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US 2011/0218836 A1Published application
Seasonality-Based Rules for Data Anomaly Detection
AssigneeNTelx, Inc.
InventorsLusine Yepremyan, Amrinder Arora, Christopher Kakovitch
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Abstract
In one embodiment, we describe a method that generates seasonality 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.
Claims20
A method for anomaly detection, using seasonality based rules, said method comprising:
- receiving a set of parameters;
- obtaining a set of criteria from a storage unit;
- with respect to a product class, examining a first criteria to see if said first criteria is met;
- if said first criteria is met, then examining a second criteria to see if said second criteria is met;
- and
- if said second criteria is met, then checking for exclusions, applying a first treatment for non-excluded items, and creating rules;
- otherwise, if said second criteria is not met, then examining a third criteria to see if said third criteria is met;
- and
- if said third criteria is not met, then generating children nodes for a hierarchy, and returning said generated children nodes to said product class.
6 more elements
Dependencies are inferred from the claim text.