SYSTEM AND METHOD FOR DATA ANOMALY DETECTION PROCESS IN ASSESSMENTS
First Claim
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1. A computer-implemented method comprising:
- identifying at least one attribute of a user;
determining an attention level of the user with the identified at least one attribute;
analyzing the attention level of the user; and
classifying an action of the user as an attention deficiency event using the analyzed attention level of the user.
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Abstract
A method, computer program product, and computer system for identifying at least one attribute of a user. An attention level of the user is determined with the identified at least one attribute. The attention level of the user is analyzed. An action of the user is classified as an attention deficiency event using the analyzed attention level of the user.
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Citations
21 Claims
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1. A computer-implemented method comprising:
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identifying at least one attribute of a user; determining an attention level of the user with the identified at least one attribute; analyzing the attention level of the user; and classifying an action of the user as an attention deficiency event using the analyzed attention level of the user. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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20. A computer program product residing on a computer readable medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform operations comprising:
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identifying at least one attribute of a user; determining an attention level of the user with the identified at least one attribute; analyzing the attention level of the user; and classifying an action of the user as an attention deficiency event using the analyzed attention level of the user.
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21. A computing system including a processor and memory configured to perform operations comprising:
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identifying at least one attribute of a user; determining an attention level of the user with the identified at least one attribute; analyzing the attention level of the user; and classifying an action of the user as an attention deficiency event using the analyzed attention level of the user.
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Specification