Method and system for recognizing end-user transactions

Details Method and system for recognizing end-user transactions Method and system for recognizing end-user transactions

2005-08-02

2005-08-02

Knight, Anthony (Department: 2121)

Data processing: artificial intelligence

Neural network

Learning task

C706S012000

Reexamination Certificate

active

06925452

ABSTRACT:
A method and system are described for end-user transaction recognition based on server data such as sequences of remote procedure calls (RPCs). The method may comprise machine-learning techniques for pattern recognition such as Bayesian classification, feature extraction mechanisms, and a dynamic-programming approach to segmentation of RPC sequences. The method preferably combines information-theoretic and machine-learning approaches. The system preferably includes a learning engine and an operation engine. A learning engine may comprise a data preparation subsystem (feature extraction) and a Bayes Net learning subsystem (model construction). The operation engine may comprise transaction segmentation and transaction classification subsystems.

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