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公开(公告)号：US12079887B2
公开(公告)日：2024-09-03
申请号：US18228492
申请日：2023-07-31
Applicant: Palantir Technologies Inc.
Inventor： Arthur Thouzeau , Ankit Shankar , Bianca Rahill-Marier , Casey Patton , Geoff Stowe , Spencer Tank
IPC: G06F3/048 , G06F3/0482 , G06F16/9032 , G06Q10/0631 , G06Q50/04 , G06T11/20
CPC classification number: G06Q50/04 , G06F3/0482 , G06F16/90324 , G06Q10/06316 , G06T11/206
Abstract: Systems and methods are provided for storing data representing respective sub-elements of a complex task. Data representing one or more links between two or more sub-elements is stored, the links indicating a dependency between said sub-elements. A work order is calculated based on the identified links. A graphical representation of the calculated work order which indicates said sub-elements and their dependencies is provided. The links may indicate a temporal dependency of a second sub-element on a first sub-element and in which the provided graphical representation presents the temporal relationship of the sub-elements. Historical data may be received for association with one or more selected links or sub-elements, the historical data related to a prior event and which affects the temporal relationship between the sub-elements. An updated work order modified by the historical data may be calculated. An updated graphical representation of the work order may be provided.
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公开(公告)号：US10732803B2
公开(公告)日：2020-08-04
申请号：US15697808
申请日：2017-09-07
Applicant: Palantir Technologies Inc.
Inventor： Ben Duffield , Geoff Stowe , Ankit Shankar
IPC: G06F3/048 , G06F3/0484 , G06Q10/00
Abstract: An interactive, graph-based user interaction data analysis system is disclosed. The system is configured to provide analysis and graphical visualizations of user interaction data to a system operator. In various embodiments, interactive visualizations and analyses provided by the system may be based on user interaction data aggregated across particular groups of users, across particular time frames, and/or from particular computer-based platforms and/or applications. According to various embodiments, the system may enable insights into, for example, user interaction patterns and/or ways to optimize for desired user interactions, among others. In an embodiment, the system allows an operator to analyze and investigate user interactions with content provided via one or more computer-based platforms, software applications, and/or software application editions.
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公开(公告)号：US10726507B1
公开(公告)日：2020-07-28
申请号：US15459811
申请日：2017-03-15
Applicant: Palantir Technologies Inc.
Inventor： Arthur Thouzeau , Ankit Shankar , Bianca Rahil-Marier , Casey Patton , Geoff Stowe , Spencer Tank
IPC: G06F3/048 , G06Q50/04 , G06T11/20 , G06F3/0482 , G06Q10/06 , G06F16/9032
Abstract: Systems and methods are provided for storing data representing respective sub-elements of a complex task. Data representing one or more links between two or more sub-elements is stored, the links indicating a dependency between said sub-elements. A work order is calculated based on the identified links. A graphical representation of the calculated work order which indicates said sub-elements and their dependencies is provided. The links may indicate a temporal dependency of a second sub-element on a first sub-element and in which the provided graphical representation presents the temporal relationship of the sub-elements. Historical data may be received for association with one or more selected links or sub-elements, the historical data related to a prior event and which affects the temporal relationship between the sub-elements. An updated work order modified by the historical data may be calculated. An updated graphical representation of the work order may be provided.
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公开(公告)号：US09043894B1
公开(公告)日：2015-05-26
申请号：US14616080
申请日：2015-02-06
Applicant: Palantir Technologies Inc.
Inventor： Drew Dennison , Geoff Stowe , Adam Anderson
IPC: H04L29/06
CPC classification number: H04L63/145 , G06F17/30867 , G06F21/552 , G06F21/566 , G06F2221/033 , G06N99/005 , H04L63/1408 , H04L63/1425
Abstract: A computer system identifies malicious Uniform Resource Locator (URL) data items from a plurality of unscreened data items that have not been previously identified as associated with malicious URLs. The system can execute a number of pre-filters to identify a subset of URLs in the plurality of data items that are likely to be malicious. A scoring processor can score the subset of URLs based on a plurality of input vectors using a suitable machine learning model. Optionally, the system can execute one or more post-filters on the score data to identify data items of interest. Such data items can be fed back into the system to improve machine learning or can be used to provide a notification that a particular resource within a local network is infected with malicious software.
Abstract translation: 计算机系统从未被先前识别为与恶意URL相关联的多个未被筛选的数据项中识别恶意统一资源定位符（URL）数据项。 系统可以执行多个预过滤器以识别可能是恶意的多个数据项中的URL的子集。 评分处理器可以使用合适的机器学习模型基于多个输入向量来评分URL的子集。 可选地，系统可以对得分数据执行一个或多个后置过滤器以识别感兴趣的数据项。 这样的数据项目可以反馈到系统中以改进机器学习，或者可以用于提供本地网络中的特定资源被恶意软件感染的通知。
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公开(公告)号：US20150089424A1
公开(公告)日：2015-03-26
申请号：US14228109
申请日：2014-03-27
Applicant: Palantir Technologies, Inc.
Inventor： Ben Duffield , Geoff Stowe , Ankit Shankar
IPC: G06F3/0484
CPC classification number: G06F3/0484 , G06Q10/00
Abstract: An interactive, graph-based user interaction data analysis system is disclosed. The system is configured to provide analysis and graphical visualizations of user interaction data to a system operator. In various embodiments, interactive visualizations and analyses provided by the system may be based on user interaction data aggregated across particular groups of users, across particular time frames, and/or from particular computer-based platforms and/or applications. According to various embodiments, the system may enable insights into, for example, user interaction patterns and/or ways to optimize for desired user interactions, among others. In an embodiment, the system allows an operator to analyze and investigate user interactions with content provided via one or more computer-based platforms, software applications, and/or software application editions.
