公开(公告)号：US11704325B2

公开(公告)日：2023-07-18

申请号：US17812984

申请日：2022-07-15

Applicant: Palantir Technologies Inc.

Inventor： Lawrence Manning ,  Rahul Mehta ,  Daniel Erenrich ,  Guillem Palou Visa ,  Roger Hu ,  Xavier Falco ,  Rowan Gilmore ,  Eli Bingham ,  Jason Prestinario ,  Yifei Huang ,  Daniel Fernandez ,  Jeremy Elser ,  Clayton Sader ,  Rahul Agarwal ,  Matthew Elkherj ,  Nicholas Latourette ,  Aleksandr Zamoshchin

IPC: G06F16/00 ,  G06F16/2457 ,  G06F16/35 ,  G06F16/9535 ,  G06F16/28 ,  G06F18/23

CPC classification number: G06F16/24578 ,  G06F16/285 ,  G06F16/35 ,  G06F16/9535 ,  G06F18/23

Abstract: Computer implemented systems and methods are disclosed for automatically clustering and canonically identifying related data in various data structures. Data structures may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying clusters of records associated with a respective entity by grouping the records into pairs, analyzing the respective pairs to determine a probability that both members of the pair relate to a common entity, and identifying a cluster of overlapping pairs to generate a collection of records relating to a common entity. Clusters may further be analyzed to determine canonical names or other properties for the respective entities by analyzing record fields and identifying similarities.

公开(公告)号：US20190065578A1

公开(公告)日：2019-02-28

申请号：US16172616

申请日：2018-10-26

Applicant: Palantir Technologies Inc.

Inventor： Boris Valensi ,  James Ong ,  Howard Carter ,  Joy Tao ,  Mark Schafer ,  Barry McCardel ,  Kelsey Falter ,  Roger Hu

IPC: G06F17/30 ,  G06F3/0482 ,  G06F3/0484

Abstract: Systems and techniques for indexing and/or querying a database are described herein. Multiple, large disparate data sources may be processed to cleanse and/or combine item data and/or item metadata. Further, attributes may be extracted from the item data sources. The interactive user interfaces allow a user to select one or more attributes and/or other parameters to present visualizations based on the processed data.

公开(公告)号：US11106701B2

公开(公告)日：2021-08-31

申请号：US16172616

申请日：2018-10-26

Applicant: Palantir Technologies Inc.

Inventor： Boris Valensi ,  James Ong ,  Howard Carter ,  Joy Tao ,  Mark Schafer ,  Barry McCardel ,  Kelsey Falter ,  Roger Hu

IPC: G06F16/20 ,  G06F16/90 ,  G06F16/28 ,  G06F3/0484 ,  G06F3/0482 ,  G06F16/25 ,  G06F16/248 ,  G06F16/901 ,  G06F16/26

Abstract: Systems and techniques for indexing and/or querying a database are described herein. Multiple, large disparate data sources may be processed to cleanse and/or combine item data and/or item metadata. Further, attributes may be extracted from the item data sources. The interactive user interfaces allow a user to select one or more attributes and/or other parameters to present visualizations based on the processed data.

公开(公告)号：US10579950B1

公开(公告)日：2020-03-03

申请号：US15485730

申请日：2017-04-12

Applicant: Palantir Technologies Inc.

Inventor： Mitchell Beard ,  Kai Shen ,  Roger Hu ,  Sachi Shah ,  Miklos Danka ,  Laurynas Pliuskys ,  Thomas Pearson

IPC: G06Q10/06

Abstract: A system comprising a computer-readable storage medium storing at least one program and a method for determining, tracking, and anticipating risk in a manufacturing facility are presented. In example embodiments, the method includes generating a risk data model for the manufacturing facility based on correlations between historical staffing conditions of the manufacturing facility and deviations from existing manufacturing procedures. The method further includes receiving projected operational data that includes information related to anticipated future staffing conditions of the manufacturing facility. The method further includes calculating a risk score based on the projected operational data using the risk data model. The method further includes causing presentation of a user interface that includes a display of the risk score.

