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：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：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：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.

公开(公告)号：US12174800B2

公开(公告)日：2024-12-24

申请号：US18415253

申请日：2024-01-17

Applicant: Palantir Technologies Inc.

Inventor： David Lisuk ,  Daniel Erenrich ,  Guodong Xu ,  Luis Voloch ,  Rahul Agarwal ,  Simon Slowik ,  Aleksandr Zamoshchin ,  Andre Frederico Cavalheiro Menck ,  Anirvan Mukherjee ,  Daniel Chin

IPC: G06F16/00 ,  G06F16/13 ,  G06F16/18 ,  G06F16/188 ,  G06F30/00 ,  G06N7/00 ,  G06F111/20

Abstract: A model management system provides a centralized repository for storing and accessing models. The model management system receives an input to store a model object in a first model state generated based on a first set of known variables. The model management system generates a first file including a first set of functions defining the first model state and associates the first file with a model key identifying the model object. The model management system receives an input to store the model object in a second model state having been generated based on the first model state and a second set of known variables. The model management system generates a second file including a second set of functions defining the second model state and associates the second file with the model key. The model management system identifies available versions of the model object based on the model key.

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.

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.

公开(公告)号：US11526471B2

公开(公告)日：2022-12-13

申请号：US17093381

申请日：2020-11-09

Applicant: Palantir Technologies Inc.

Inventor： David Lisuk ,  Daniel Erenrich ,  Guodong Xu ,  Luis Voloch ,  Rahul Agarwal ,  Simon Slowik ,  Aleksandr Zamoshchin ,  Andre Frederico Cavalheiro Menck ,  Anirvan Mukherjee ,  Daniel Chin

IPC: G06F16/00 ,  G06F16/18 ,  G06N7/00 ,  G06F16/13 ,  G06F16/188 ,  G06F30/00 ,  G06F111/20

Abstract: A model management system provides a centralized repository for storing and accessing models. The model management system receives an input to store a model object in a first model state generated based on a first set of known variables. The model management system generates a first file including a first set of functions defining the first model state and associates the first file with a model key identifying the model object. The model management system receives an input to store the model object in a second model state having been generated based on the first model state and a second set of known variables. The model management system generates a second file including a second set of functions defining the second model state and associates the second file with the model key. The model management system identifies available versions of the model object based on the model key.

公开(公告)号：US20240152490A1

公开(公告)日：2024-05-09

申请号：US18415253

申请日：2024-01-17

Applicant: Palantir Technologies Inc.

Inventor： David Lisuk ,  Daniel Erenrich ,  Guodong Xu ,  Luis Voloch ,  Rahul Agarwal ,  Simon Slowik ,  Aleksandr Zamoshchin ,  Andre Frederico Cavalheiro Menck ,  Anirvan Mukherjee ,  Daniel Chin

IPC: G06F16/18 ,  G06F16/13 ,  G06F16/188 ,  G06F30/00 ,  G06N7/00

CPC classification number: G06F16/1873 ,  G06F16/13 ,  G06F16/196 ,  G06F30/00 ,  G06N7/00 ,  G06F2111/20

Abstract: A model management system provides a centralized repository for storing and accessing models. The model management system receives an input to store a model object in a first model state generated based on a first set of known variables. The model management system generates a first file including a first set of functions defining the first model state and associates the first file with a model key identifying the model object. The model management system receives an input to store the model object in a second model state having been generated based on the first model state and a second set of known variables. The model management system generates a second file including a second set of functions defining the second model state and associates the second file with the model key. The model management system identifies available versions of the model object based on the model key.

公开(公告)号：US11907175B2

公开(公告)日：2024-02-20

申请号：US18051035

申请日：2022-10-31

Applicant: Palantir Technologies Inc.

Inventor： David Lisuk ,  Daniel Erenrich ,  Guodong Xu ,  Luis Voloch ,  Rahul Agarwal ,  Simon Slowik ,  Aleksandr Zamoshchin ,  Andre Frederico Cavalheiro Menck ,  Anirvan Mukherjee ,  Daniel Chin

IPC: G06F16/00 ,  G06F16/18 ,  G06N7/00 ,  G06F16/13 ,  G06F16/188 ,  G06F30/00 ,  G06F111/20

CPC classification number: G06F16/1873 ,  G06F16/13 ,  G06F16/196 ,  G06F30/00 ,  G06N7/00 ,  G06F2111/20

Abstract: A model management system provides a centralized repository for storing and accessing models. The model management system receives an input to store a model object in a first model state generated based on a first set of known variables. The model management system generates a first file including a first set of functions defining the first model state and associates the first file with a model key identifying the model object. The model management system receives an input to store the model object in a second model state having been generated based on the first model state and a second set of known variables. The model management system generates a second file including a second set of functions defining the second model state and associates the second file with the model key. The model management system identifies available versions of the model object based on the model key.