Patents by Inventor Kevin Mun Joun Tham

Kevin Mun Joun Tham 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).

  • Retention risk determiner
    Patent number: 10521748
    Abstract: A system for determining retention risk comprises a grouper, a filter, a normalizer, a feature vector extractor, a model builder, and a predictor. The grouper is for determining a set of time series of transactions where each is associated with one employee. The filter is for filtering the set of time series of transactions based on an employee transition characteristic to determine a subset of time series. The normalizer is for determining a model set of time series by normalizing the subset of time series. The feature vector extractor is for determining a set of feature vectors determined from a time series of the model set of time series. The model builder is for determining one or more models based at least in part on the set of feature vectors. The predictor is for predicting retention risk for a given employee using the one or more models.
    Type: Grant
    Filed: December 22, 2014
    Date of Patent: December 31, 2019
    Assignee: Workday, Inc.
    Inventors: Daniel Walter Beck, Mohammad Sabah, Adeyemi Ajao, James Fan, Parag Avinash Namjoshi, Kevin Mun Joun Tham, Vladimir Giverts
  • RETENTION RISK DETERMINER
    Publication number: 20160180264
    Abstract: A system for determining retention risk comprises a grouper, a filter, a normalizer, a feature vector extractor, a model builder, and a predictor. The grouper is for determining a set of time series of transactions where each is associated with one employee. The filter is for filtering the set of time series of transactions based on an employee transition characteristic to determine a subset of time series. The normalizer is for determining a model set of time series by normalizing the subset of time series. The feature vector extractor is for determining a set of feature vectors determined from a time series of the model set of time series. The model builder is for determining one or more models based at least in part on the set of feature vectors. The predictor is for predicting retention risk for a given employee using the one or more models.
    Type: Application
    Filed: December 22, 2014
    Publication date: June 23, 2016
    Inventors: Daniel Walter Beck, Mohammad Sabah, Adeyemi Ajao, James Fan, Parag Avinash Namjoshi, Kevin Mun Joun Tham, Vladimir Giverts