SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR A DYNAMIC RULES-BASED THRESHOLD ENGINE

Patent №

US 6,208,720

Granted

2001-03-27

Filed 1998

Owner

MCI COMMUNICATIONS CORPORATION

Lab

AI components

3

kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09066182

A configurable and scalable rules-based thresholding system, method and computer program product for processing event records includes a core infrastructure and a configurable domain-specific implementation. The core infrastructure is generically employed regardless of the actual type of network being monitored. The domain-specific implementation is provided with user specific data and rules. The core infrastructure includes an event record enhancer which enhances events with additional data and a threshold detector which determines whether an enhanced event record, alone or in light of prior event records, exceeds one or more thresholds. The enhancer can access external databases for additional information related to an event record. In one embodiment, the enhancer generates feature vectors to represent enhanced event records. The threshold detector receives enhanced event records from the event record enhancer. The threshold detector selects one or more threshold rules from a database of threshold rules for applying to the enhanced event records. Where enhanced event records are in the form of feature vectors containing features and feature values, the threshold detector selects one or more threshold rules based upon the features or feature values in the vector. Where the feature vector includes a threshold for a feature value, the threshold detector tests the feature values against the threshold. The threshold detector may access prior event records in order to apply one or more threshold rules.

Knowledge representationPlanningAI hardwareH04M 15/47H04M 3/10H04M 3/2218H04M 15/00H04M 15/58H04M 17/00H04M 17/10H04M 17/103+6 more

AI classification

AI hardware1.00
Knowledge representation1.00
Planning1.00
Evolutionary computation0.24
Natural language0.04
Machine learning0.01
Vision0.00
Speech0.00

Ownership

MCI COMMUNICATIONS CORPORATION

assignment · 91540766

Assignors

CURTIS, TERRILL J., DALLAS, CHARLES A., GAVAN, JOHN, HERRINGTON, CHERYL, MAHONE, SARALYN, PAUL, KEVIN, RICHARDS, JIM, VAN ARKEL, HANS, WAGNER, JAMES J.

On an employer assignment, the assignors are typically the inventors.

From the same owner

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