公开(公告)号：US10127289B2

公开(公告)日：2018-11-13

申请号：US15233149

申请日：2016-08-10

Applicant: Palantir Technologies Inc.

Inventor： Lawrence Manning ,  Rahul Mehta ,  Daniel Erenrich ,  Guillem Palou Visa ,  Roger Hu ,  Xavier Falco ,  Rowan Gilmore ,  Eli Bingham ,  Jason Prestinario ,  Yifei Huang ,  Daniel Fernandez ,  Jeremy Elser ,  Clayton Sader ,  Rahul Agarwal ,  Matthew Elkherj ,  Nicholas Latourette ,  Aleksandr Zamoshchin

IPC: G06F17/30

Abstract: Computer implemented systems and methods are disclosed for automatically clustering and canonically identifying related data in various data structures. Data structures may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying clusters of records associated with a respective entity by grouping the records into pairs, analyzing the respective pairs to determine a probability that both members of the pair relate to a common entity, and identifying a cluster of overlapping pairs to generate a collection of records relating to a common entity. Clusters may further be analyzed to determine canonical names or other properties for the respective entities by analyzing record fields and identifying similarities.

公开(公告)号：US20230297582A1

公开(公告)日：2023-09-21

申请号：US18325616

申请日：2023-05-30

Applicant: Palantir Technologies Inc.

Inventor： Lawrence Manning ,  Rahul Mehta ,  Daniel Erenrich ,  Guillem Palou Visa ,  Roger Hu ,  Xavier Falco ,  Rowan Gilmore ,  Eli Bingham ,  Jason Prestinario ,  Yifei Huang ,  Daniel Fernandez ,  Jeremy Elser ,  Clayton Sader ,  Rahul Agarwal ,  Matthew Elkherj ,  Nicholas Latourette ,  Aleksandr Zamoshchin

IPC: G06F16/2457 ,  G06F16/35 ,  G06F16/9535 ,  G06F16/28 ,  G06F18/23

CPC classification number: G06F16/24578 ,  G06F16/35 ,  G06F16/9535 ,  G06F16/285 ,  G06F18/23

Abstract: Computer implemented systems and methods are disclosed for automatically clustering and canonically identifying related data in various data structures. Data structures may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying clusters of records associated with a respective entity by grouping the records into pairs, analyzing the respective pairs to determine a probability that both members of the pair relate to a common entity, and identifying a cluster of overlapping pairs to generate a collection of records relating to a common entity. Clusters may further be analyzed to determine canonical names or other properties for the respective entities by analyzing record fields and identifying similarities.

公开(公告)号：US20170052958A1

公开(公告)日：2017-02-23

申请号：US15233149

申请日：2016-08-10

Applicant: Palantir Technologies Inc.

Inventor： Lawrence Manning ,  Rahul Mehta ,  Daniel Erenrich ,  Guillem Palou Visa ,  Roger Hu ,  Xavier Falco ,  Rowan Gilmore ,  Eli Bingham ,  Jason Prestinario ,  Yifei Huang ,  Daniel Fernandez ,  Jeremy Elser ,  Clayton Sader ,  Rahul Agarwal ,  Matthew Elkherj ,  Nicholas Latourette ,  Aleksandr Zamoshchin

IPC: G06F17/30

CPC classification number: G06F17/3053 ,  G06F17/30705 ,  G06F17/30867

Abstract: Computer implemented systems and methods are disclosed for automatically clustering and canonically identifying related data in various data structures. Data structures may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying clusters of records associated with a respective entity by grouping the records into pairs, analyzing the respective pairs to determine a probability that both members of the pair relate to a common entity, and identifying a cluster of overlapping pairs to generate a collection of records relating to a common entity. Clusters may further be analyzed to determine canonical names or other properties for the respective entities by analyzing record fields and identifying similarities.

