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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：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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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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