Patents by Inventor Arpit KHURDIYA

Arpit KHURDIYA 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).

  • Time-series analysis based on world event derived from unstructured content
    Patent number: 9646077
    Abstract: The present subject matter relates to analysis of time-series data based on world events derived from unstructured content. According to one embodiment, a method comprises obtaining event information corresponding to at least one world event from unstructured content obtained from a plurality of data sources. The event information includes at least time of occurrence of the world event, time of termination of the world event, and at least one entity associated with the world event. Further, the method comprises retrieving time-series data pertaining to the entity associated with the world event from a time-series data repository. Based on the event information and the time-series data, the world event is aligned and correlated with at least one time-series event to identify at least one pattern indicative of cause-effect relationship amongst the world event and the time-series event.
    Type: Grant
    Filed: July 10, 2014
    Date of Patent: May 9, 2017
    Assignee: TATA CONSULTANCY SERVICES LIMITED
    Inventors: Lipika Dey, Ishan Verma, Arpit Khurdiya, Diwakar Mahajan, Gautam Shroff
  • TIME-SERIES ANALYSIS BASED ON WORLD EVENT DERIVED FROM UNSTRUCTURED CONTENT
    Publication number: 20150019513
    Abstract: The present subject matter relates to analysis of time-series data based on world events derived from unstructured content. According to one embodiment, a method comprises obtaining event information corresponding to at least one world event from unstructured content obtained from a plurality of data sources. The event information includes at least time of occurrence of the world event, time of termination of the world event, and at least one entity associated with the world event. Further, the method comprises retrieving time-series data pertaining to the entity associated with the world event from a time-series data repository. Based on the event information and the time-series data, the world event is aligned and correlated with at least one time-series event to identify at least one pattern indicative of cause-effect relationship amongst the world event and the time-series event.
    Type: Application
    Filed: July 10, 2014
    Publication date: January 15, 2015
    Inventors: Lipika DEY, Ishan VERMA, Arpit KHURDIYA, Diwakar MAHAJAN, Gautam SHROFF