Cyclicality-Based Rules for Data Anomaly Detection
First Claim
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1. A method for anomaly detection, using cyclicality based rules, said method comprising:
- a first central processing unit receiving a set of parameters for a manufactured or shipped product;
obtaining a set of criteria from a first storage unit;
with respect to a product class, said first central processing unit examining a first criteria to see if said first criteria is met;
if said first criteria is met, then said first central processing unit examining a second criteria to see if said second criteria is met; and
if said first criteria is not met, then said first central processing unit disabling children node generation, which refers to generating an information value level for a classification hierarchy; and
if said second criteria is met, then said first central processing unit checking for exclusions, applying a first treatment for non-excluded items from a second storage unit, and creating rules and disabling children node generation;
otherwise, if said second criteria is not met, then said first central processing unit examining a third criteria to see if said third criteria is met; and
if said third criteria is not met, then said first central processing unit generating children nodes for the hierarchy, and returning said generated children nodes to said product class stored in a third storage unit; and
if said third criteria is met, then said first central processing unit checking for exclusions, applying a second treatment for non-excluded items from said second storage unit, and creating rules and generating children nodes, and returning said generated children nodes to said product class stored in said third storage unit.
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Abstract
In one example, we describe a method that generates cyclicality rules for anomaly detection for a hierarchical/tree based data structure. A new algorithm for processing nodes in hierarchy, as well as business rules for nodes, is described. Variations and examples are given to describe different scopes and embodiments of the invention. Exclusion criteria and children nodes are used as some examples for the implementations, with flow charts to describe the methods of application, as examples.
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Citations
20 Claims
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1. A method for anomaly detection, using cyclicality based rules, said method comprising:
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a first central processing unit receiving a set of parameters for a manufactured or shipped product; obtaining a set of criteria from a first storage unit; with respect to a product class, said first central processing unit examining a first criteria to see if said first criteria is met; if said first criteria is met, then said first central processing unit examining a second criteria to see if said second criteria is met; and if said first criteria is not met, then said first central processing unit disabling children node generation, which refers to generating an information value level for a classification hierarchy; and if said second criteria is met, then said first central processing unit checking for exclusions, applying a first treatment for non-excluded items from a second storage unit, and creating rules and disabling children node generation; otherwise, if said second criteria is not met, then said first central processing unit examining a third criteria to see if said third criteria is met; and if said third criteria is not met, then said first central processing unit generating children nodes for the hierarchy, and returning said generated children nodes to said product class stored in a third storage unit; and if said third criteria is met, then said first central processing unit checking for exclusions, applying a second treatment for non-excluded items from said second storage unit, and creating rules and generating children nodes, and returning said generated children nodes to said product class stored in said third storage unit. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification