Patents by Inventor Vilochan Suresh MULEY

Vilochan Suresh MULEY 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).

  • Computer-implemented systems and methods for time series exploration
    Patent number: 9916282
    Abstract: Systems and methods are provided for analyzing unstructured time stamped data. A distribution of time-stamped data is analyzed to identify a plurality of potential time series data hierarchies for structuring the data. An analysis of a potential time series data hierarchy may be performed. The analysis of the potential time series data hierarchies may include determining an optimal time series frequency and a data sufficiency metric for each of the potential time series data hierarchies. One of the potential time series data hierarchies may be selected based on a comparison of the data sufficiency metrics. Multiple time series may be derived in a single-read pass according to the selected time series data hierarchy. A time series forecast corresponding to at least one of the derived time series may be generated.
    Type: Grant
    Filed: June 10, 2015
    Date of Patent: March 13, 2018
    Assignee: SAS INSTITUTE INC.
    Inventors: Michael James Leonard, Edward Tilden Blair, Jerzy Michal Brzezicki, Udo V. Sglavo, Ranbir Singh Tomar, Kannukuzhiyil Kurien Kurien, Sujatha Pothireddy, Rajib Nath, Vilochan Suresh Muley
  • COMPUTER-IMPLEMENTED SYSTEMS AND METHODS FOR TIME SERIES EXPLORATION
    Publication number: 20150278153
    Abstract: Systems and methods are provided for analyzing unstructured time stamped data. A distribution of time-stamped data is analyzed to identify a plurality of potential time series data hierarchies for structuring the data. An analysis of a potential time series data hierarchy may be performed. The analysis of the potential time series data hierarchies may include determining an optimal time series frequency and a data sufficiency metric for each of the potential time series data hierarchies. One of the potential time series data hierarchies may be selected based on a comparison of the data sufficiency metrics. Multiple time series may be derived in a single-read pass according to the selected time series data hierarchy. A time series forecast corresponding to at least one of the derived time series may be generated.
    Type: Application
    Filed: June 10, 2015
    Publication date: October 1, 2015
    Inventors: Michael James Leonard, Edward Tilden Blair, Jerzy Michal Brzezicki, Udo V. Sglavo, Ranbir Singh Tomar, Kannukuzhiyil Kurien Kurien, Sujatha Pothireddy, Rajib Nath, Vilochan Suresh Muley
  • Computer-implemented systems and methods for time series exploration
    Patent number: 9087306
    Abstract: Systems and methods are provided for analyzing unstructured time stamped data of a physical process in order to generate structured hierarchical data for a hierarchical time series analysis application. A plurality of time series analysis functions are selected from a functions repository. Distributions of time stamped unstructured data are analyzed to identify a plurality of potential hierarchical structures for the unstructured data with respect to the selected time series analysis functions.
    Type: Grant
    Filed: July 13, 2012
    Date of Patent: July 21, 2015
    Assignee: SAS Institute Inc.
    Inventors: Michael James Leonard, Edward Tilden Blair, Jerzy Michal Brzezicki, Udo V. Sglavo, Ranbir Singh Tomar, Kannukuzhiyil Kurien Kurien, Sujatha Pothireddy, Rajib Nath, Vilochan Suresh Muley
  • Computer-Implemented Systems and Methods for Time Series Exploration
    Publication number: 20140019088
    Abstract: Systems and methods are provided for analyzing unstructured time stamped data of a physical process in order to generate structured hierarchical data for a hierarchical time series analysis application. A plurality of time series analysis functions are selected from a functions repository. Distributions of time stamped unstructured data are analyzed to identify a plurality of potential hierarchical structures for the unstructured data with respect to the selected time series analysis functions.
    Type: Application
    Filed: July 13, 2012
    Publication date: January 16, 2014
    Inventors: Michael James LEONARD, Edward Tilden BLAIR, Jerzy Michal BRZEZICKI, Udo V. SGLAVO, Ranbir Singh TOMAR, Kannukuzhiyil Kurien KURIEN, Sujatha POTHIREDDY, Rajib NATH, Vilochan Suresh MULEY