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公开(公告)号：US10362133B1
公开(公告)日：2019-07-23
申请号：US14750773
申请日：2015-06-25
Applicant: Palantir Technologies Inc.
Inventor： Peter Maag , Tom O'Brien , Peter Tosirisuk , Saad Abdali , Carl Freeland , Greg DeArment , Maciej Albin , Matthew Lynch , Phillip Worton-Cross
Abstract: Various systems and methods are provided that allow reviewers to review and potentially flag processed communication data in order to spot potential malfeasance or illegal activity. Certain systems and methods includes modules for removing duplicate data from the communication data files, generating thread data for email data files, generating lexicon tag data for the data files, removing blacklisted data that meets blacklisted criteria, or generating group association data.
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2.发明申请公开(公告)号：US20180052597A1
公开(公告)日：2018-02-22
申请号：US15782236
申请日：2017-10-12
Applicant: Palantir Technologies Inc.
Inventor： Christopher Stokes , Peter Maag , Tom O'Brien , Naytri Shroff , Maciej Albin , Alexis Daboville
IPC: G06F3/0484 , G06T11/20 , G06F3/0486
Abstract: Embodiments of the present disclosure relate to a data analysis system configured to implement cross-application coordination between a chart creation tool and a data analysis workspace, in order to create one or more charts from customized sets of data points, synchronize chart manipulations between charts, and drill down into the metadata of data points in the created charts. The user uses the data analysis workspace to select, remove, or cherry-pick data items to be used to create a chart, which may be transmitted from the workspace to the chart creation tool as data points. In addition, the user may select the data points in the chart to retrieve one or more identifiers to be transmitted back to the workspace, where they are used to identify the data items associated with the data points, and retrieve the full metadata of the data items.
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公开(公告)号：US10937034B2
公开(公告)日：2021-03-02
申请号：US16297028
申请日：2019-03-08
Applicant: Palantir Technologies Inc.
Inventor： Peter Maag , Tom O'Brien , Phil Cross , Sarun Peter Tosirisuk
Abstract: In various embodiments, systems, methods, and techniques are disclosed for generating a collection of clusters of related data from a seed to assist in detection of financial malfeasance. Seeds may be generated based on seed generation strategies or rules. Clusters may be generated by, for example, retrieving a seed, adding the seed to a first cluster, retrieving a clustering strategy or rules, and adding related data (such as trades, emails or chat messages) and/or data entities to the cluster based on the clustering strategy. Various cluster scores may be generated based on attributes of data in a given cluster, and the clusters may be displayed and ranked based on their scores. Various embodiments may enable an analyst to review clusters of trades, emails and/or chat messages that are the most likely to reveal financial malfeasance.
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公开(公告)号：US10552998B2
公开(公告)日：2020-02-04
申请号：US15782236
申请日：2017-10-12
Applicant: Palantir Technologies Inc.
Inventor： Christopher Stokes , Peter Maag , Tom O'Brien , Naytri Shroff , Maciej Albin , Alexis Daboville
Abstract: Embodiments of the present disclosure relate to a data analysis system configured to implement cross-application coordination between a chart creation tool and a data analysis workspace, in order to create one or more charts from customized sets of data points, synchronize chart manipulations between charts, and drill down into the metadata of data points in the created charts. The user uses the data analysis workspace to select, remove, or cherry-pick data items to be used to create a chart, which may be transmitted from the workspace to the chart creation tool as data points. In addition, the user may select the data points in the chart to retrieve one or more identifiers to be transmitted back to the workspace, where they are used to identify the data items associated with the data points, and retrieve the full metadata of the data items.
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公开(公告)号：US09230280B1
公开(公告)日：2016-01-05
申请号：US14278963
申请日：2014-05-15
Applicant: Palantir Technologies Inc.
Inventor： Peter Maag , Tom O'Brien , Phil Cross , Suran Peter Tosirisuk
IPC: G06Q40/00
CPC classification number: G06Q40/00
Abstract: In various embodiments, systems, methods, and techniques are disclosed for generating a collection of clusters of related data from a seed to assist in detection of financial malfeasance. Seeds may be generated based on seed generation strategies or rules. Clusters may be generated by, for example, retrieving a seed, adding the seed to a first cluster, retrieving a clustering strategy or rules, and adding related data (such as trades, emails or chat messages) and/or data entities to the cluster based on the clustering strategy. Various cluster scores may be generated based on attributes of data in a given cluster, and the clusters may be displayed and ranked based on their scores. Various embodiments may enable an analyst to review clusters of trades, emails and/or chat messages that are the most likely to reveal financial malfeasance.
