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    System and method for generating event visualizations
    14.
    发明授权
    System and method for generating event visualizations 有权

    公开(公告)号：US10482097B2

    公开(公告)日：2019-11-19

    申请号：US15851249

    申请日：2017-12-21

    Applicant: Palantir Technologies Inc.

    Inventor： Jason Ma ,  Brian Lee ,  Evan Minamoto

    IPC: G06F16/248 ,  G06T11/20 ,  G06F16/955 ,  G06F3/0482 ,  G06F3/0484 ,  G06Q10/06 ,  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.

    Internal malware data item clustering and analysis
    17.
    发明授权
    Internal malware data item clustering and analysis 有权
    内部恶意软件数据项集群和分析

    公开(公告)号：US09344447B2

    公开(公告)日：2016-05-17

    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: G06Q40/00 ,  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 analysis (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。 可以将数据集群的人可读分析（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。

    Data item clustering and analysis
    18.
    发明授权
    Data item clustering and analysis 有权
    数据项聚类分析

    公开(公告)号：US09202249B1

    公开(公告)日：2015-12-01

    申请号：US14473552

    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

    IPC: G06Q40/00

    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 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.

    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。

    SYSTEMS AND USER INTERFACES FOR DYNAMIC AND INTERACTIVE ACCESS OF, INVESTIGATION OF, AND ANALYSIS OF DATA OBJECTS STORED IN ONE OR MORE DATABASES
    19.
    发明申请
    SYSTEMS AND USER INTERFACES FOR DYNAMIC AND INTERACTIVE ACCESS OF, INVESTIGATION OF, AND ANALYSIS OF DATA OBJECTS STORED IN ONE OR MORE DATABASES 有权
    动态和交互访问的系统和用户界面，存储在一个或多个数据库中的数据对象的调查和分析

    公开(公告)号：US20150309719A1

    公开(公告)日：2015-10-29

    申请号：US14696069

    申请日：2015-04-24

    Applicant: Palantir Technologies Inc.

    Inventor： Jason Ma ,  Aaron Davidson

    IPC: G06F3/0484 ,  G06F3/0481 ,  G06F3/14

    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.

    Abstract translation: 本公开的实施例涉及可以实现存储在一个或多个数据库中的数据对象的动态和交互访问，调查和分析的用户界面和系统。 可以从一个或多个数据库访问数据对象，并呈现在显示器的多个相关部分中。 特别地，系统向用户提供数据对象（和/或与数据对象相关联的属性）的基于时间的可视化，使得用户例如可以确定各种数据对象之间的连接，观察数据之间的信息流 对象和/或调查相关的数据对象。

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