Method and apparatus for discovering evolutionary changes within a system
First Claim
Patent Images
1. An adaptive system modeling method comprising:
- selecting from a plurality of candidate features of a system a set of input features and a superset of the input features and other features by using a baseline significance signature;
generating a system model by using data corresponding to the selected input features set;
maintaining online data corresponding to the superset of the input features and other features collected from the system;
determining a new significance signature of the system by using the online superset data to perform a discriminant analysis of the candidate features; and
detecting an evolutionary change in the system by comparing the new significance signature and the baseline significance signature.
1 Assignment
0 Petitions
Accused Products
Abstract
An adaptive system modeling method is provided. A system model is generated by using data corresponding to an input features set selected by using a baseline significance signature of the system. A superset of the input features and other features also is selected by using the baseline significance signature. Data collected from the system corresponding to the superset is maintained online. A new significance signature of the system is periodically or intermittently determined by performing a discriminant analysis using the online superset data, and is used to detect an evolutionary change in the system.
-
Citations
15 Claims
-
1. An adaptive system modeling method comprising:
-
selecting from a plurality of candidate features of a system a set of input features and a superset of the input features and other features by using a baseline significance signature;
generating a system model by using data corresponding to the selected input features set;
maintaining online data corresponding to the superset of the input features and other features collected from the system;
determining a new significance signature of the system by using the online superset data to perform a discriminant analysis of the candidate features; and
detecting an evolutionary change in the system by comparing the new significance signature and the baseline significance signature. - View Dependent Claims (2, 7, 10)
-
-
3. An adaptive system modeling method comprising:
-
determining a baseline significance signature of current behavior of a system by performing a discriminant analysis;
selecting from a plurality of candidate features a set of input features and a superset of the input features and other features by using the baseline significance signature;
generating a system model by using data corresponding to the selected input features set; and
maintaining online data corresponding to the superset of the input features and other features collected from the system. - View Dependent Claims (4, 5, 8, 11)
-
-
6. An adaptive system modeling method comprising:
-
determining a baseline significance signature of current behavior of a system by using a decision tree methodology to perform a discriminant analysis;
selecting from a plurality of candidate features of a system a set of input features by using the baseline significance signature; and
generating a system model by using data corresponding to the selected input features set. - View Dependent Claims (9, 12)
-
-
13. A computer data signal embodied in a transmission medium which embodies instructions executable by a computer to perform the method of 1.
-
14. A computer data signal embodied in a transmission medium which embodies instructions executable by a computer to perform the method of 3.
-
15. A computer data signal embodied in a transmission medium which embodies instructions executable by a computer to perform the method of 6.
Specification