Patents by Inventor Ian Timourian

Ian Timourian has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20220284183
    Abstract: A step editor for data preparation can instruct a user interface to present a first plurality of operations to be applied in a sequential order to one or more sets of data, receive user inputs including at least one indication to mute at least one operation of the first plurality of operations to prevent the processors from performing the at least one operation, generate a second plurality of operations, the second plurality of operations to be applied in a sequential order to the sets of data and comprising the first plurality of operations excluding the operation muted by the user inputs, obtain a cached data traversal program associated with the second plurality of operations and comprising a representation of a result of transforming the sets of data, and instruct the user interface to present output based at least in part on execution of the cached data traversal program.
    Type: Application
    Filed: March 25, 2022
    Publication date: September 8, 2022
    Applicant: DataRobot, Inc.
    Inventors: Nenshad Bardoliwalla, Michael Matthews, Ian Timourian, Jing Chen, Lilia Gutnik, Whitman Kwok, Dave Brewster, Victor Tze-Yeuan Tso
  • Patent number: 11288447
    Abstract: Using a step editor for data preparation includes: receiving an indication of a user input with respect to at least some of a set of sequenced data preparation operations on a set of data; generating, using one or more processors, a signature based at least in part on the set of sequenced data preparation operations, references to the set of data, and the user input; using the generated signature to determine whether there exists a cached result associated with the set of sequenced data preparation operations, the references to the set of data, and the user input; based at least in part on the determination, obtaining a data traversal program representing a result associated with the set of sequenced operations, the references to the set of data, and the user input; and providing output based at least in part on the result represented by the obtained data traversal program.
    Type: Grant
    Filed: March 10, 2020
    Date of Patent: March 29, 2022
    Assignee: DR HoldCo 2, Inc.
    Inventors: Nenshad Dinshaw Bardoliwalla, Michael Matthews, Ian Timourian, Jing Chen, Lilia Gutnik, Whitman Kwok, Dave Brewster, Victor Tze-Yeuan Tso
  • Publication number: 20200210642
    Abstract: Using a step editor for data preparation includes: receiving an indication of a user input with respect to at least some of a set of sequenced data preparation operations on a set of data; generating, using one or more processors, a signature based at least in part on the set of sequenced data preparation operations, references to the set of data, and the user input; using the generated signature to determine whether there exists a cached result associated with the set of sequenced data preparation operations, the references to the set of data, and the user input; based at least in part on the determination, obtaining a data traversal program representing a result associated with the set of sequenced operations, the references to the set of data, and the user input; and providing output based at least in part on the result represented by the obtained data traversal program.
    Type: Application
    Filed: March 10, 2020
    Publication date: July 2, 2020
    Inventors: Nenshad Dinshaw Bardoliwalla, Michael Matthews, Ian Timourian, Jing Chen, Lilia Gutnik, Whitman Kwok, Dave Brewster, Victor Tze-Yeuan Tso
  • Patent number: 10642815
    Abstract: Using a step editor for data preparation includes receiving an indication of a user input with respect to at least some of a set of sequenced data preparation operations on a set of data. It further includes generating, using one or more processors, a signature based at least in part on the set of sequenced data preparation operations, references to the set of data, and the user input. It further includes using the generated signature to determine whether there exists a cached result associated with the set of sequenced data preparation operations, the references to the set of data, and the user input. It further includes based at least in part on the determination, obtaining a data traversal program representing a result associated with the set of sequenced operations, the references to the set of data, and the user input. It further includes providing output based at least in part on the result represented by the obtained data traversal program.
    Type: Grant
    Filed: October 14, 2015
    Date of Patent: May 5, 2020
    Assignee: Paxata, Inc.
    Inventors: Nenshad Dinshaw Bardoliwalla, Michael Matthews, Ian Timourian, Jing Chen, Lilia Gutnik, Whitman Kwok, Dave Brewster, Victor Tze-Yeuan Tso
  • Publication number: 20170109389
    Abstract: Using a step editor for data preparation includes: receiving an indication of a user input with respect to at least some of a set of sequenced data preparation operations on a set of data; generating, using one or more processors, a signature based at least in part on the set of sequenced data preparation operations, references to the set of data, and the user input; using the generated signature to determine whether there exists a cached result associated with the set of sequenced data preparation operations, the references to the set of data, and the user input; based at least in part on the determination, obtaining a data traversal program representing a result associated with the set of sequenced operations, the references to the set of data, and the user input; and providing output based at least in part on the result represented by the obtained data traversal program.
    Type: Application
    Filed: October 14, 2015
    Publication date: April 20, 2017
    Inventors: Nenshad Dinshaw Bardoliwalla, Michael Matthews, Ian Timourian, Jing Chen, Lilia Gutnik, Whitman Kwok, Dave Brewster, Victor Tze-Yeuan Tso