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公开(公告)号：US09965937B2
公开(公告)日：2018-05-08
申请号：US14473920
申请日：2014-08-29
Applicant: Palantir Technologies Inc.
Inventor： David Cohen , Jason Ma , Bing Jie Fu , Ilya Nepomnyashchiy , Steven Berler , Alex Smaliy , Jack Grossman , James Thompson , Julia Boortz , Matthew Sprague , Parvathy Menon , Michael Kross , Michael Harris , Adam Borochoff
CPC classification number: G08B21/18 , G06F3/04842 , H04L63/0281 , H04L63/1433 , H04L63/145
Abstract: 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, and provide results of the automated analysis 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 compact, human-readable analysis of the data clusters. The human-readable analyzes (also referred to herein as “summaries” or “conclusions”) of the data clusters may be organized into an interactive user interface so as to enable an analyst to quickly navigate among information associated with various data clusters and efficiently evaluate those data clusters in the context of, for example, a fraud investigation. Embodiments of the present disclosure also relate to automated scoring of the clustered data structures.
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公开(公告)号：US20180081531A1
公开(公告)日：2018-03-22
申请号：US15826402
申请日：2017-11-29
Applicant: Palantir Technologies Inc.
Inventor： Jason Ma , Aaron Davidson
IPC: G06F3/0484 , G06F17/30 , G06F3/14 , G06F3/0481
CPC classification number: G06F3/04847 , G06F3/0481 , G06F3/1407 , G06F16/904
Abstract: Embodiments of the present disclosure relate to user interfaces and systems that may enable dynamic and interactive access of, investigation of, and analysis of data objects stored in one or more databases. The data objects may be accessed from the one or more databases, and presented in multiple related portions of a display. In particular, the system provides a time-based visualization of data objects (and/or properties associated with the data objects) to a user such that the user may, for example, determine connections between various data objects, observe flows of information among data objects, and/or investigate related data objects.
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公开(公告)号：US09857958B2
公开(公告)日：2018-01-02
申请号：US14696069
申请日：2015-04-24
Applicant: Palantir Technologies Inc.
Inventor： Jason Ma , Aaron Davidson
IPC: G06F3/048 , G06F3/0484 , G06F3/14 , G06F3/0481 , G06F17/30
CPC classification number: G06F3/04847 , G06F3/0481 , G06F3/1407 , G06F17/30994
Abstract: Embodiments of the present disclosure relate to user interfaces and systems that may enable dynamic and interactive access of, investigation of, and analysis of data objects stored in one or more databases. The data objects may be accessed from the one or more databases, and presented in multiple related portions of a display. In particular, the system provides a time-based visualization of data objects (and/or properties associated with the data objects) to a user such that the user may, for example, determine connections between various data objects, observe flows of information among data objects, and/or investigate related data objects.
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公开(公告)号：US09852195B2
公开(公告)日：2017-12-26
申请号：US15397562
申请日：2017-01-03
Applicant: Palantir Technologies Inc.
Inventor： Jason Ma , Brian Lee , Evan Minamoto
IPC: G06F17/30 , G06T11/20 , G06F3/0484
CPC classification number: G06F17/30554 , G06F3/0482 , G06F3/04842 , G06F3/04847 , G06F17/30876 , G06Q10/067 , G06T11/206 , G09B29/00
Abstract: An event matrix may comprise labels and indicators corresponding to objects and links of an ontology. The objects and links may be determined from a plurality of data sources by a data integration system. Some of the labels may correspond to event objects, and may be arranged in a first spatial dimension at least in part on the basis of dates associated with said event objects. Other labels may correspond to non-event objects, and may be arranged in a second spatial dimension. Indicators may correspond to links between the event and non-event objects. An indicator for a particular link may be positioned with respect to the first and second spatial dimensions in accordance with the locations of the labels that correspond to the objects connected by the link.
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公开(公告)号：US20170116294A1
公开(公告)日：2017-04-27
申请号：US15397562
申请日：2017-01-03
Applicant: Palantir Technologies Inc.
Inventor： Jason Ma , Brian Lee , Evan Minamoto
CPC classification number: G06F17/30554 , G06F3/0482 , G06F3/04842 , G06F3/04847 , G06F17/30876 , G06Q10/067 , G06T11/206 , G09B29/00
Abstract: An event matrix may comprise labels and indicators corresponding to objects and links of an ontology. The objects and links may be determined from a plurality of data sources by a data integration system. Some of the labels may correspond to event objects, and may be arranged in a first spatial dimension at least in part on the basis of dates associated with said event objects. Other labels may correspond to non-event objects, and may be arranged in a second spatial dimension. Indicators may correspond to links between the event and non-event objects. An indicator for a particular link may be positioned with respect to the first and second spatial dimensions in accordance with the locations of the labels that correspond to the objects connected by the link.
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Patent Agency Ranking
36.发明授权Systems and user interfaces for dynamic and interactive investigation of bad actor behavior based on automatic clustering of related data in various data structures 有权基于各种数据结构中相关数据的自动聚类，对不良行为行为进行动态和交互式调查的系统和用户界面公开(公告)号：US09589299B2
公开(公告)日：2017-03-07
申请号：US15151904
申请日：2016-05-11
Applicant: Palantir Technologies Inc.
Inventor： Alexander Visbal , James Thompson , Marvin Sum , Jason Ma , Bing Jie Fu , Ilya Nepomnyashchiy , Devin Witherspoon , Victoria Lai , Steven Berler , Alexei Smaliy , Suchan Lee
IPC: G06Q40/00 , G06F3/0482 , G06F3/0484 , G06F12/10 , G06F17/30 , G06K9/62
CPC classification number: 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
Abstract: 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.
