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    NETWORK INTRUSION DATA ITEM CLUSTERING AND ANALYSIS
    25.
    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 method for generating event visualizations
    27.
    发明授权
    System and method for generating event visualizations 有权

    公开(公告)号：US10824632B2

    公开(公告)日：2020-11-03

    申请号：US16685853

    申请日：2019-11-15

    Applicant: Palantir Technologies Inc.

    Inventor： Jason Ma ,  Brian Lee ,  Evan Minamoto

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

    Systems and methods for terminating instances and autoscaling instance groups of computing platforms
    29.
    发明授权
    Systems and methods for terminating instances and autoscaling instance groups of computing platforms 有权

    公开(公告)号：US10324763B1

    公开(公告)日：2019-06-18

    申请号：US16255715

    申请日：2019-01-23

    Applicant: Palantir Technologies Inc.

    Inventor： Mahmoud Abdelsalam ,  Ryan McNamara ,  Ashray Jain ,  Greg DeArment ,  Jason Ma ,  Guodong Xu ,  Vivek Lakshmanan

    IPC: G06F9/455 ,  G06F9/50 ,  G06F8/65 ,  G06F9/48

    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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