Invention Grant
- Patent Title: Domain-oriented predictive model feature recommendation system
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Application No.: US15613404Application Date: 2017-06-05
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Publication No.: US10817568B2Publication Date: 2020-10-27
- Inventor: Carlos Alzate Perez , Bei Chen , Ulrike Fischer , Yassine Lassoued
- 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: Griffiths & Seaton PLLC
- Main IPC: G06F17/27
- IPC: G06F17/27 ; G06F16/9032 ; G06N20/00 ; G06F16/21 ; G06F16/9535 ; G06F16/2452

Abstract:
Embodiments for recommending predictive modeling methods and features by a processor. One or more extracted methods and features of one or more predictive models are received according to selected criteria from both a structured database and from one or more data sources from a remote database. One or more extracted predictive model methods and features may be recommended according to the selected criteria.
Public/Granted literature
- US20180349514A1 DOMAIN-ORIENTED PREDICTIVE MODEL FEATURE RECOMMENDATION SYSTEM Public/Granted day:2018-12-06
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