SYSTEMS AND METHODS FOR DATA ANALYSIS
First Claim
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1. A method for selecting a conclusion from a plurality of conclusions, the method comprising:
- generating a plurality of discriminators from one or more provided threshold indicators associated with the conclusion, wherein the plurality of discriminators includes a pair of mutually exclusive and collectively exhaustive discriminators for each of the one or more provided threshold indicators;
selecting a portion of the plurality of discriminators; and
ranking the portion of the plurality of discriminators to create a sequence of discriminators, wherein the sequence of discriminators is for selecting the conclusion for one or more test data sets.
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Abstract
A method for data analysis according to various aspects of the present invention generally includes selecting a conclusion from a plurality of conclusions for one or more test data sets by generating discriminators from one or more threshold indicators associated with the conclusion, selecting a portion of the discriminators, ranking the discriminators in a sequence, and applying the sequence of discriminators to one or more test data sets to select the conclusion.
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Citations
25 Claims
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1. A method for selecting a conclusion from a plurality of conclusions, the method comprising:
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generating a plurality of discriminators from one or more provided threshold indicators associated with the conclusion, wherein the plurality of discriminators includes a pair of mutually exclusive and collectively exhaustive discriminators for each of the one or more provided threshold indicators; selecting a portion of the plurality of discriminators; and ranking the portion of the plurality of discriminators to create a sequence of discriminators, wherein the sequence of discriminators is for selecting the conclusion for one or more test data sets. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22)
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23. A method for selecting a conclusion from a plurality of conclusions using a sequence of provided discriminators, wherein the sequence of provided discriminators are selected and ranked from a plurality of discriminators, and wherein the plurality of discriminators includes a pair of mutually exclusive and collectively exhaustive discriminators generated for each of one or more threshold indicators associated with the conclusion, the method comprising:
applying the sequence of provided discriminators to one or more test data sets to select the conclusion from the plurality of conclusions for the one or more test data sets.
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24. A computer-readable medium having computer-executable instructions for performing a method for selecting a conclusion from a plurality of conclusions, the method comprising:
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generating a plurality of discriminators from one or more provided threshold indicators associated with the conclusion, wherein the plurality of discriminators includes a pair of mutually exclusive and collectively exhaustive discriminators for each of the one or more provided threshold indicators; selecting a portion of the plurality of discriminators; and ranking the portion of the plurality of discriminators to create a sequence of discriminators, wherein the sequence of discriminators is for selecting the conclusion for one or more test data sets.
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25. A system for selecting a conclusion from a plurality of conclusions, the system comprising:
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a processor; a memory coupled to the processor and storing instructions that, when executed by the processor, cause the processor to; generate a plurality of discriminators from one or more provided threshold indicators associated with the conclusion, wherein the plurality of discriminators includes a pair of mutually exclusive and collectively exhaustive discriminators for each of the one or more provided threshold indicators; select a portion of the plurality of discriminators; and rank the portion of the plurality of discriminators to create a sequence of discriminators, wherein the sequence of discriminators is for selecting the conclusion for one or more test data sets.
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Specification