公开(公告)号：US11727481B2

公开(公告)日：2023-08-15

申请号：US17445439

申请日：2021-08-19

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: G06Q40/00 ,  G06F16/28 ,  G06F16/9038 ,  G06F16/2457 ,  G06F3/0482 ,  G06F3/04842 ,  G06Q40/02 ,  H04L9/40 ,  G06F12/1036 ,  G06F16/34 ,  G06F18/23 ,  G06F18/40 ,  G06F21/55

CPC classification number: G06Q40/00 ,  G06F3/0482 ,  G06F3/04842 ,  G06F16/24578 ,  G06F16/287 ,  G06F16/9038 ,  G06Q40/02 ,  H04L63/1416 ,  H04L63/1425 ,  H04L63/1433 ,  G06F12/1036 ,  G06F16/34 ,  G06F18/23 ,  G06F18/40 ,  G06F21/552

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：US20230096596A1

公开(公告)日：2023-03-30

申请号：US18061195

申请日：2022-12-02

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: H04L9/40 ,  G06Q40/00 ,  G06F16/28

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：US20220165009A1

公开(公告)日：2022-05-26

申请号：US17671168

申请日：2022-02-14

Applicant: Palantir Technologies Inc.

Inventor： Salar Al Khafaji ,  James Thompson ,  Joseph Hashim ,  Joseph Rafidi ,  Parvathy Menon ,  Patrick Szmucer ,  Robert Kruszewski ,  Slawomir Mucha ,  Tyler Uhlenkamp ,  Vilmos Ioo

IPC: G06T11/20 ,  G06T3/40

Abstract: In some embodiments, a method comprises obtaining a pipeline of operations, the pipeline of operations including a plurality of functions providing any of one or more modification operations or visualization operations for a plurality of datasets. A first dynamic visualization of the pipeline of operations at a first level of granularity is generated. A second dynamic visualization of the pipeline of operations at a second level of granularity is generated in response to user input.

公开(公告)号：US20210334254A1

公开(公告)日：2021-10-28

申请号：US17225883

申请日：2021-04-08

Applicant: Palantir Technologies Inc.

Inventor： James Thompson ,  Joseph Rafidi ,  Patrick Szmucer

IPC: G06F16/22 ,  G06F16/16 ,  G06F16/906 ,  G06F16/909 ,  G06F16/901

Abstract: A resource dependency system may track data dependencies and data transformations for individual columns of the data sets over the span of the data pipeline (referred to as a provenance or lineage of a column). Column provenance/lineage can be logged using metadata or graph-like data structures, which the resource dependency system can generate, store, manage, and access. Column provenance/lineage can be used to generate user interfaces displaying visual node graphs with columns as nodes and the data dependencies and data transformations associated with the columns as edges between the nodes.

公开(公告)号：US10956406B2

公开(公告)日：2021-03-23

申请号：US15990338

申请日：2018-05-25

Applicant: Palantir Technologies Inc.

Inventor： Jeppe Hallgren ,  Ammaar Reshi ,  James Thompson

IPC: G06F16/23 ,  G06F16/242 ,  G06F16/25

Abstract: Using a distributed database system that manages a plurality of different raw datasets and a plurality of derived datasets that have been derived from the raw datasets based on a plurality of derivation relationships that link the raw datasets to the derived datasets, a subset of records that are candidates for propagated deletion of specified data values is determined. One or more particular raw datasets that contain the subset of records is determined. The specified data values from the particular raw datasets is deleted. Based on the plurality of derivation relationships and the particular raw datasets, one or more particular derived datasets that have been derived from the particular raw datasets is identified. A build of one or more particular derived datasets to result in creating and storing one or more particular derived datasets without the specified data values deleted from the particular raw datasets is generated and executed.

公开(公告)号：US10579647B1

公开(公告)日：2020-03-03

申请号：US15013707

申请日：2016-02-02

Applicant: PALANTIR TECHNOLOGIES INC.

