公开(公告)号：US20220244997A1

公开(公告)日：2022-08-04

申请号：US17727380

申请日：2022-04-22

Applicant: Palantir Technologies Inc.

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

IPC: G06F9/50 ,  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.

公开(公告)号：US11314721B1

公开(公告)日：2022-04-26

申请号：US15928884

申请日：2018-03-22

Applicant: Palantir Technologies Inc.

Inventor： Jason Ma ,  Allen Cai ,  Andrew Cooper ,  Arnaud Drizard ,  Benjamin Lee ,  Damien Cramard ,  Damian Rusak ,  Hind Kraytem ,  Jan Matas ,  Ludovic Lay ,  Myles Scolnick ,  Radu-Andrei Szasz ,  Stefan Negrus ,  Taylor Cathcart ,  Zhixian Shen

IPC: G06F16/23 ,  G06F3/04847 ,  G06F16/215 ,  G06F16/25 ,  G06F16/22 ,  G06F16/9535

Abstract: Systems are provided for managing defect data objects. A system stores a plurality of defect data objects that have been input to the system, and generates an issue item including one or more defect data objects that are selected from the stored defect data objects based on user input. The system determines similarity between the one or more defect data objects in the issue item and one or more of the stored defect data objects that are out of the issue item, based on comparison of one or more parameter values. The system determines one or more candidate defect data objects to be included in the issue item from the one or more of the stored defect data objects that are out of the issue item based on the similarity, and includes one or more of the determined candidate defect data objects in the issue item based on user input.

公开(公告)号：US20210390012A1

公开(公告)日：2021-12-16

申请号：US17445983

申请日：2021-08-26

Applicant: Palantir Technologies Inc.

Inventor： David Skiff ,  Allen Cai ,  Benjamin Lee ,  Christopher Yu ,  Hind Kraytem ,  Jason Ma ,  Myles Scolnick ,  Tarik Benabdallah ,  Zhixian Shen

IPC: G06F11/07 ,  H04L29/08 ,  G06F16/242 ,  G06F16/248

Abstract: Disclosed are data gathering and analysis systems, methods, and computer-readable storage media to facilitate an investigation process. The method includes accessing a data object representing an investigative issue as part of initiating an investigative session. The method further includes causing presentation, on a display of a device, of a user interface configured to receive user search queries and present search results for each received search query. The method further includes tracking user activity including one or more user actions performed during the investigative session. The method further includes creating a record of the user activity, and linking the record of the user activity with the data object representing the investigative issue.

公开(公告)号：US11126489B2

公开(公告)日：2021-09-21

申请号：US16135592

申请日：2018-09-19

Applicant: Palantir Technologies Inc.

Inventor： David Skiff ,  Allen Cai ,  Benjamin Lee ,  Christopher Yu ,  Hind Kraytem ,  Jason Ma ,  Myles Scolnick ,  Tarik Benabdallah ,  Zhixian Shen

IPC: G06F11/00 ,  G06F11/07 ,  H04L29/08 ,  G06F16/242 ,  G06F16/248 ,  H04L12/24 ,  G06F16/43 ,  G06F16/48

Abstract: Disclosed are data gathering and analysis systems, methods, and computer-readable storage media to facilitate an investigation process. The method includes accessing a data object representing an investigative issue as part of initiating an investigative session. The method further includes causing presentation, on a display of a device, of a user interface configured to receive user search queries and present search results for each received search query. The method further includes tracking user activity including one or more user actions performed during the investigative session. The method further includes creating a record of the user activity, and linking the record of the user activity with the data object representing the investigative issue.

公开(公告)号：US20200226128A1

公开(公告)日：2020-07-16

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 ,  G06F3/0482 ,  G06F3/0484

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.

公开(公告)号：US20200183750A1

公开(公告)日：2020-06-11

申请号：US16398435

申请日：2019-04-30

Applicant: Palantir Technologies Inc.

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

IPC: 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.

公开(公告)号：US20190387008A1

公开(公告)日：2019-12-19

申请号：US16553971

申请日：2019-08-28

Applicant: Palantir Technologies Inc.

