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公开(公告)号：US11727481B2
公开(公告)日：2023-08-15
申请号：US17445439
申请日：2021-08-19
发明人： Alexander Visbal , James Thompson , Marvin Sum , Jason Ma , Bing Jie Fu , Ilya Nepomnyashchiy , Devin Witherspoon , Victoria Lai , Steven Berler , Alexei Smaliy , Suchan Lee
IPC分类号： G06Q40/00 , G06F16/28 , G06F16/9038 , G06F16/2457 , G06F3/0482 , G06F3/04842 , G06Q40/02 , H04L9/40 , G06F12/1036 , G06F16/34 , G06F18/23 , G06F18/40 , G06F21/55
CPC分类号： G06Q40/00 , G06F3/0482 , G06F3/04842 , G06F16/24578 , G06F16/287 , G06F16/9038 , G06Q40/02 , H04L63/1416 , H04L63/1425 , H04L63/1433 , G06F12/1036 , G06F16/34 , G06F18/23 , G06F18/40 , G06F21/552
摘要： Embodiments of the present disclosure relate to a data analysis system that may automatically generate memory-efficient clustered data structures, automatically analyze those clustered data structures, automatically tag and group those clustered data structures, and provide results of the automated analysis and grouping in an optimized way to an analyst. The automated analysis of the clustered data structures (also referred to herein as data clusters) may include an automated application of various criteria or rules so as to generate a tiled display of the groups of related data clusters such that the analyst may quickly and efficiently evaluate the groups of data clusters. In particular, the groups of data clusters may be dynamically re-grouped and/or filtered in an interactive user interface so as to enable an analyst to quickly navigate among information associated with various groups of data clusters and efficiently evaluate those data clusters in the context of, for example, a fraud investigation.
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公开(公告)号：US20180101594A1
公开(公告)日：2018-04-12
申请号：US15839044
申请日：2017-12-12
发明人： John Chakerian , Robert Fink , Mark Schafer , James Thompson , Marvin Sum , Allen Cai
IPC分类号： G06F17/30 , G06F3/0482 , G06F17/21 , G06F3/0484
CPC分类号： G06F16/285 , G06F3/0482 , G06F3/04842 , G06F16/24 , G06F16/24578 , G06F16/287 , G06F16/35 , G06F16/355 , G06F16/93 , G06F16/9535 , G06F17/212
摘要： Systems and methods are disclosed for news events detection and visualization. In accordance with one implementation, a method is provided for news events detection and visualization. The method includes, for example, obtaining one or more documents, the one or more documents being grouped into one or more clusters having a score, and the one or more clusters being grouped into one or more megaclusters, presenting information associated with the one or more documents on one or more timelines, wherein the one or more documents are grouped into different megaclusters being presented in a visually distinct way, and filtering the presented information based on the scores associated with the one or more clusters.
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公开(公告)号：US09875293B2
公开(公告)日：2018-01-23
申请号：US15053177
申请日：2016-02-25
发明人： John Chakerian , Robert Fink , Mark Schafer , James Thompson , Marvin Sum , Allen Cai
IPC分类号： G06F7/02 , G06F17/30 , G06F17/21 , G06F3/0482 , G06F3/0484
CPC分类号： G06F17/30598 , G06F3/0482 , G06F3/04842 , G06F17/212 , G06F17/30011 , G06F17/30386 , G06F17/3053 , G06F17/30601 , G06F17/30705 , G06F17/3071 , G06F17/30867
摘要： Systems and methods are disclosed for news events detection and visualization. In accordance with one implementation, a method is provided for news events detection and visualization. The method includes, for example, obtaining one or more documents, the one or more documents being grouped into one or more clusters having a score, and the one or more clusters being grouped into one or more megaclusters, presenting information associated with the one or more documents on one or more timelines, wherein the one or more documents are grouped into different megaclusters being presented in a visually distinct way, and filtering the presented information based on the scores associated with the one or more clusters.
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公开(公告)号：US11102224B2
公开(公告)日：2021-08-24
申请号：US16553971
申请日：2019-08-28
发明人： Alexander Visbal , James Thompson , Marvin Sum , Jason Ma , Bing Jie Fu , Ilya Nepomnyashchiy , Devin Witherspoon , Victoria Lai , Steven Berler , Alexei Smaliy , Suchan Lee
IPC分类号： H04L29/06 , G06Q40/00 , G06F16/28 , G06F16/9038 , G06F16/2457 , G06F3/0482 , G06F3/0484 , G06Q40/02 , G06F12/1036 , G06K9/62 , G06F16/34 , G06F21/55
摘要： Embodiments of the present disclosure relate to a data analysis system that may automatically generate memory-efficient clustered data structures, automatically analyze those clustered data structures, automatically tag and group those clustered data structures, and provide results of the automated analysis and grouping in an optimized way to an analyst. The automated analysis of the clustered data structures (also referred to herein as data clusters) may include an automated application of various criteria or rules so as to generate a tiled display of the groups of related data clusters such that the analyst may quickly and efficiently evaluate the groups of data clusters. In particular, the groups of data clusters may be dynamically re-grouped and/or filtered in an interactive user interface so as to enable an analyst to quickly navigate among information associated with various groups of data clusters and efficiently evaluate those data clusters in the context of, for example, a fraud investigation.
