METHOD AND APPARATUS FOR GENERATING DIAGNOSTIC RECOMMENDATIONS FOR ENHANCING PROCESS PERFORMANCE

Patent №

US 7,363,543

Granted

2008-04-22

Filed 2002

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10135775

A diagnostic system monitors the status of other processes over a computer network by collecting status and configuration data, analyzing the data and providing diagnostic recommendations when necessary. The diagnostic system includes a collector module, an analyzer module and an administration client module. The collector module collects statistical data and configuration data from each monitored process and populates a plurality of source data tables or worksheets. The values of the source data are processed by the analyzer module, including component algorithms, which generate a plurality of individual component indexes each associated with a specific aspect of the processes performance. The component indexes are then processed using a weighting algorithm to form a composite index reflecting the overall health of the monitored process. If one or more of the component index values exceed a predefined threshold, the indexes and configuration data are provided to an overall assessment table which identifies the process state which is true and generates one or more diagnostic recommendations, the output of which is stored in memory and is directly accessible to the administration client module. The administration client module enables the display, upon user query, of any of the source data, configuration data, component and composite indexes, and diagnostic recommendations in a variety of different formats as well as searching for the same using any number of specific queries.

Machine learningNatural languageKnowledge representationPlanningAI hardwareG06F 11/3409G06F 11/0715G06F 11/2294G06F 11/3452G06F 11/3466G06F 11/3495G06F 11/3419G06F 2201/81

AI classification

Planning1.00
Knowledge representation0.99
Machine learning0.97
Natural language0.85
AI hardware0.79
Evolutionary computation0.00
Vision0.00
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 130390502

Assignors

PEEBLES, HAROLD L., DEMETRIOU, GEORGE, ZIMMET, CAROL S., DAVIDSON, LORI J., GRIGSBY, JAMES H., VENKATRAMAN, NIRMALA

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

From the same owner

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