Inventor： Alexander Visbal ,  James Thompson ,  Marvin Sum ,  Jason Ma ,  Bing Jie Fu ,  Ilya Nepomnyashchiy ,  Devin Witherspoon ,  Victoria Lai ,  Steven Berler ,  Alexei Smaliy ,  Suchan Lee

IPC: H04L29/06 ,  G06Q40/00 ,  G06F16/28 ,  G06F16/9038 ,  G06F16/2457 ,  G06F3/0482 ,  G06F3/0484 ,  G06Q40/02

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, automatically tag and group those clustered data structures, and provide results of the automated analysis and grouping 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 tiled display of the groups of related data clusters such that the analyst may quickly and efficiently evaluate the groups of data clusters. In particular, the groups of data clusters may be dynamically re-grouped and/or filtered in an interactive user interface so as to enable an analyst to quickly navigate among information associated with various groups of data clusters and efficiently evaluate those data clusters in the context of, for example, a fraud investigation.

公开(公告)号：US20180270264A1

公开(公告)日：2018-09-20

申请号：US15961431

申请日：2018-04-24

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 ,  G06Q40/00 ,  G06F17/30

CPC classification number: H04L63/1425 ,  G06F16/285 ,  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.

公开(公告)号：US09626088B2

公开(公告)日：2017-04-18

申请号：US14570914

申请日：2014-12-15

Applicant: Palantir Technologies Inc.

Inventor： Jason Ma ,  Brian Lee ,  Evan Minamoto

IPC: G06F3/0484 ,  G06F3/0482 ,  G06F17/30 ,  G06T11/20 ,  G06Q10/06 ,  G09B29/00

CPC classification number: G06F17/30554 ,  G06F3/0482 ,  G06F3/04842 ,  G06F3/04847 ,  G06F17/30876 ,  G06Q10/067 ,  G06T11/206 ,  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.

公开(公告)号：US09569070B1

公开(公告)日：2017-02-14

申请号：US14076385

申请日：2013-11-11

Applicant: Palantir Technologies, Inc.

Inventor： Jason Ma ,  James Thompson ,  Tony Poor ,  Richard Allen Ducott, III ,  Alexander Landau

IPC: G06F3/0481 ,  G06F3/0482 ,  G06F9/44 ,  G06F17/30 ,  H04L29/08 ,  G06F3/0484

CPC classification number: G06F3/0482 ,  G06F3/0481 ,  G06F3/04817 ,  G06F3/04842 ,  G06F17/30067 ,  G06F17/30575 ,  G06F17/30578 ,  H04L29/08306 ,  H04L29/0854

Abstract: Systems, methods, and graphical user interfaces are disclosed that assist a user in deconflicting concurrency conflicts in a peering network in which ambiguous concurrency conflicts can arise. In accordance with some embodiments, a method for assisting a user in deconflicting concurrency conflicts is disclosed. The method includes detecting a plurality of ambiguous data conflicts between the local deployment and the peer deployment. The method further includes providing a graphical user interface to a user at the local deployment that allows the user to filter the plurality of ambiguous data conflicts according to a selected data conflict type of a plurality of predefined data conflict types selectable by the user through the graphical user interface. By providing such as graphical user interface, the user can easily filter a large number (e.g., hundreds) of ambiguous concurrency conflicts that may exist at a given time between the local deployment and the peer deployment.

Abstract translation: 公开了系统，方法和图形用户界面，其帮助用户解决在其中可能出现歧义并发冲突的对等网络中的并发冲突。 根据一些实施例，公开了一种用于辅助用户解包并发冲突的方法。 该方法包括检测本地部署和对等部署之间的多个不明确的数据冲突。 该方法还包括在本地部署时向用户提供图形用户界面，其允许用户根据用户可通过图形选择的多个预定数据冲突类型的所选数据冲突类型来过滤多个模糊数据冲突 用户界面。 通过提供诸如图形用户界面，用户可以容易地过滤在本地部署和对等部署之间的给定时间可能存在的大量（例如数百个）不明确的并发冲突。