Patents by Inventor Tan Hung M. NG

Tan Hung M. NG 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).

  • Patent number: 10956821
    Abstract: Embodiments for accurate temporal event predictive modeling by a processor. An average reverse event delay may be determined from one or more event delays in a time-series window. A time-series event may be predicted by applying the average reverse event delay in conjunction with one or more weighted factors in a predictive model.
    Type: Grant
    Filed: November 29, 2016
    Date of Patent: March 23, 2021
    Assignee: International Business Machines Corporation
    Inventors: Charu C. Aggarwal, Lingtao Cao, Tan Hung M. Ng, Saket Sathe, Deepak S. Turaga
  • Publication number: 20200027024
    Abstract: Embodiments for accurate temporal event predictive modeling by a processor. An average reverse event delay may be determined from one or more event delays in a time-series window. A time-series event may be predicted by applying the average reverse event delay in conjunction with one or more weighted factors in a predictive model.
    Type: Application
    Filed: September 30, 2019
    Publication date: January 23, 2020
    Inventors: Charu C. Aggarwal, Lingtao Cao, Tan Hung M. Ng, Saket Sathe, Deepak S. Turaga
  • Publication number: 20200027023
    Abstract: Embodiments for accurate temporal event predictive modeling by a processor. An average reverse event delay may be determined from one or more event delays in a time-series window. A time-series event may be predicted by applying the average reverse event delay in conjunction with one or more weighted factors in a predictive model.
    Type: Application
    Filed: September 30, 2019
    Publication date: January 23, 2020
    Inventors: Charu C. Aggarwal, Lingtao Cao, Tan Hung M. Ng, Saket Sathe, Deepak S. Turaga
  • Publication number: 20180150757
    Abstract: Embodiments for accurate temporal event predictive modeling by a processor. An average reverse event delay may be determined from one or more event delays in a time-series window. A time-series event may be predicted by applying the average reverse event delay in conjunction with one or more weighted factors in a predictive model.
    Type: Application
    Filed: November 29, 2016
    Publication date: May 31, 2018
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Charu C. AGGARWAL, Lingtao CAO, Tan Hung M. NG, Saket SATHE, Deepak S. TURAGA