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51.发明申请公开(公告)号：US20210048988A1
公开(公告)日：2021-02-18
申请号：US17070207
申请日：2020-10-14
Applicant: Palantir Technologies Inc.
Inventor： Mark Elliot , Punyashloka Biswal , Ankit Shankar , Omar Ali , John Chakerian , Ben Duffield , Adam Borochoff
Abstract: The programming notebook system, methods, and user interfaces described herein provide software developers with enhanced tools by which a programming notebook workflow and session history associated with code cells in a programming notebook may be tracked and maintained. As a developer progresses through a development workflow, the developer can select an option to save a program code card representing some or all of the program code cell inputs. A card editor user interface may present an aggregated listing of all program code the developer has provided across multiple code cells during the current session which the developer can edit, refine, and/or comment. The card editor may also allow the developer to add associated user interface code to display a UI component associated with the program code card, and allow the developer to add a description and tags for the card so that the card can be searched for and reused.
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公开(公告)号：US20190324989A1
公开(公告)日：2019-10-24
申请号：US16276447
申请日：2019-02-14
Applicant: Palantir Technologies Inc.
Inventor： Adam Borochoff , Joseph Rafidi , Parvathy Menon
IPC: G06F16/901 , G06F16/16 , G06F16/17 , G06F9/50 , G06F3/0484
Abstract: A resource dependency system displays two dynamically interactive interfaces in a resource dependency user interface, a hierarchical resource repository and a dependency graph user interface. User interactions on each interface can dynamically update either interface. For example, a selection of a particular resource in the dependency graph user interface causes the system to update the dependency graph user interface to indicate the selection and also updates the hierarchical resource repository to navigate to the appropriate folder corresponding to the stored location of the selected resource. In another example, a selection of a particular resource in the hierarchical resource repository causes the system to update the hierarchical resource repository to indicate the selection and also updates the dependency graph user interface to display an updated graph, indicate the selection and, in some embodiments, focus on the selected resource by zooming into a portion of the graph.
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53.发明申请公开(公告)号：US20190087454A1
公开(公告)日：2019-03-21
申请号：US16197136
申请日：2018-11-20
Applicant: Palantir Technologies Inc.
Inventor： Mark Elliot , Benjamin Duffield , Adam Borochoff
IPC: G06F17/30 , G06F3/0484 , G06F3/0482 , G06F3/0481
CPC classification number: G06F16/2423 , G06F3/04817 , G06F3/0482 , G06F3/04842 , G06F3/04847 , G06F16/248 , G06F16/26
Abstract: The systems and methods described herein provide highly dynamic and interactive data analysis user interfaces which enable data analysts to quickly and efficiently explore large volume data sources. In particular, a data analysis system, such as described herein, may provide features to enable the data analyst to investigate large volumes of data over many different paths of analysis while maintaining detailed and retraceable steps taken by the data analyst over the course of an investigation, as captured via the data analyst's queries and user interaction with the user interfaces provided by the data analysis system. Data analysis paths may involve exploration of high volume data sets, such as Internet proxy data, which may include trillions of rows of data. The data analyst may pursue a data analysis path that involves, among other things, applying filters, joining to other tables in a database, viewing interactive data visualizations, and so on.
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54.发明授权公开(公告)号：US10127021B1
公开(公告)日：2018-11-13
申请号：US15392168
申请日：2016-12-28
Applicant: Palantir Technologies Inc.
Inventor： Mark Elliot , Punyashloka Biswal , Ankit Shankar , Omar Ali , John Chakerian , Ben Duffield , Adam Borochoff
IPC: G06F8/34 , G06F8/36 , G06F3/0481 , G06F11/36 , G06T11/20
Abstract: The programming notebook system, methods, and user interfaces described herein provide software developers with enhanced tools by which a programming notebook workflow and session history associated with code cells in a programming notebook may be tracked and maintained. As a developer progresses through a development workflow, the developer can select an option to save a program code card representing some or all of the program code cell inputs. A card editor user interface may present an aggregated listing of all program code the developer has provided across multiple code cells during the current session which the developer can edit, refine, and/or comment. The card editor may also allow the developer to add associated user interface code to display a UI component associated with the program code card, and allow the developer to add a description and tags for the card so that the card can be searched for and reused.
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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
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.
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Patent Agency Ranking
公开(公告)号：US20170116259A1
公开(公告)日：2017-04-27
申请号：US15398113
申请日：2017-01-04
Applicant: Palantir Technologies Inc.
Inventor： Mark Elliot , Benjamin Duffield , Adam Borochoff
IPC: G06F17/30 , G06F3/0481
CPC classification number: G06F17/30392 , G06F3/04817 , G06F3/0482 , G06F3/04842 , G06F3/04847 , G06F17/30554 , G06F17/30572
Abstract: The systems and methods described herein provide highly dynamic and interactive data analysis user interfaces which enable data analysts to quickly and efficiently explore large volume data sources. In particular, a data analysis system, such as described herein, may provide features to enable the data analyst to investigate large volumes of data over many different paths of analysis while maintaining detailed and retraceable steps taken by the data analyst over the course of an investigation, as captured via the data analyst's queries and user interaction with the user interfaces provided by the data analysis system. Data analysis paths may involve exploration of high volume data sets, such as Internet proxy data, which may include trillions of rows of data. The data analyst may pursue a data analysis path that involves, among other things, applying filters, joining to other tables in a database, viewing interactive data visualizations, and so on.
