Patents by Inventor Mohammad H. HAJIAN

Mohammad H. HAJIAN 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).

  • System and method for segmenting customers with mixed attribute types using a targeted clustering approach
    Patent number: 11803868
    Abstract: Systems, methods, and other embodiments are disclosed that are configured to segment customers using mixed attribute types. In one embodiment, a computerized data structure is read. The computerized data structure has numerical demographic attribute data, categorical demographic attribute data, and target attribute data that is associated with customers and is stored in a computerized memory. The numerical demographic attribute data and the categorical demographic attribute data are converted to a same numerical scale, based at least in part on the target attribute data, to form congruent attribute data in a format that is compatible with performing a cluster analysis on the congruent attribute data. The cluster analysis is performed on the congruent attribute data to generate segmented customer data representing a segmentation of the customers. The segmented customer data may be used to control at least one enterprise function performed by a computerized management system.
    Type: Grant
    Filed: May 4, 2021
    Date of Patent: October 31, 2023
    Assignee: Oracle International Corporation
    Inventor: Mohammad H. Hajian
  • SYSTEM AND METHOD FOR SEGMENTING CUSTOMERS WITH MIXED ATTRIBUTE TYPES USING A TARGETED CLUSTERING APPROACH
    Publication number: 20210256546
    Abstract: Systems, methods, and other embodiments are disclosed that are configured to segment customers using mixed attribute types. In one embodiment, a computerized data structure is read. The computerized data structure has numerical demographic attribute data, categorical demographic attribute data, and target attribute data that is associated with customers and is stored in a computerized memory. The numerical demographic attribute data and the categorical demographic attribute data are converted to a same numerical scale, based at least in part on the target attribute data, to form congruent attribute data in a format that is compatible with performing a cluster analysis on the congruent attribute data. The cluster analysis is performed on the congruent attribute data to generate segmented customer data representing a segmentation of the customers. The segmented customer data may be used to control at least one enterprise function performed by a computerized management system.
    Type: Application
    Filed: May 4, 2021
    Publication date: August 19, 2021
    Inventor: Mohammad H. HAJIAN
  • SYSTEM AND METHOD FOR SEGMENTING CUSTOMERS WITH MIXED ATTRIBUTE TYPES USING A TARGETED CLUSTERING APPROACH
    Publication number: 20170169447
    Abstract: Systems, methods, and other embodiments are disclosed that are configured to segment customers using mixed attribute types. In one embodiment, a computerized data structure is read. The computerized data structure has numerical demographic attribute data, categorical demographic attribute data, and target attribute data that is associated with customers and is stored in a computerized memory. The numerical demographic attribute data and the categorical demographic attribute data are converted to a same numerical scale, based at least in part on the target attribute data, to form congruent attribute data in a format that is compatible with performing a cluster analysis on the congruent attribute data. The cluster analysis is performed on the congruent attribute data to generate segmented customer data representing a segmentation of the customers. The segmented customer data may be used to control at least one enterprise function performed by a computerized management system.
    Type: Application
    Filed: December 9, 2015
    Publication date: June 15, 2017
    Inventor: Mohammad H. HAJIAN