Invention Grant
- Patent Title: Automatic rule learning in shared resource solution design
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Application No.: US17208834Application Date: 2021-03-22
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Publication No.: US11645583B2Publication Date: 2023-05-09
- Inventor: Hamid R. Motahari Nezhad , Taiga Nakamura , Peifeng Yin
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Sherman IP LLP
- Agent Kenneth L. Sherman; Steven Laut
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06N5/025 ; G06Q10/00 ; G06F9/50

Abstract:
One embodiment provides automatically learning shared resource environment solution design rules from a collection of requirement-solution pairs including obtaining requirement-solution pairs for a shared resource environment from a data store. A processor iteratively generates a candidate design rule set from each requirement-solution pair. Each generating iteration uses an input including the candidate design rule set output from a previous generating iteration. Evidence scores of each candidate design rule are calculated and candidate design rules having higher evidence score than an evidence score threshold are retained to obtain a learned design rule set. Candidate rules of a next iteration are constructed based on an addition of new attributes to rules of the learned design rule set.
Public/Granted literature
- US20210209511A1 AUTOMATIC RULE LEARNING IN SHARED RESOURCE SOLUTION DESIGN Public/Granted day:2021-07-08
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