AUTOMATIC FEATURE EXTRACTION FROM A RELATIONAL DATABASE

Patent №

US 11,200,263

Granted

2021-12-14

Filed 2019

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

3

ml · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16600837

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.

Machine learningKnowledge representationPlanningG06F 16/288G06F 16/2465G06F 16/9024G06F 2216/03

AI classification

Planning1.00
Knowledge representation1.00
Machine learning0.79
AI hardware0.35
Evolutionary computation0.11
Vision0.07
Natural language0.00
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 507040703

Assignors

CHEN, BEI, HOANG, THANH LAM, MAI, TIEP, SINN, MATHIEU, THIEBAUT, JOHANN-MICHAEL

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

From the same owner

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