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57.发明申请公开(公告)号：US20170102863A1
公开(公告)日：2017-04-13
申请号：US15092964
申请日：2016-04-07
Applicant: Palantir Technologies Inc.
Inventor： Mark Elliot , Benjamin Duffield , Adam Borochoff
IPC: G06F3/0484 , G06F3/0482 , G06F17/30
CPC classification number: G06F17/30392 , G06F3/04817 , G06F3/0482 , G06F3/04842 , G06F3/04847 , G06F17/30554 , G06F17/30572
Abstract: The systems and methods described herein provide highly dynamic and interactive data analysis user interfaces which enable data analysts to quickly and efficiently explore large volume data sources. In particular, a data analysis system, such as described herein, may provide features to enable the data analyst to investigate large volumes of data over many different paths of analysis while maintaining detailed and retraceable steps taken by the data analyst over the course of an investigation, as captured via the data analyst's queries and user interaction with the user interfaces provided by the data analysis system. Data analysis paths may involve exploration of high volume data sets, such as Internet proxy data, which may include trillions of rows of data. The data analyst may pursue a data analysis path that involves, among other things, applying filters, joining to other tables in a database, viewing interactive data visualizations, and so on.
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公开(公告)号：US20160344758A1
公开(公告)日：2016-11-24
申请号：US14473920
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: H04L29/06 , G08B21/18 , G06F3/0484
CPC classification number: G08B21/18 , G06F3/04842 , H04L63/0281 , H04L63/1433 , 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。
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公开(公告)号：US09171334B1
公开(公告)日：2015-10-27
申请号：US14139628
申请日：2013-12-23
Applicant: Palantir Technologies, Inc.
Inventor： Alexander Visbal , Adam Borochoff , Jacob Albertson , Trevor Austin , Christopher Rogers , Daniel Campos , Matthew Sprague , Michael Kross , Parvathy Menon , Michael Harris
IPC: G06Q40/00
CPC classification number: G06F17/3053 , G06F17/30345 , G06F17/30412 , G06F17/30539 , G06F17/30572 , G06F17/30598 , G06F17/30601 , G06F17/30604 , G06F17/30699 , G06F17/30705 , G06F17/3071 , G06F17/30867 , G06Q10/10 , G06Q20/4016 , G06Q30/0185 , G06Q40/00 , G06Q40/02 , G06Q40/025 , G06Q40/10 , G06Q40/123
Abstract: In various embodiments, systems, methods, and techniques are disclosed for generating a collection of clusters of related data from a seed. Seeds may be generated based on seed generation strategies or rules. Clusters may be generated by, for example, retrieving a seed, adding the seed to a first cluster, retrieving a clustering strategy or rules, and adding related data and/or data entities to the cluster based on the clustering strategy. Various cluster scores may be generated based on attributes of data in a given cluster. Further, cluster metascores may be generated based on various cluster scores associated with a cluster. Clusters may be ranked based on cluster metascores. Various embodiments may enable an analyst to discover various insights related to data clusters, and may be applicable to various tasks including, for example, tax fraud detection, beaconing malware detection, malware user-agent detection, and/or activity trend detection, among various others.
Abstract translation: 在各种实施例中，公开了用于从种子生成相关数据集合的集合的系统，方法和技术。 可以根据种子生成策略或规则生成种子。 可以通过例如检索种子，将种子添加到第一群集，检索群集策略或规则，以及基于聚类策略将相关数据和/或数据实体添加到群集来生成群集。 可以基于给定簇中的数据的属性来生成各种聚类分数。 此外，可以基于与集群相关联的各种聚类分数来生成集群组合。 群集可能会根据群集元素进行排名。 各种实施例可以使分析人员能够发现与数据集群相关的各种见解，并且可以适用于各种任务，包括例如税欺诈检测，信标恶意软件检测，恶意软件用户代理检测和/或活动趋势检测 其他。
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公开(公告)号：US20250156479A1
公开(公告)日：2025-05-15
申请号：US19019998
申请日：2025-01-14
Applicant: Palantir Technologies Inc.
Inventor： Adam Borochoff , Joseph Rafidi , Parvathy Menon
IPC: G06F16/901 , G06F3/04847 , G06F9/50 , G06F16/16 , G06F16/17
Abstract: A resource dependency system displays two dynamically interactive interfaces in a resource dependency user interface, a hierarchical resource repository and a dependency graph user interface. User interactions on each interface can dynamically update either interface. For example, a selection of a particular resource in the dependency graph user interface causes the system to update the dependency graph user interface to indicate the selection and also updates the hierarchical resource repository to navigate to the appropriate folder corresponding to the stored location of the selected resource. In another example, a selection of a particular resource in the hierarchical resource repository causes the system to update the hierarchical resource repository to indicate the selection and also updates the dependency graph user interface to display an updated graph, indicate the selection and, in some embodiments, focus on the selected resource by zooming into a portion of the graph.
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