Information processing system
First Claim
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1. A computing system comprising:
- an information processing system coupled to a plurality of sensors, the information processing system operable to;
receive information from the plurality of sensors;
generate a plurality of records from the received information, each of the plurality of records comprising an alphanumeric cipher;
bind, using the alphanumeric cipher, a first record of the plurality of records to a first subset of the plurality of records, the first subset sharing a common time period with the first record;
bind, using the alphanumeric cipher, the first record to a second subset of the plurality of records that share a common criterion with the first record, the second subset being organized according to a level of specificity, wherein organization of the second subset with respect to the first subset indicates historical information of the first record; and
detect an abnormality of the first record by comparing the first record with the first subset or the second subset,wherein the information processing system is configured to organize the second subset of records according to a level of specificity, is configured to apply a time fading factor to each record, the time fading factor indicative of a relevancy of the record that reduces proportionally with respect to the historical information, and is configured to automatically generate a normalcy pattern based on the relevancy of the records such that users may access information from at least one first record that is relevant to a second record of interest in real time.
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Abstract
According to one embodiment, an information processing system is coupled to a number of sensors for receiving information generated by the sensors. The information processing system generates records from the received information and binds the records in a multi-dimensional structure including a temporal dimension and another dimension including other records that share a common criterion. The information processing system compares a particular record against other records to detect an abnormality of the particular record.
11 Citations
23 Claims
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1. A computing system comprising:
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an information processing system coupled to a plurality of sensors, the information processing system operable to; receive information from the plurality of sensors; generate a plurality of records from the received information, each of the plurality of records comprising an alphanumeric cipher; bind, using the alphanumeric cipher, a first record of the plurality of records to a first subset of the plurality of records, the first subset sharing a common time period with the first record; bind, using the alphanumeric cipher, the first record to a second subset of the plurality of records that share a common criterion with the first record, the second subset being organized according to a level of specificity, wherein organization of the second subset with respect to the first subset indicates historical information of the first record; and detect an abnormality of the first record by comparing the first record with the first subset or the second subset, wherein the information processing system is configured to organize the second subset of records according to a level of specificity, is configured to apply a time fading factor to each record, the time fading factor indicative of a relevancy of the record that reduces proportionally with respect to the historical information, and is configured to automatically generate a normalcy pattern based on the relevancy of the records such that users may access information from at least one first record that is relevant to a second record of interest in real time. - View Dependent Claims (2)
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3. A computing system comprising:
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an information processing system coupled to a plurality of sensors, the information processing system operable to; receive information from the plurality of sensors; generate a plurality of records from the received information; bind a first record of the plurality of records to a first subset of the plurality of records, the first subset sharing a common time period with the first record; bind the first record to a second subset of the plurality of records that share a common criterion with the first record, the binding of the first record to the first and second subsets generating a cross-reference indicating historical information of the first record; and detect an abnormality of the first record by comparing the first record with the first subset or the second subset, wherein the information processing system is configured to organize the second subset of records according to a level of specificity, is configured to apply a time fading factor to each record, the time fading factor indicative of a relevancy of the record that reduces proportionally with respect to the historical information, and is configured to automatically generate a normalcy pattern based on the relevancy of the records such that users may access information from at least one first record that is relevant to a second record of interest in real time. - View Dependent Claims (4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A method comprising:
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receiving information in a processor from a plurality of sensors; generating a plurality of records from the received information; binding a first record of the plurality of records to a first subset of the plurality of records, the first subset sharing a common time period with the first record; and binding the first record to a second subset of the plurality of records that share a common criterion with the first record; generating a cross-reference indicating historical information of the first record based on the binding of the first record to the first and second subsets; and detecting an abnormality of the first record by comparing the first record with the first subset or the second subset, organizing the second subset of records according to a level of specificity; applying a time fading factor to each record, the time fading factor indicative of a relevancy of the record that reduces proportionally with respect to the historical information; and automatically generate a normalcy pattern based on the relevancy of the records such that users may access information from at least one first record that is relevant to a second record of interest in real time. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22, 23)
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Specification