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公开(公告)号：USD858536S1
公开(公告)日：2019-09-03
申请号：US29596278
申请日：2017-03-07
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公开(公告)号：USD780770S1
公开(公告)日：2017-03-07
申请号：US29508328
申请日：2014-11-05
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公开(公告)号：US10929436B2
公开(公告)日：2021-02-23
申请号：US15839044
申请日：2017-12-12
发明人： John Chakerian , Robert Fink , Mark Schafer , James Thompson , Marvin Sum , Allen Cai
IPC分类号： G06F7/02 , G06F16/00 , G06F16/28 , G06F16/24 , G06F16/35 , G06F16/93 , G06F16/9535 , G06F16/2457 , G06F40/106 , G06F3/0482 , G06F3/0484
摘要： Systems and methods are disclosed for news events detection and visualization. In accordance with one implementation, a method is provided for news events detection and visualization. The method includes, for example, obtaining one or more documents, the one or more documents being grouped into one or more clusters having a score, and the one or more clusters being grouped into one or more megaclusters, presenting information associated with the one or more documents on one or more timelines, wherein the one or more documents are grouped into different megaclusters being presented in a visually distinct way, and filtering the presented information based on the scores associated with the one or more clusters.
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公开(公告)号：US20190387008A1
公开(公告)日：2019-12-19
申请号：US16553971
申请日：2019-08-28
发明人： Alexander Visbal , James Thompson , Marvin Sum , Jason Ma , Bing Jie Fu , Ilya Nepomnyashchiy , Devin Witherspoon , Victoria Lai , Steven Berler , Alexei Smaliy , Suchan Lee
IPC分类号： H04L29/06 , G06Q40/00 , G06F16/28 , G06F16/9038 , G06F16/2457 , G06F3/0482 , G06F3/0484 , G06Q40/02
摘要： Embodiments of the present disclosure relate to a data analysis system that may automatically generate memory-efficient clustered data structures, automatically analyze those clustered data structures, automatically tag and group those clustered data structures, and provide results of the automated analysis and grouping in an optimized way to an analyst. The automated analysis of the clustered data structures (also referred to herein as data clusters) may include an automated application of various criteria or rules so as to generate a tiled display of the groups of related data clusters such that the analyst may quickly and efficiently evaluate the groups of data clusters. In particular, the groups of data clusters may be dynamically re-grouped and/or filtered in an interactive user interface so as to enable an analyst to quickly navigate among information associated with various groups of data clusters and efficiently evaluate those data clusters in the context of, for example, a fraud investigation.
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公开(公告)号：US09881074B2
公开(公告)日：2018-01-30
申请号：US15053155
申请日：2016-02-25
发明人： John Chakerian , Robert Fink , Mark Schafer , James Thompson , Marvin Sum , Allen Cai
IPC分类号： G06F7/02 , G06F17/30 , G06F17/21 , G06F3/0482 , G06F3/0484
CPC分类号： G06F17/30598 , G06F3/0482 , G06F3/04842 , G06F17/212 , G06F17/30011 , G06F17/30386 , G06F17/3053 , G06F17/30601 , G06F17/30705 , G06F17/3071 , G06F17/30867
摘要： Systems and methods are disclosed for news events detection and visualization. In accordance with one implementation, a method is provided for news events detection and visualization. The method includes, for example, obtaining a document vector based from a document, obtaining one or more clusters of documents, each cluster associated with a plurality of documents, a cluster vector, and a cluster weight, determining a matching cluster from the one or more clusters based at least on the similarity between the document vector and the cluster vector of the matching cluster, and associating the document with the matching cluster.
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公开(公告)号：US20160253750A1
公开(公告)日：2016-09-01
申请号：US15151904
申请日：2016-05-11
发明人： Alexander Visbal , James Thompson , Marvin Sum , Jason Ma , Bing Jie Fu , Ilya Nepomnyashchiy , Devin Witherspoon , Victoria Lai , Steven Berler , Alexei Smaliy , Suchan Lee
IPC分类号： G06Q40/00 , G06F3/0482 , G06F3/0484 , G06F17/30
CPC分类号： H04L63/1416 , G06F3/0482 , G06F3/04842 , G06F12/1036 , G06F17/3053 , G06F17/30601 , G06F17/30716 , G06F17/30991 , G06F21/552 , G06K9/6218 , G06K9/6253 , G06Q40/00 , G06Q40/02 , H04L63/1425 , H04L63/1433
摘要： Embodiments of the present disclosure relate to a data analysis system that may automatically generate memory-efficient clustered data structures, automatically analyze those clustered data structures, automatically tag and group those clustered data structures, and provide results of the automated analysis and grouping in an optimized way to an analyst. The automated analysis of the clustered data structures (also referred to herein as data clusters) may include an automated application of various criteria or rules so as to generate a tiled display of the groups of related data clusters such that the analyst may quickly and efficiently evaluate the groups of data clusters. In particular, the groups of data clusters may be dynamically re-grouped and/or filtered in an interactive user interface so as to enable an analyst to quickly navigate among information associated with various groups of data clusters and efficiently evaluate those data clusters in the context of, for example, a fraud investigation.
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