Machine-learning-automated recognition and labelling of columnar data

    公开(公告)号:US12204515B1

    公开(公告)日:2025-01-21

    申请号:US18238135

    申请日:2023-08-25

    Abstract: A computer-implemented method includes receiving input data that is organized into a set of rows and a set of columns. The method includes maintaining a machine learning header model that is trained on tabular data with header rows. The method includes supplying the input data as input to the machine learning header model to generate header row identification data that identifies a set of header rows that is a subset of the set of rows. The method includes maintaining a machine learning column model that is trained on tabular data. The method includes supplying the header row identification data and features of the input data to the machine learning column model to generate column label data that applies a set of defined labels to the set of columns. The method includes generating output data that is organized into rows and columns.

    MACHINE-LEARNING-AUTOMATED RECOGNITION AND LABELLING OF COLUMNAR DATA

    公开(公告)号:US20250068610A1

    公开(公告)日:2025-02-27

    申请号:US18545020

    申请日:2023-12-19

    Abstract: A computer-implemented method includes receiving input data that is organized into a set of rows and a set of columns. A column of the set of columns includes data associated with a set of product types. A first row of the set of rows includes data associated with an individual of a set of individuals and a first product type of the set of product types. A second row of the set of rows includes data associated with the individual and a second product type of the set of product types. The method includes splitting the input data into a first data structure associated with the first product type and a second data structure associated with the second product type. The method includes generating output data that is organized into rows and columns by merging the first data structure and the second data structure into a unified data structure.

    PREDICTIVE MODEL FOR COPY-PASTE OPERATIONS

    公开(公告)号:US20250060863A1

    公开(公告)日:2025-02-20

    申请号:US18234141

    申请日:2023-08-15

    Inventor: William Sniffen

    Abstract: Methods and systems for automating copy-paste operations are provided. The methods and systems generate for display a first graphical user interface (GUI) comprising one or more fields and receive user input associated with the first GUI. The methods and systems, in response to receiving the user input, analyze the one or more fields of the first GUI using a machine learning model to generate one or more copy-paste operations. The methods and systems, in response to receiving the user input, present a prompt on the first GUI comprising the one or more copy-paste operations and automatically copy data displayed in the one or more fields to one or more fields of a database.

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