Abstract translation: 本公开的实施例涉及一种数据分析系统，其可以自动生成存储器有效的集群数据结构，自动分析这些集群数据结构，自动标记和分组这些集群数据结构，并且提供自动化分析和分组的结果。 分析师的方式。 集群数据结构（本文也称为数据集群）的自动分析可以包括各种标准或规则的自动化应用，以便生成相关数据集群组的平铺显示，使得分析者可以快速有效地评估 数据集群。 特别地，可以在交互式用户界面中动态地重新分组和/或过滤数据集群，以便分析人员可以在与各种数据集群相关联的信息之间快速导航，并在上下文中有效地评估那些数据集群 例如欺诈调查。
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37.发明授权Systems and user interfaces for dynamic and interactive investigation of bad actor behavior based on automatic clustering of related data in various data structures 有权基于各种数据结构中相关数据的自动聚类，对不良行为行为进行动态和交互式调查的系统和用户界面公开(公告)号：US09367872B1
公开(公告)日：2016-06-14
申请号：US14579752
申请日：2014-12-22
Applicant: Palantir Technologies Inc.
Inventor： Alexander Visbal , James Thompson , Marvin Sum , Jason Ma , Bing Jie Fu , Ilya Nepomnyashchiy , Devin Witherspoon , Vicktoria Lai , Steven Berler , Alexei Smaliy , Suchan Lee
CPC classification number: 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
Abstract: 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.
Abstract translation: 本公开的实施例涉及一种数据分析系统，其可以自动生成存储器有效的集群数据结构，自动分析这些集群数据结构，自动标记和分组这些集群数据结构，并且提供自动化分析和分组的结果。 分析师的方式。 集群数据结构（本文也称为数据集群）的自动分析可以包括各种标准或规则的自动化应用，以便生成相关数据集群组的平铺显示，使得分析者可以快速有效地评估 数据集群。 特别地，可以在交互式用户界面中动态地重新分组和/或过滤数据集群，以便分析人员可以在与各种数据集群相关联的信息之间快速导航，并在上下文中有效地评估那些数据集群 例如欺诈调查。
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公开(公告)号：US12217091B2
公开(公告)日：2025-02-04
申请号：US17727380
申请日：2022-04-22
Applicant: Palantir Technologies Inc.
Inventor： Mahmoud Abdelsalam , Ryan McNamara , Ashray Jain , Greg DeArment , Jason Ma , Guodong Xu , Vivek Lakshmanan
Abstract: System and method for terminating instances and autoscaling instance groups of computing platforms. For example, a method includes determining whether an instance of an instance group is identified as eligible for termination. The method further includes, in response to determining that the instance of the instance group is identified as eligible for termination, terminating the eligible instance. The terminating the eligible instance includes, in response to a runtime of the eligible instance being equal to or larger than a predetermined maximum lifetime, terminating the eligible instance. The terminating the eligible instance further includes, in response to the runtime being smaller than the predetermined maximum lifetime, detaching the eligible instance from the instance group to allow a new instance to be associated with the instance group, and in response to the eligible instance being detached from the instance group: waiting for the new instance to be associated with the instance group, and evicting each pod associated with the detached instance. The method is performed using one or more processors.
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公开(公告)号：US11789931B2
公开(公告)日：2023-10-17
申请号：US17729972
申请日：2022-04-26
Applicant: Palantir Technologies Inc.
Inventor： Jason Ma , Allen Cai , Andrew Cooper , Arnaud Drizard , Benjamin Lee , Damien Cramard , Damian Rusak , Hind Kraytem , Jan Matas , Ludovic Lay , Myles Scolnick , Radu-Andrei Szasz , Stefan Negrus , Taylor Cathcart , Zhixian Shen
IPC: G06F16/23 , G06F3/04847 , G06F16/215 , G06F16/25 , G06F16/22 , G06F16/9535
CPC classification number: G06F16/2365 , G06F3/04847 , G06F16/215 , G06F16/2282 , G06F16/252 , G06F16/9535
Abstract: Systems are provided for managing defect data objects. A system stores a plurality of defect data objects that have been input to the system, and generates an issue item including one or more defect data objects that are selected from the stored defect data objects based on user input. The system determines similarity between the one or more defect data objects in the issue item and one or more of the stored defect data objects that are out of the issue item, based on comparison of one or more parameter values. The system determines one or more candidate defect data objects to be included in the issue item from the one or more of the stored defect data objects that are out of the issue item based on the similarity, and includes one or more of the determined candidate defect data objects in the issue item based on user input.
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公开(公告)号：US20220374140A1
公开(公告)日：2022-11-24
申请号：US17877690
申请日：2022-07-29
Applicant: Palantir Technologies Inc.
Inventor： Jason Ma , Aaron Davidson
IPC: G06F3/04847 , G06F3/14 , G06F3/0481 , G06F16/904
Abstract: Embodiments of the present disclosure relate to user interfaces and systems that may enable dynamic and interactive access of, investigation of, and analysis of data objects stored in one or more databases. The data objects may be accessed from the one or more databases, and presented in multiple related portions of a display. In particular, the system provides a time-based visualization of data objects (and/or properties associated with the data objects) to a user such that the user may, for example, determine connections between various data objects, observe flows of information among data objects, and/or investigate related data objects.
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