Patents by Inventor Xiao Xian Bei

Xiao Xian Bei 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).

  • Detecting relevant facets by leveraging diagram identification, soical media and statistical analysis software
    Patent number: 10572557
    Abstract: An approach to finding facets of big data across multiple subject fields which have mutual relevance and provide useful information and insights. The approach is based on an analysis of diagrams associated with facets found in big data, such as that available on the internet, and the results of the analysis are further refined through a regional analysis and a search of social media data for events pertaining to the facets. Embodiments can further make use of statistical analysis software to provide statistical evidence related to the facets that can validate the results and findings of facet relevancy.
    Type: Grant
    Filed: November 4, 2015
    Date of Patent: February 25, 2020
    Assignee: International Business Machines Corporation
    Inventors: Xiao Xian Bei, Zhili Guo, Peng Hui Jiang, Fang Ming Li, Gang Zhan
  • Detecting relevant facets by leveraging diagram identification, social media and statistical analysis software
    Patent number: 10572560
    Abstract: An approach to finding facets of big data across multiple subject fields which have mutual relevance and provide useful information and insights. The approach is based on an analysis of diagrams associated with facets found in big data, such as that available on the internet, and the results of the analysis are further refined through a regional analysis and a search of social media data for events pertaining to the facets. Embodiments can further make use of statistical analysis software to provide statistical evidence related to the facets that can validate the results and findings of facet relevancy.
    Type: Grant
    Filed: June 19, 2017
    Date of Patent: February 25, 2020
    Assignee: International Business Machines Corporation
    Inventors: Xiao Xian Bei, Zhili Guo, Peng Hui Jiang, Fang Ming Li, Gang Zhan
  • DETECTING RELEVANT FACETS BY LEVERAGING DIAGRAM IDENTIFICATION, SOCIAL MEDIA AND STATISTICAL ANALYSIS SOFTWARE
    Publication number: 20170286554
    Abstract: An approach to finding facets of big data across multiple subject fields which have mutual relevance and provide useful information and insights. The approach is based on an analysis of diagrams associated with facets found in big data, such as that available on the internet, and the results of the analysis are further refined through a regional analysis and a search of social media data for events pertaining to the facets. Embodiments can further make use of statistical analysis software to provide statistical evidence related to the facets that can validate the results and findings of facet relevancy.
    Type: Application
    Filed: June 19, 2017
    Publication date: October 5, 2017
    Inventors: Xiao Xian Bei, Zhili Guo, Peng Hui Jiang, Fang Ming Li, Gang Zhan
  • DETECTING RELEVANT FACETS BY LEVERAGING DIAGRAM IDENTIFICATION, SOCIAL MEDIA AND STATISTICAL ANALYSIS SOFTWARE
    Publication number: 20170124201
    Abstract: An approach to finding facets of big data across multiple subject fields which have mutual relevance and provide useful information and insights. The approach is based on an analysis of diagrams associated with facets found in big data, such as that available on the internet, and the results of the analysis are further refined through a regional analysis and a search of social media data for events pertaining to the facets. Embodiments can further make use of statistical analysis software to provide statistical evidence related to the facets that can validate the results and findings of facet relevancy.
    Type: Application
    Filed: November 4, 2015
    Publication date: May 4, 2017
    Inventors: Xiao Xian Bei, Zhili Guo, Peng Hui Jiang, Fang Ming Li, Ghang Zhan