Abstract translation: 公开了一种交互式的，基于图形的用户交互数据分析系统。 该系统被配置为向系统操作者提供用户交互数据的分析和图形可视化。 在各种实施例中，由系统提供的交互式可视化和分析可以基于在特定时间帧和/或特定的基于计算机的平台和/或应用之间跨特定用户组聚合的用户交互数据。 根据各种实施例，系统可以使诸如用户交互模式和/或对于期望的用户交互进行优化的方式等等。 在一个实施例中，该系统允许操作者分析和调查与通过一个或多个基于计算机的平台，软件应用和/或软件应用版本提供的内容的用户交互。
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Patent Agency Ranking
公开(公告)号：US20220138870A1
公开(公告)日：2022-05-05
申请号：US17578224
申请日：2022-01-18
Applicant: Palantir Technologies Inc.
Inventor： Arthur Thouzeau , Ankit Shankar , Bianca Rahill-Marier , Casey Patton , Geoff Stowe , Spencer Tank
IPC: G06Q50/04 , G06T11/20 , G06F3/0482 , G06Q10/06 , G06F16/9032
Abstract: Systems and methods are provided for storing data representing respective sub-elements of a complex task. Data representing one or more links between two or more sub-elements is stored, the links indicating a dependency between said sub-elements. A work order is calculated based on the identified links. A graphical representation of the calculated work order which indicates said sub-elements and their dependencies is provided. The links may indicate a temporal dependency of a second sub-element on a first sub-element and in which the provided graphical representation presents the temporal relationship of the sub-elements. Historical data may be received for association with one or more selected links or sub-elements, the historical data related to a prior event and which affects the temporal relationship between the sub-elements. An updated work order modified by the historical data may be calculated. An updated graphical representation of the work order may be provided.
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7.发明申请公开(公告)号：US20200301937A1
公开(公告)日：2020-09-24
申请号：US16898934
申请日：2020-06-11
Applicant: Palantir Technologies Inc.
Inventor： Ankit Shankar , Andrew Ash , Geoff Stowe , Thomas Petracca , Benjamin Duffield
IPC: G06F16/25 , G06F16/22 , G06F16/242 , G06F16/248 , G06F16/31 , G06F16/2452 , G06F16/2455 , G06F16/2458 , G06F16/901
Abstract: Embodiments of the present disclosure relate to a computer system and interactive user interfaces configured to enable efficient and rapid access to multiple different data sources simultaneously, and by an unskilled user. The unskilled user may provide simple and intuitive search terms to the system, and the system may thereby automatically query multiple related data sources of different types and present results to the user. Data sources in the system may be efficiently interrelated with one another by way of a mathematical graph in which nodes represent data sources and/or portions of data sources (for example, database tables), and edges represent relationships among the data sources and/or portions of data sources. For example, edges may indicate relationships between particular rows and/or columns of various tables. The table graph enables a compact and memory efficient storage of relationships among various disparate data sources.
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公开(公告)号：US20190052648A1
公开(公告)日：2019-02-14
申请号：US14928512
申请日：2015-10-30
Applicant: Palantir Technologies Inc.
Inventor： Geoff Stowe , Harkirat Singh , Stefan Bach , Matthew Sprague , Michael Kross , Adam Borochoff , Parvathy Menon , Michael Harris
Abstract: In various embodiments, systems, methods, and techniques are disclosed for generating a collection of clusters of related data from a seed. 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 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. Further, cluster metascores may be generated based on various cluster scores associated with a cluster. Clusters may be ranked based on cluster metascores. Various embodiments may enable an analyst to discover various insights related to data clusters, and may be applicable to various tasks including, for example, tax fraud detection, beaconing malware detection, malware user-agent detection, and/or activity trend detection, among various others.
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公开(公告)号：US10135863B2
公开(公告)日：2018-11-20
申请号：US15378567
申请日：2016-12-14
Applicant: Palantir Technologies Inc.
Inventor： Drew Dennison , Geoff Stowe , Adam Anderson
Abstract: A computer system identifies malicious Uniform Resource Locator (URL) data items from a plurality of unscreened data items that have not been previously identified as associated with malicious URLs. The system can execute a number of pre-filters to identify a subset of URLs in the plurality of data items that are likely to be malicious. A scoring processor can score the subset of URLs based on a plurality of input vectors using a suitable machine learning model. Optionally, the system can execute one or more post-filters on the score data to identify data items of interest. Such data items can be fed back into the system to improve machine learning or can be used to provide a notification that a particular resource within a local network is infected with malicious software.
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公开(公告)号：US09785317B2
公开(公告)日：2017-10-10
申请号：US14228109
申请日：2014-03-27
Applicant: Palantir Technologies, Inc.
Inventor： Ben Duffield , Geoff Stowe , Ankit Shankar
IPC: G06F3/048 , G06F3/0484 , G06Q10/00
CPC classification number: G06F3/0484 , G06Q10/00
Abstract: An interactive, graph-based user interaction data analysis system is disclosed. The system is configured to provide analysis and graphical visualizations of user interaction data to a system operator. In various embodiments, interactive visualizations and analyzes provided by the system may be based on user interaction data aggregated across particular groups of users, across particular time frames, and/or from particular computer-based platforms and/or applications. According to various embodiments, the system may enable insights into, for example, user interaction patterns and/or ways to optimize for desired user interactions, among others. In an embodiment, the system allows an operator to analyze and investigate user interactions with content provided via one or more computer-based platforms, software applications, and/or software application editions.
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