Inventor： Charles Allsopp ,  James Thompson ,  Lloyd Ho ,  Christopher Wynnyk

IPC: G06F16/28

Abstract: Systems and methods are provided for analyzing entity performance. In one implementation, a method is provided that includes recognizing an identifier associated with an entity and accessing a data structure comprising information associated with a plurality of interactions. The method also comprises identifying one or more interactions of the plurality of interactions based on the recognized identifier. The method further comprises processing the information of the identified interactions to analyze a performance of the entity and providing the processed information to display the performance of the entity on a user interface.

公开(公告)号：US10187757B1

公开(公告)日：2019-01-22

申请号：US15047405

申请日：2016-02-18

Applicant: Palantir Technologies Inc.

Inventor： James Thompson

IPC: H04W4/06 ,  H04W4/04 ,  G06F1/16 ,  H04B5/00 ,  H04W4/02

Abstract: A system for retrieving information about a position of a mobile computing device for use in an application, which includes a network of local positioning docks (PDs), each capable of docking a mobile computing device by restricting three dimensions of a physical position of the mobile computing device near one of the PDs; a database capable of storing information about the positions of the PDs within the network; a calculator capable of determining, based on a position of a positioning dock (PD), the position of the mobile computing device; and an application programming interface (API) connected to the database and capable of outputting the position of a PD to the mobile computing device.

公开(公告)号：US20180101594A1

公开(公告)日：2018-04-12

申请号：US15839044

申请日：2017-12-12

Applicant: Palantir Technologies Inc.

Inventor： John Chakerian ,  Robert Fink ,  Mark Schafer ,  James Thompson ,  Marvin Sum ,  Allen Cai

IPC: G06F17/30 ,  G06F3/0482 ,  G06F17/21 ,  G06F3/0484

CPC classification number: G06F16/285 ,  G06F3/0482 ,  G06F3/04842 ,  G06F16/24 ,  G06F16/24578 ,  G06F16/287 ,  G06F16/35 ,  G06F16/355 ,  G06F16/93 ,  G06F16/9535 ,  G06F17/212

Abstract: Systems and methods are disclosed for news events detection and visualization. In accordance with one implementation, a method is provided for news events detection and visualization. The method includes, for example, obtaining one or more documents, the one or more documents being grouped into one or more clusters having a score, and the one or more clusters being grouped into one or more megaclusters, presenting information associated with the one or more documents on one or more timelines, wherein the one or more documents are grouped into different megaclusters being presented in a visually distinct way, and filtering the presented information based on the scores associated with the one or more clusters.

公开(公告)号：US09875293B2

公开(公告)日：2018-01-23

申请号：US15053177

申请日：2016-02-25

Applicant: PALANTIR TECHNOLOGIES INC.

Inventor： John Chakerian ,  Robert Fink ,  Mark Schafer ,  James Thompson ,  Marvin Sum ,  Allen Cai

IPC: G06F7/02 ,  G06F17/30 ,  G06F17/21 ,  G06F3/0482 ,  G06F3/0484

CPC classification number: G06F17/30598 ,  G06F3/0482 ,  G06F3/04842 ,  G06F17/212 ,  G06F17/30011 ,  G06F17/30386 ,  G06F17/3053 ,  G06F17/30601 ,  G06F17/30705 ,  G06F17/3071 ,  G06F17/30867

Abstract: Systems and methods are disclosed for news events detection and visualization. In accordance with one implementation, a method is provided for news events detection and visualization. The method includes, for example, obtaining one or more documents, the one or more documents being grouped into one or more clusters having a score, and the one or more clusters being grouped into one or more megaclusters, presenting information associated with the one or more documents on one or more timelines, wherein the one or more documents are grouped into different megaclusters being presented in a visually distinct way, and filtering the presented information based on the scores associated with the one or more clusters.

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。