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    REAL-TIME DOCUMENT ANNOTATION
    52.
    发明申请
    REAL-TIME DOCUMENT ANNOTATION 审中-公开

    公开(公告)号：US20190026258A1

    公开(公告)日：2019-01-24

    申请号：US16046397

    申请日：2018-07-26

    Applicant: Palantir Technologies Inc.

    Inventor： Ayush Sood ,  Amrit Saxena ,  Parvathy Menon

    IPC: G06F17/24 ,  G06F17/30 ,  G06F3/14 ,  G06F3/0484 ,  G06F3/0354 ,  G06F3/0482

    Abstract: Aspects of the present disclosure relate to systems and methods for receiving, managing, and displaying annotations on documents in real-time. A user (e.g., an author of a document) uploads a document into a real-time annotation system, which may then generate a composite presentation based on the uploaded document. The composite presentation includes all the content of the document presented in a specially configured graphical user interface to receive and manage annotations from a plurality of user devices.

    INTERNAL MALWARE DATA ITEM CLUSTERING AND ANALYSIS
    56.
    发明申请
    INTERNAL MALWARE DATA ITEM CLUSTERING AND ANALYSIS 有权
    内部恶意数据项集合和分析

    公开(公告)号：US20160006749A1

    公开(公告)日：2016-01-07

    申请号：US14486991

    申请日：2014-09-15

    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

    IPC: H04L29/06 ,  G06F17/30

    CPC classification number: H04L63/1425 ,  G06F17/30598 ,  G06Q40/12 ,  H04L63/1408 ,  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 analyses (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.

    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，并以优化的方式向分析者提供自动化分析的结果。 集群数据结构（本文中也称为数据集群）的自动化分析可以包括各种标准或规则的自动应用，以便生成数据集群的紧凑的，人类可读的分析。 可以将数据集群的可读分析（也称为“摘要”或“结论”）组织成交互式用户界面，以使分析人员能够在与各种数据集群相关联的信息之间快速导航，并有效地评估 这些数据集群在例如欺诈调查的背景下。 本公开的实施例还涉及聚类数据结构的自动评分。

    Context-sensitive views
    58.
    发明授权
    Context-sensitive views 有权
    上下文相关视图

    公开(公告)号：US08713467B1

    公开(公告)日：2014-04-29

    申请号：US14095798

    申请日：2013-12-03

    Applicant: Palantir Technologies, Inc.

    Inventor： Joshua Goldenberg ,  Brian Ngo ,  Bill Dwyer ,  Parvathy Menon ,  Gregory Martin ,  Zach Bush ,  Allen Chang ,  Mike Boland

    IPC: G06F3/048 ,  G06F3/00

    CPC classification number: G06F3/04855 ,  G06F3/0481 ,  G06F3/04812 ,  G06F3/0482 ,  G06F3/04845 ,  G06F3/04847 ,  G06F17/30 ,  G06F17/30994

    Abstract: A context-sensitive viewing system is disclosed in which various data visualizations, also referred to a contextual views, of a common set of data may be viewed by a user on an electronic device. Data in the system may comprise data objects and associated properties and/or metadata, and may be stored in one or more electronic data stores. As a user of the system views and manipulates a first contextual view of a set of data objects, one or more other contextual views of the same set of data objects may be updated accordingly. Updates to the secondary contextual views may, in various embodiments, happen real-time. Further, the secondary contextual views may be visible to the user simultaneously with the primary contextual view. A user may switch from one view to another, and may manipulate data in any view, resulting in updates in the other views.

    Abstract translation: 公开了一种上下文敏感的观看系统，其中用户可以在电子设备上查看公共数据集的各种数据可视化，也称为上下文视图。 系统中的数据可以包括数据对象和相关联的属性和/或元数据，并且可以存储在一个或多个电子数据存储中。 当系统的用户查看和操纵一组数据对象的第一上下文视图时，可以相应地更新同一组数据对象的一个​​或多个其他上下文视图。 在各种实施例中，辅助上下文视图的更新可以实时发生。 此外，辅助上下文视图可以与主要上下文视图同时对用户可见。 用户可以从一个视图切换到另一个视图，并且可以在任何视图中操纵数据，导致其他视图中的更新。

    RESOURCE DEPENDENCY SYSTEM AND GRAPHICAL USER INTERFACE
    59.
    发明申请
    RESOURCE DEPENDENCY SYSTEM AND GRAPHICAL USER INTERFACE 有权

    公开(公告)号：US20250156479A1

    公开(公告)日：2025-05-15

    申请号：US19019998

    申请日：2025-01-14

    Applicant: Palantir Technologies Inc.

    Inventor： Adam Borochoff ,  Joseph Rafidi ,  Parvathy Menon

    IPC: G06F16/901 ,  G06F3/04847 ,  G06F9/50 ,  G06F16/16 ,  G06F16/17

    Abstract: A resource dependency system displays two dynamically interactive interfaces in a resource dependency user interface, a hierarchical resource repository and a dependency graph user interface. User interactions on each interface can dynamically update either interface. For example, a selection of a particular resource in the dependency graph user interface causes the system to update the dependency graph user interface to indicate the selection and also updates the hierarchical resource repository to navigate to the appropriate folder corresponding to the stored location of the selected resource. In another example, a selection of a particular resource in the hierarchical resource repository causes the system to update the hierarchical resource repository to indicate the selection and also updates the dependency graph user interface to display an updated graph, indicate the selection and, in some embodiments, focus on the selected resource by zooming into a portion of the graph.

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