a first set of rules to the query, wherein the first set of rules are determined for the query according to a second set of rules, wherein the first set of rules determine how the plurality of data are to be compared to the fact, and wherein the first set of rules determine a search space for the query; and instructions for executing the query to create the probability of the first inference, wherein the probability of the first inference is determined from comparing the plurality of data according to the first set of rules.
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20. A data processing system comprising:
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a bus; a processor connected to the bus; a memory connected to the bus, the memory containing a set of instructions, wherein the processor can execute the set of instructions to perform a computer implemented method for inferring a probability of a first inference, wherein the first inference relates to anomalous behavior of a member of a cohort, wherein the anomalous behavior comprises a behavior that is more likely not to occur than to occur, and wherein the processor can execute the set of instructions to; receive a query at a database regarding a fact, wherein the first inference is absent from the database, wherein the database comprises a plurality of divergent data, wherein the plurality of divergent data includes a plurality of cohort data, wherein each datum of the database is conformed to the dimensions of the database, wherein each datum of the plurality of data has associated metadata and an associated key, wherein the associated metadata comprises data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum; establish the fact as a frame of reference for the query; apply a first set of rules to the query, wherein the first set of rules are determined for the query according to a second set of rules, wherein the first set of rules determine how the plurality of data are to be compared to the fact, and wherein the first set of rules determine a search space for the query; execute the query to create the probability of the first inference, wherein the probability of the first inference is determined from comparing the plurality of data according to the first set of rules; and store the probability of the first inference.
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Specification