Patent ID: 8306943
Filing Date: 2012-11-06
Classification: G06Q

Abstract:
1. A method for anomaly detection, using seasonality 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 wherein children node generation 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.