Patents by Inventor Johann-Michael Thiebaut
Johann-Michael Thiebaut has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11645311Abstract: 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.Type: GrantFiled: October 20, 2021Date of Patent: May 9, 2023Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Bei Chen, Thanh Lam Hoang, Tiep Mai, Mathieu Sinn, Johann-Michael Thiebaut
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Publication number: 20220035842Abstract: 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.Type: ApplicationFiled: October 20, 2021Publication date: February 3, 2022Inventors: Bei Chen, Thanh Lam Hoang, Tiep Mai, Mathieu Sinn, Johann-Michael Thiebaut
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Patent number: 11200263Abstract: 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.Type: GrantFiled: October 14, 2019Date of Patent: December 14, 2021Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Bei Chen, Thanh Lam Hoang, Tiep Mai, Mathieu Sinn, Johann-Michael Thiebaut
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Patent number: 11048733Abstract: 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.Type: GrantFiled: March 21, 2019Date of Patent: June 29, 2021Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Bei Chen, Thanh Lam Hoang, Tiep Mai, Mathieu Sinn, Johann-Michael Thiebaut
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Publication number: 20200042544Abstract: 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.Type: ApplicationFiled: October 14, 2019Publication date: February 6, 2020Inventors: Bei Chen, Thanh Lam Hoang, Tiep Mai, Mathieu Sinn, Johann-Michael Thiebaut
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Patent number: 10482112Abstract: 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.Type: GrantFiled: December 14, 2017Date of Patent: November 19, 2019Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Bei Chen, Thanh Lam Hoang, Tiep Mai, Mathieu Sinn, Johann-Michael Thiebaut
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Publication number: 20190220472Abstract: 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.Type: ApplicationFiled: March 21, 2019Publication date: July 18, 2019Inventors: Bei Chen, Thanh Lam Hoang, Tiep Mai, Mathieu Sinn, Johann-Michael Thiebaut
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Patent number: 10324961Abstract: 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.Type: GrantFiled: January 17, 2017Date of Patent: June 18, 2019Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Bei Chen, Thanh Lam Hoang, Tiep Mai, Mathieu Sinn, Johann-Michael Thiebaut
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Publication number: 20180203918Abstract: 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.Type: ApplicationFiled: January 17, 2017Publication date: July 19, 2018Inventors: Bei Chen, Thanh Lam Hoang, Tiep Mai, Mathieu Sinn, Johann-Michael Thiebaut
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Publication number: 20180203920Abstract: 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.Type: ApplicationFiled: December 14, 2017Publication date: July 19, 2018Inventors: Bei Chen, Thanh Lam Hoang, Tiep Mai, Mathieu Sinn, Johann-Michael Thiebaut