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公开(公告)号:US20230196644A1
公开(公告)日:2023-06-22
申请号:US18173435
申请日:2023-02-23
Applicant: Palantir Technologies Inc.
Inventor: John McRaven , Francis Chen , Shuyang Li , Spencer Tank , Xavier Falco
IPC: G06T11/20 , G06F16/36 , G06F16/383 , G06F11/30 , G06F11/32
CPC classification number: G06T11/206 , G06F16/367 , G06F16/383 , G06F11/3089 , G06F11/32
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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公开(公告)号:US20230169116A1
公开(公告)日:2023-06-01
申请号:US18151881
申请日:2023-01-09
Applicant: Palantir Technologies Inc.
Inventor: Xavier Falco , John McRaven , Spencer Tank , Shuyang Li , Mikhail Proniushkin
IPC: G06F16/901 , G06F16/383 , G06F16/338 , G06F16/36 , G06T11/20
CPC classification number: G06F16/9024 , G06F16/383 , G06F16/338 , G06F16/367 , G06T11/206
Abstract: Methods and systems for presenting time series for analysis. A method may receive a first input defining a metric that indicates a relationship between a first and a second time series that are each associated with at least a first data object of a plurality of data objects, generate a first plot depicting the metric as determined from the first and the second time series, receive, via the user interface, a second input of a selection of a second data object of the plurality of data objects, determine, via an ontology, a relationship of the second data object with a third and a fourth time series that, respectively, are associated with series types that match series types associated with the first and the second time series, and generate and display, in the user interface, a second plot depicting the metric as determined from the third and the fourth time series.
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公开(公告)号:US11580164B1
公开(公告)日:2023-02-14
申请号:US16661778
申请日:2019-10-23
Applicant: Palantir Technologies Inc.
Inventor: Xavier Falco , John McRaven , Spencer Tank , Shuyang Li , Mikhail Proniushkin
IPC: G06F16/36 , G06T11/20 , G06F16/901 , G06F16/383 , G06F16/338
Abstract: Methods and systems for presenting time series for analysis. A method may receive a first input defining a metric that indicates a relationship between a first and a second time series that are each associated with at least a first data object of a plurality of data objects, generate a first plot depicting the metric as determined from the first and the second time series, receive, via the user interface, a second input of a selection of a second data object of the plurality of data objects, determine, via an ontology, a relationship of the second data object with a third and a fourth time series that, respectively, are associated with series types that match series types associated with the first and the second time series, and generate and display, in the user interface, a second plot depicting the metric as determined from the third and the fourth time series.
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公开(公告)号:US20220004577A1
公开(公告)日:2022-01-06
申请号:US17384966
申请日:2021-07-26
Applicant: Palantir Technologies Inc.
Inventor: Xavier Falco , James Campbell
IPC: 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:US20210117051A1
公开(公告)日:2021-04-22
申请号:US17031707
申请日:2020-09-24
Applicant: Palantir Technologies Inc.
Inventor: John McRaven , Francis Chen , Shuyang Li , Spencer Tank , Xavier Falco
IPC: G06F3/0482 , G06T11/20 , G06F16/248
Abstract: Methods and systems for generating and analyzing visualizations based on a group of sets of data objects. One system includes processors executing instructions to present the sets of data objects in a selectable format on a display device, receive a user selection of a first set of data objects, generate a user interface comprising an indication of the first set of data objects and a plurality of selectable tools to generate a first data visualization of the first set of objects from one or more operations to the first set of objects, receive a user selection of a second set of data objects, receive a user selection to cause the application of the one or more operations to the second set of data objects, and update the user interface to comprise a second visualization based on the one or more operations performed on the second set of data objects.
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公开(公告)号:US20190325624A1
公开(公告)日:2019-10-24
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
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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公开(公告)号:US20190050453A1
公开(公告)日:2019-02-14
申请号:US15831188
申请日:2017-12-04
Applicant: Palantir Technologies Inc.
Inventor: Benjamin Duffield , David Tobin , Xavier Falco , John McRaven , Steven Fackler , Pawel Adamowicz , Aditya Shashi
IPC: G06F17/30
CPC classification number: G06F16/245 , G06F16/24542 , G06F16/2477 , G06F16/248 , G06F16/258
Abstract: Systems and methods are provided for improved time series databases and time series operations. A time series service responds to requests from external devices. The external devices request time series data and submit time series queries. The time series service generates planned and efficient time series queries from the initial queries. The time series service performs operations such as unit conversion, interpolation, and performing operations on time series data. The time series service can identify which time series database to query from and/or cause data to be populated into a time series database from a data pipeline system.
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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.
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