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公开(公告)号:US20210141521A1
公开(公告)日:2021-05-13
申请号:US17122308
申请日:2020-12-15
Applicant: Palantir Technologies Inc.
Inventor: Anton Apostolatos , Pedro Sanzovo , Francis Chen , John McRaven , Miranda Luna , Sahiba Sachdeva , Xavier Falco
IPC: G06F3/0484 , G06F16/26 , G06T11/20
Abstract: Methods and systems for presenting time series for analysis. A method includes presenting a first visualization of summary information for an initial data set of a plurality of batches, presenting a filtered data set of the initial data set having a first batch identifier associated with a first batch and the second batch identifier associated with a second batch, executing a time series connector including transmitting a request to a time series application, the request comprising the first batch identifier, the second batch identifier, and the time series configuration data. The method further includes causing presentation of a user interface comprising a chart including a first plot for first time series data for the first batch identifier and a second plot for second time series data for the second batch identifier, the chart configured to the time series configuration data, and the first plot is aligned to the second plot.
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12.
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.
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公开(公告)号:US20250104304A1
公开(公告)日:2025-03-27
申请号:US18975199
申请日:2024-12-10
Applicant: Palantir Technologies Inc.
Inventor: John McRaven , Francis Chen , Shuyang Li , Spencer Tank , Xavier Falco
IPC: G06T11/20 , G06F11/30 , G06F11/32 , G06F16/36 , G06F16/383
Abstract: Methods and systems for structuring, storing and displaying time series data in a user interface. One system includes processors executing instructions to determine, from time series data from a first sensor, a first subset of time series data for the first batch from the first start time and the first end time, determine, from the time series data from the first sensor, a second subset of time series data for the second batch from the second start time and the second end time, generate a time series user interface comprising a chart, the chart including a first plot for the first subset of time series data and a second plot for the second subset of time series data, the first plot being aligned to the second plot, and cause presentation of the time series user interface.
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14.
公开(公告)号:US20240320227A1
公开(公告)日:2024-09-26
申请号:US18731699
申请日:2024-06-03
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 , G06F16/28 , G06F16/35 , G06F16/9535 , 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.
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公开(公告)号:US12038933B2
公开(公告)日:2024-07-16
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: G06F16/00 , G06F16/2457 , G06F16/28 , G06F16/35 , G06F16/9535 , 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.
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公开(公告)号:US11579762B2
公开(公告)日:2023-02-14
申请号:US17580451
申请日:2022-01-20
Applicant: Palantir Technologies Inc.
Inventor: Anton Apostolatos , Pedro Sanzovo , Francis Chen , John McRaven , Miranda Luna , Sahiba Sachdeva , Xavier Falco
IPC: G06F3/0484 , G06F3/04847 , G06F16/26 , G06T11/20
Abstract: Methods and systems for presenting time series for analysis. A method includes presenting a first visualization of summary information for an initial data set of a plurality of batches, presenting a filtered data set of the initial data set having a first batch identifier associated with a first batch and the second batch identifier associated with a second batch, executing a time series connector including transmitting a request to a time series application, the request comprising the first batch identifier, the second batch identifier, and the time series configuration data. The method further includes causing presentation of a user interface comprising a chart including a first plot for first time series data for the first batch identifier and a second plot for second time series data for the second batch identifier, the chart configured to the time series configuration data, and the first plot is aligned to the second plot.
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公开(公告)号:US11074300B1
公开(公告)日:2021-07-27
申请号:US15782647
申请日:2017-10-12
Applicant: Palantir Technologies Inc.
Inventor: Xavier Falco , James Campbell
IPC: G06Q30/00 , G06F16/904 , G06F16/901 , G06F16/9032
Abstract: Techniques for visualizing dependencies in a data analytics system are described. In an embodiment, a visualization system may receive datasets and dataset dependency information for the datasets. The visualization system may receive a first type of analysis objects from a first analysis object system and dataset dependency information from an analysis object dependency service. The visualization system may receive a second type of analysis objects from a second analysis object system. The second type of analysis object may include a JSON representation of a set of operations that are applied during analysis such as a set of programming instructions. The visualization system may traverse and analyze the JSON representation to determine, for a given analysis object, one or more parent dependencies. The visualization system can then generate a graph of the datasets and analysis objects.
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公开(公告)号:US10902654B2
公开(公告)日:2021-01-26
申请号:US16387392
申请日:2019-04-17
Applicant: Palantir Technologies Inc.
Inventor: John McRaven , Francis Chen , Shuyang Li , Spencer Tank , Xavier Falco
Abstract: Methods and systems for structuring, storing and displaying time series data in a user interface. One system includes processors executing instructions to determine, from time series data from a first sensor, a first subset of time series data for the first batch from the first start time and the first end time, determine, from the time series data from the first sensor, a second subset of time series data for the second batch from the second start time and the second end time, generate a time series user interface comprising a chart, the chart including a first plot for the first subset of time series data and a second plot for the second subset of time series data, the first plot being aligned to the second plot, and cause presentation of the time series user interface.
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19.
公开(公告)号:US20190108249A1
公开(公告)日:2019-04-11
申请号:US16198614
申请日:2018-11-21
Applicant: Palantir Technologies Inc.
Inventor: Matthew Elkherj , Xavier Falco , Pierre Cholet , Giulio D'Ali' Aula , Andrew Ehrich
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for a feature clustering of users, user correlation database access, and user interface generation system. The system can obtain information stored in different databases located across geographic regions, and determine unique users from the different information. The information can be included in unique records in the databases, with each record describing a particular user, and with each user described with imperfect identifying information. The system can analyze the different information utilizing machine learning models, and can associate each record with a particular unique user. The system can obtain identifications of items associated with each user, and determine the propensity of the user to disassociate with one or more items, or determine likelihoods of future association with different items not presently associated with the user.
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20.
公开(公告)号:US10140327B2
公开(公告)日:2018-11-27
申请号:US15239585
申请日:2016-08-17
Applicant: PALANTIR TECHNOLOGIES INC.
Inventor: Matthew Elkherj , Xavier Falco , Pierre Cholet , Giulio D'Ali' Aula , Andrew Ehrich
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for a feature clustering of users, user correlation database access, and user interface generation system. The system can obtain information stored in different databases located across geographic regions, and determine unique users from the different information. The information can be included in unique records in the databases, with each record describing a particular user, and with each user described with imperfect identifying information. The system can analyze the different information utilizing machine learning models, and can associate each record with a particular unique user. The system can obtain identifications of items associated with each user, and determine the propensity of the user to disassociate with one or more items, or determine likelihoods of future association with different items not presently associated with the user.
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