Abstract translation: 在各种实施例中，公开了系统，方法和技术，用于从种子生成相关数据集合的集合以帮助检测财务不正当性。 可以根据种子生成策略或规则生成种子。 可以通过例如检索种子，将种子添加到第一群集，检索群集策略或规则以及将相关数据（例如交易，电子邮件或聊天消息）和/或数据实体添加到群集中来生成群集 基于聚类策略。 可以基于给定集群中的数据的属性来生成各种集群分数，并且可以基于它们的分数来显示和排名集群。 各种实施例可以使分析者能够检查最有可能揭示财务渎职的交易，电子邮件和/或聊天消息的集群。
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Patent Agency Ranking
公开(公告)号：US11252248B2
公开(公告)日：2022-02-15
申请号：US16439444
申请日：2019-06-12
Applicant: Palantir Technologies Inc.
Inventor： Peter Maag , Tom O'Brien , Sarun Peter Tosirisuk , Saad Abdali , Carl Freeland , Greg DeArment , Maciej Albin , Matthew Lynch , Phillip Worton-Cross
Abstract: Various systems and methods are provided that allow reviewers to review and potentially flag processed communication data in order to spot potential malfeasance or illegal activity. Certain systems and methods includes modules for removing duplicate data from the communication data files, generating thread data for email data files, generating lexicon tag data for the data files, removing blacklisted data that meets blacklisted criteria, or generating group association data.
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公开(公告)号：US20190205897A1
公开(公告)日：2019-07-04
申请号：US16297028
申请日：2019-03-08
Applicant: Palantir Technologies Inc.
Inventor： Peter Maag , Tom O'Brien , Phil Cross , Sarun Peter Tosirisuk
CPC classification number: G06Q30/0185 , G06Q40/00 , G06Q40/04
Abstract: In various embodiments, systems, methods, and techniques are disclosed for generating a collection of clusters of related data from a seed to assist in detection of financial malfeasance. Seeds may be generated based on seed generation strategies or rules. Clusters may be generated by, for example, retrieving a seed, adding the seed to a first cluster, retrieving a clustering strategy or rules, and adding related data (such as trades, emails or chat messages) and/or data entities to the cluster based on the clustering strategy. Various cluster scores may be generated based on attributes of data in a given cluster, and the clusters may be displayed and ranked based on their scores. Various embodiments may enable an analyst to review clusters of trades, emails and/or chat messages that are the most likely to reveal financial malfeasance.
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公开(公告)号：US09817563B1
公开(公告)日：2017-11-14
申请号：US14584961
申请日：2014-12-29
Applicant: PALANTIR TECHNOLOGIES INC.
Inventor： Christopher Stokes , Peter Maag , Tom O'Brien , Naytri Shroff , Maciej Albin , Alexis Daboville
IPC: G06F3/0484 , G06F3/0486 , G06T11/20
CPC classification number: G06T11/206
Abstract: Embodiments of the present disclosure relate to a data analysis system configured to implement cross-application coordination between a chart creation tool and a data analysis workspace, in order to create one or more charts from customized sets of data points, synchronize chart manipulations between charts, and drill down into the metadata of data points in the created charts. The user uses the data analysis workspace to select, remove, or cherry-pick data items to be used to create a chart, which may be transmitted from the workspace to the chart creation tool as data points. In addition, the user may select the data points in the chart to retrieve one or more identifiers to be transmitted back to the workspace, where they are used to identify the data items associated with the data points, and retrieve the full metadata of the data items.
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公开(公告)号：US20190297163A1
公开(公告)日：2019-09-26
申请号：US16439444
申请日：2019-06-12
Applicant: Palantir Technologies Inc.
Inventor： Peter Maag , Tom O'Brien , Peter Tosirisuk , Saad Abdali , Carl Freeland , Greg DeArment , Maciej Albin , Matthew Lynch , Phillip Worton-Cross
Abstract: Various systems and methods are provided that allow reviewers to review and potentially flag processed communication data in order to spot potential malfeasance or illegal activity. Certain systems and methods includes modules for removing duplicate data from the communication data files, generating thread data for email data files, generating lexicon tag data for the data files, removing blacklisted data that meets blacklisted criteria, or generating group association data.
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公开(公告)号：US10275778B1
公开(公告)日：2019-04-30
申请号：US14984505
申请日：2015-12-30
Applicant: Palantir Technologies Inc.
Inventor： Peter Maag , Tom O'Brien , Phil Cross , Sarun Peter Tosirisuk
Abstract: In various embodiments, systems, methods, and techniques are disclosed for generating a collection of clusters of related data from a seed to assist in detection of financial malfeasance. Seeds may be generated based on seed generation strategies or rules. Clusters may be generated by, for example, retrieving a seed, adding the seed to a first cluster, retrieving a clustering strategy or rules, and adding related data (such as trades, emails or chat messages) and/or data entities to the cluster based on the clustering strategy. Various cluster scores may be generated based on attributes of data in a given cluster, and the clusters may be displayed and ranked based on their scores. Various embodiments may enable an analyst to review clusters of trades, emails and/or chat messages that are the most likely to reveal financial malfeasance.
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