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公开(公告)号：US20220245556A1
公开(公告)日：2022-08-04
申请号：US17659643
申请日：2022-04-18
发明人： Mary Krone , Ryan Weber , Ana Paula Azevedo Travassos , Laura Waterbury , Paulo Mei , Mayumi Assato , Shubham Kedia , Nitin Basant , Chisoo Lyons
IPC分类号： G06Q10/06 , G06F16/9038 , G06F16/9035 , G06N20/00
摘要： Computer-implemented methods, systems and products for analytics and discovery of patterns or signals. The method includes a set of operations or steps, including collecting data from a plurality of data sources, the data having a plurality of associated data types, and filtering the collected data based on identifying viable data sources from which the data is collected. The method further includes prioritizing discovery objectives based on analyzing the filtering results, and enriching the filtered collected data from viable data sources according to the prioritized discovery objectives. The method further includes extracting one or more signals from the enriched data using one or more machine learning mechanisms in combination with qualified subject matter expertise input, and graphically displaying the extracted signals in a meaningful way to a human operator such that the human operator is enabled to understand importance of extracted signals.
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公开(公告)号：US20200097881A1
公开(公告)日：2020-03-26
申请号：US16557572
申请日：2019-08-30
发明人： Mary Krone , Ryan Weber , Ana Paula Azevedo Travassos, Travassos , Laura Waterbury , Paulo Mei , Mayumi Assato , Shubham Kedia , Nitin Basant , Chisoo Lyons
IPC分类号： G06Q10/06 , G06N20/00 , G06F16/9035 , G06F16/9038
摘要： Computer-implemented methods, systems and products for analytics and discovery of patterns or signals. The method includes a set of operations or steps, including collecting data from a plurality of data sources, the data having a plurality of associated data types, and filtering the collected data based on identifying viable data sources from which the data is collected. The method further includes prioritizing discovery objectives based on analyzing the filtering results, and enriching the filtered collected data from viable data sources according to the prioritized discovery objectives. The method further includes extracting one or more signals from the enriched data using one or more machine learning mechanisms in combination with qualified subject matter expertise input, and graphically displaying the extracted signals in a meaningful way to a human operator such that the human operator is enabled to understand importance of extracted signals.
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公开(公告)号：US11966873B2
公开(公告)日：2024-04-23
申请号：US17659643
申请日：2022-04-18
发明人： Mary Krone , Ryan Weber , Ana Paula Azevedo Travassos , Laura Waterbury , Paulo Mei , Mayumi Assato , Shubham Kedia , Nitin Basant , Chisoo Lyons
IPC分类号： G06F7/00 , G06F16/9035 , G06F16/9038 , G06N20/00 , G06Q10/0639 , G06Q10/067
CPC分类号： G06Q10/06395 , G06F16/9035 , G06F16/9038 , G06N20/00 , G06Q10/067
摘要： Computer-implemented methods, systems and products for analytics and discovery of patterns or signals. The method includes a set of operations or steps, including collecting data from a plurality of data sources, the data having a plurality of associated data types, and filtering the collected data based on identifying viable data sources from which the data is collected. The method further includes prioritizing discovery objectives based on analyzing the filtering results, and enriching the filtered collected data from viable data sources according to the prioritized discovery objectives. The method further includes extracting one or more signals from the enriched data using one or more machine learning mechanisms in combination with qualified subject matter expertise input, and graphically displaying the extracted signals in a meaningful way to a human operator such that the human operator is enabled to understand importance of extracted signals.
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公开(公告)号：US11341449B2
公开(公告)日：2022-05-24
申请号：US16557572
申请日：2019-08-30
发明人： Mary Krone , Ryan Weber , Ana Paula Azevedo Travassos , Laura Waterbury , Paulo Mei , Mayumi Assato , Shubham Kedia , Nitin Basant , Chisoo Lyons
IPC分类号： G06F7/00 , G06Q10/06 , G06F16/9038 , G06F16/9035 , G06N20/00
摘要： Computer-implemented methods, systems and products for analytics and discovery of patterns or signals. The method includes a set of operations or steps, including collecting data from a plurality of data sources, the data having a plurality of associated data types, and filtering the collected data based on identifying viable data sources from which the data is collected. The method further includes prioritizing discovery objectives based on analyzing the filtering results, and enriching the filtered collected data from viable data sources according to the prioritized discovery objectives. The method further includes extracting one or more signals from the enriched data using one or more machine learning mechanisms in combination with qualified subject matter expertise input, and graphically displaying the extracted signals in a meaningful way to a human operator such that the human operator is enabled to understand importance of extracted signals.
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公开(公告)号：US20240220907A1
公开(公告)日：2024-07-04
申请号：US18608128
申请日：2024-03-18
发明人： Mary Krone , Ryan Weber , Ana Paula Azevedo Travassos , Laura Waterbury , Paulo Mei , Mayumi Assato , Shubham Kedia , Nitin Basant , Chisoo Lyons
IPC分类号： G06Q10/0639 , G06F16/9035 , G06F16/9038 , G06N20/00 , G06Q10/067
CPC分类号： G06Q10/06395 , G06F16/9035 , G06F16/9038 , G06N20/00 , G06Q10/067
摘要： Computer-implemented methods, systems and products for analytics and discovery of patterns or signals. The method includes a set of operations or steps, including collecting data from a plurality of data sources, the data having a plurality of associated data types, and filtering the collected data based on identifying viable data sources from which the data is collected. The method further includes prioritizing discovery objectives based on analyzing the filtering results, and enriching the filtered collected data from viable data sources according to the prioritized discovery objectives. The method further includes extracting one or more signals from the enriched data using one or more machine learning mechanisms in combination with qualified subject matter expertise input, and graphically displaying the extracted signals in a meaningful way to a human operator such that the human operator is enabled to understand importance of extracted signals.
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公开(公告)号：US20200097591A1
公开(公告)日：2020-03-26
申请号：US16137230
申请日：2018-09-20
发明人： Nitin Basant , Paulo Mei , Mary Krone , Laura Waterbury , Shubham Kedia , Ana Paula Azevedo Travassos , Mayumi Assato , Ryan Weber
IPC分类号： G06F17/30
摘要： One or more datasets are received by a data wrangling module and wrangled into a form that is computationally actionable by a user. At least some data from the one or more datasets are enriched by one or more data enrichment modules to generate an enriched form of at least some data corresponding to the one or more datasets that is computationally actionable by the user. The one or more datasets and the enriched form of the at least some data are processed by a signal detection module to identify relationships, anomalies, and/or patterns within the one or more datasets.
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公开(公告)号：US10885055B2
公开(公告)日：2021-01-05
申请号：US16137230
申请日：2018-09-20
发明人： Nitin Basant , Paulo Mei , Mary Krone , Laura Waterbury , Shubham Kedia , Ana Paula Azevedo Travassos , Mayumi Assato , Ryan Weber
IPC分类号： G06F7/00 , G06F16/25 , G06F16/215
摘要： One or more datasets are received by a data wrangling module and wrangled into a form that is computationally actionable by a user. At least some data from the one or more datasets are enriched by one or more data enrichment modules to generate an enriched form of at least some data corresponding to the one or more datasets that is computationally actionable by the user. The one or more datasets and the enriched form of the at least some data are processed by a signal detection module to identify relationships, anomalies, and/or patterns within the one or more datasets.
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