Invention Grant
- Patent Title: Automatic feature extraction from a relational database
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Application No.: US17451512Application Date: 2021-10-20
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Publication No.: US11645311B2Publication Date: 2023-05-09
- Inventor: Bei Chen , Thanh Lam Hoang , Tiep Mai , Mathieu Sinn , Johann-Michael Thiebaut
- 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: Amin, Turocy & Watson, LLP
- Main IPC: G06F16/2458
- IPC: G06F16/2458 ; G06F16/28 ; G06F16/901

Abstract:
Techniques facilitating automatic feature extraction from a relational database are provided. In an embodiment, a method can include generating an entity graph based on a relational database, wherein the entity graph comprises a first node associated with a first table in the relational database and a second node associated with a second table in the relational database. In another embodiment, the method can include joining the first table and the second table based on an edge between the first table and the second table defined by the entity graph, wherein a resulting joined table is connected by a column of data. In another embodiment, the method can include extracting a feature from the column of data using a data mining algorithm selected from a set of data mining algorithms based on a type of data in the column of data.
Public/Granted literature
- US20220035842A1 AUTOMATIC FEATURE EXTRACTION FROM A RELATIONAL DATABASE Public/Granted day:2022-02-03
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