Abstract translation: 公开了计算机实现的系统和方法，用于自动聚类和规范地识别各种数据结构中的相关数据。 数据结构可以包括多个记录，其中每个记录与相应实体相关联。 根据一些实施例，系统和方法还包括通过将记录分组成对来识别与相应实体相关联的记录簇，分析相应的对以确定该对的两个成员与公共实体相关联的概率，以及识别 一组重叠的对以生成与公共实体相关的记录集合。 可以通过分析记录字段并识别相似性来进一步分析集群以确定相应实体的规范名称或其他属性。

公开(公告)号：US20220374454A1

公开(公告)日：2022-11-24

申请号：US17812984

申请日：2022-07-15

Applicant: Palantir Technologies Inc.

Inventor： Lawrence Manning ,  Rahul Mehta ,  Daniel Erenrich ,  Guillem Palou Visa ,  Roger Hu ,  Xavier Falco ,  Rowan Gilmore ,  Eli Bingham ,  Jason Prestinario ,  Yifei Huang ,  Daniel Fernandez ,  Jeremy Elser ,  Clayton Sader ,  Rahul Agarwal ,  Matthew Elkherj ,  Nicholas Latourette ,  Aleksandr Zamoshchin

IPC: G06F16/28 ,  G06K9/62

Abstract: Computer implemented systems and methods are disclosed for automatically clustering and canonically identifying related data in various data structures. Data structures may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying clusters of records associated with a respective entity by grouping the records into pairs, analyzing the respective pairs to determine a probability that both members of the pair relate to a common entity, and identifying a cluster of overlapping pairs to generate a collection of records relating to a common entity. Clusters may further be analyzed to determine canonical names or other properties for the respective entities by analyzing record fields and identifying similarities.

公开(公告)号：US11150629B2

公开(公告)日：2021-10-19

申请号：US16736484

申请日：2020-01-07

Applicant: Palantir Technologies Inc.

Inventor： Mitchell Beard ,  Kai Shen ,  Roger Hu ,  Sachi Shah ,  Miklos Danka ,  Laurynas Pliuskys ,  Thomas Pearson

IPC: G05B19/4063 ,  G06Q10/06

Abstract: A system comprising a computer-readable storage medium storing at least one program and a method for determining, tracking, and anticipating risk in a manufacturing facility are presented. In example embodiments, the method includes generating a risk data model for the manufacturing facility based on correlations between historical staffing conditions of the manufacturing facility and deviations from existing manufacturing procedures. The method further includes receiving projected operational data that includes information related to anticipated future staffing conditions of the manufacturing facility. The method further includes calculating a risk score based on the projected operational data using the risk data model. The method further includes causing presentation of a user interface that includes a display of the risk score.

公开(公告)号：US20190079937A1

公开(公告)日：2019-03-14

申请号：US16189040

申请日：2018-11-13

Applicant: Palantir Technologies Inc.

Inventor： Lawrence Manning ,  Rahul Mehta ,  Daniel Erenrich ,  Guillem Palou Visa ,  Roger Hu ,  Xavier Falco ,  Rowan Gilmore ,  Eli Bingham ,  Jason Prestinario ,  Yifei Huang ,  Daniel Fernandez ,  Jeremy Elser ,  Clayton Sader ,  Rahul Agarwal ,  Matthew Elkherj ,  Nicholas Latourette ,  Aleksandr Zamoshchin

IPC: G06F17/30

Abstract: Computer implemented systems and methods are disclosed for automatically clustering and canonically identifying related data in various data structures. Data structures may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying clusters of records associated with a respective entity by grouping the records into pairs, analyzing the respective pairs to determine a probability that both members of the pair relate to a common entity, and identifying a cluster of overlapping pairs to generate a collection of records relating to a common entity. Clusters may further be analyzed to determine canonical names or other properties for the respective entities by analyzing record fields and identifying similarities.