EFFICIENT SERVICE RULES CREATION THROUGH SUBJECTIVE LOGIC AND TEMPORAL PATTERN RECOGNITION
First Claim
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1. A method for developing service rules, said method comprising:
- gathering a plurality of business data sets from a plurality of sources;
combining said business data sets among said plurality of business data sets into combined business data to produce a level of confidence in said combined business data;
evaluating said combined business data for temporal patterns therein; and
generating a service rule corresponding to said combined business data and said temporal error patterns.
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Abstract
A method for generating service rules corresponding to business data is disclosed. A plurality of business related data is gathered from various sources. The data is combined using a subjective logic technique. The data is then evaluated for temporal patterns. Finally a set of service rules corresponding to the combined business data are developed.
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Citations
20 Claims
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1. A method for developing service rules, said method comprising:
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gathering a plurality of business data sets from a plurality of sources; combining said business data sets among said plurality of business data sets into combined business data to produce a level of confidence in said combined business data; evaluating said combined business data for temporal patterns therein; and generating a service rule corresponding to said combined business data and said temporal error patterns. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method for developing service rules comprising:
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gathering a plurality of business data sets from a plurality of sources; combining said business data sources to produce a level of confidence in said combined business data by; determining a belief vector and an uncertainty mass for each of said business data sets; and evaluating each of said business data set'"'"'s belief vector and uncertainty mass with a subjective logic technique; evaluating said combined business data for temporal patterns by; determining an event sequence; defining a window associated with said event sequence; evaluating said event sequence for a failure signature; and determining the frequency said window covers said failure signature; and generating a service rule corresponding to said combined business data and said temporal error patterns. - View Dependent Claims (9, 10, 11, 12, 13)
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14. A system for developing service rules, comprising:
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a processor; a data bus coupled to said processor; and a computer-usable medium embodying computer code, said computer-usable medium being coupled to said data bus, said computer program code comprising instructions executable by said processor and configured for; gathering a plurality of business data sets from a plurality of sources; combining said business data sets among said plurality of business data sets into combined business data to produce a level of confidence in said combined business data; evaluating said combined business data for temporal patterns therein; and generating a service rule corresponding to said combined business data and said temporal error patterns. - View Dependent Claims (15, 16, 17, 18, 19, 20)
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Specification