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    System and user interfaces for searching resources and related documents using data structures
    31.
    发明授权
    System and user interfaces for searching resources and related documents using data structures 有权

    公开(公告)号：US09798787B1

    公开(公告)日：2017-10-24

    申请号：US15208378

    申请日：2016-07-12

    Applicant: Palantir Technologies Inc.

    Inventor： Mitchell Beard ,  Juan Ricafort ,  Kevin Verdieck ,  Divya Mahalingam ,  Jack Grossman

    IPC: G06F17/30 ,  G06F3/0482

    CPC classification number: G06F17/30554 ,  G06F17/30011 ,  G06F17/30398 ,  G06F17/30477 ,  G06F17/30557 ,  G06F17/30867

    Abstract: Various systems and methods are provided for accessing and traversing one or more data structures and generating a functional user interface that can enable non-technical users to quickly and dynamically search for resources of an organization and/or associated documents, events, entities, and/or other data. The user interfaces are interactive such that a user may make selections, provide inputs, and/or manipulate outputs. In response to various user inputs, the system automatically accesses and traverses data structures relating to resources, documents, events, entities, and other data, identifies resources, documents, events, entities, and/or other data that meet search criteria, and returns search results including resources that meet the search criteria and/or resources that are associated with documents, events, entities, and/or other data that meet the search criteria. Resources, documents, events, entities, and other data can be represented by respective types of data structures, which may be associated with other types of data structures. Properties or fields of data structures can have security settings and permissions associated with them.

    SYSTEMS AND METHODS FOR ORGANIZING AND IDENTIFYING DOCUMENTS VIA HIERARCHIES AND DIMENSIONS OF TAGS
    32.
    发明申请
    SYSTEMS AND METHODS FOR ORGANIZING AND IDENTIFYING DOCUMENTS VIA HIERARCHIES AND DIMENSIONS OF TAGS 审中-公开

    公开(公告)号：US20170300197A1

    公开(公告)日：2017-10-19

    申请号：US15636234

    申请日：2017-06-28

    Applicant: Palantir Technologies Inc.

    Inventor： John Chakerian ,  Carl Freeland ,  Jack Grossman ,  Lawrence Manning ,  Adam Torres ,  Michael Yang

    IPC: G06F3/0482 ,  G06F17/30

    Abstract: Computer-implemented systems and methods are disclosed to interface with one or more storage devices storing a plurality of documents, wherein each of the plurality of documents is associated with one or more tags of one or more predefined hierarchies of tags, wherein the one or more hierarchies of tags include multiple dimensions. In accordance with some embodiments, a method is provided to identify one or more documents from the data storage devices. The method comprises acquiring, via an interface, a selection of one or more tags of the one or more predefined hierarchies of tags. The method further comprises identifying one or more documents from the data storage devices in response to the selection, the identified one or more documents having tags that have a relationship with the selected tags, and providing data corresponding to the identified documents for displaying in the interface.

    NETWORK INTRUSION DATA ITEM CLUSTERING AND ANALYSIS
    33.
    发明申请
    NETWORK INTRUSION DATA ITEM CLUSTERING AND ANALYSIS 有权
    网络入侵数据项集合与分析

    公开(公告)号：US20160366164A1

    公开(公告)日：2016-12-15

    申请号：US14487021

    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

    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。

    System and user interfaces for searching resources and related documents using data structures
    34.
    发明授权
    System and user interfaces for searching resources and related documents using data structures 有权

    公开(公告)号：US11663229B2

    公开(公告)日：2023-05-30

    申请号：US17004493

    申请日：2020-08-27

    Applicant: Palantir Technologies Inc.

    Inventor： Mitchell Beard ,  Juan Ricafort ,  Kevin Verdieck ,  Divya Mahalingam ,  Jack Grossman

    IPC: G06F16/248 ,  G06F16/25 ,  G06F16/93 ,  G06F16/242 ,  G06F16/2455 ,  G06F16/9535

    CPC classification number: G06F16/248 ,  G06F16/2428 ,  G06F16/2455 ,  G06F16/25 ,  G06F16/93 ,  G06F16/9535

    Abstract: Various systems and methods are provided for accessing and traversing one or more data structures and generating a functional user interface that can enable non-technical users to quickly and dynamically search for resources of an organization and/or associated documents, events, entities, and/or other data. The user interfaces are interactive such that a user may make selections, provide inputs, and/or manipulate outputs. In response to various user inputs, the system automatically accesses and traverses data structures relating to resources, documents, events, entities, and other data, identifies resources, documents, events, entities, and/or other data that meet search criteria, and returns search results including resources that meet the search criteria and/or resources that are associated with documents, events, entities, and/or other data that meet the search criteria. Resources, documents, events, entities, and other data can be represented by respective types of data structures, which may be associated with other types of data structures. Properties or fields of data structures can have security settings and permissions associated with them.

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