Patents by Inventor Jacqueline Giang Huong Morris

Jacqueline Giang Huong Morris 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).

  • Clustering customers
    Patent number: 8918397
    Abstract: A computer implemented method for clustering customers includes receiving a source set of customer records, wherein each customer record represents one customer, and each customer record includes at least one data attribute, and each data attribute has an attribute value; pre-processing the source set of customer records to generate a pre-processed set of customer records; executing a clustering algorithm on the pre-processed set of customer records to group the pre-processed set of customer records into clusters of a pre-defined number. The pre-processing comprises: determining the type of a customer in the source set of customer records; using a type attribute value to indicate the type of the customer in its customer record; normalizing data attribute values and type attribute values; weighting to the data attribute values and the type attribute values respectively to obtain weighted attribute values of the data attribute and weighted attribute values of the type attribute.
    Type: Grant
    Filed: July 30, 2012
    Date of Patent: December 23, 2014
    Assignee: International Business Machines Corporation
    Inventors: Heng Cao, Jin Dong, Jacqueline Giang Huong Morris, Ming Xie, Wen Jun Yin, Bin Zhang
  • Clustering customers
    Patent number: 8914372
    Abstract: A computer implemented method for clustering customers includes receiving a source set of customer records, wherein each customer record represents one customer, and each customer record includes at least one data attribute, and each data attribute has an attribute value; pre-processing the source set of customer records to generate a pre-processed set of customer records; executing a clustering algorithm on the pre-processed set of customer records to group the pre-processed set of customer records into clusters of a pre-defined number. The pre-processing comprises: determining the type of a customer in the source set of customer records; using a type attribute value to indicate the type of the customer in its customer record; normalizing data attribute values and type attribute values; weighting to the data attribute values and the type attribute values respectively to obtain weighted attribute values of the data attribute and weighted attribute values of the tune attribute.
    Type: Grant
    Filed: March 28, 2012
    Date of Patent: December 16, 2014
    Assignee: International Business Machines Corporation
    Inventors: Heng Cao, Jin Dong, Jacqueline Giang Huong Morris, Ming Xie, Wen Jun Yin, Bin Zhang
  • CLUSTERING CUSTOMERS
    Publication number: 20120290580
    Abstract: A computer implemented method for clustering customers includes receiving a source set of customer records, wherein each customer record represents one customer, and each customer record includes at least one data attribute, and each data attribute has an attribute value; pre-processing the source set of customer records to generate a pre-processed set of customer records; executing a clustering algorithm on the pre-processed set of customer records to group the pre-processed set of customer records into clusters of a pre-defined number. The pre-processing comprises: determining the type of a customer in the source set of customer records; using a type attribute value to indicate the type of the customer in its customer record; normalizing data attribute values and type attribute values; weighting to the data attribute values and the type attribute values respectively to obtain weighted attribute values of the data attribute and weighted attribute values of the type attribute.
    Type: Application
    Filed: July 30, 2012
    Publication date: November 15, 2012
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Heng Cao, Jin Dong, Jacqueline Giang Huong Morris, Ming Xie, Wen Jun Yin, Bin Zhang
  • CLUSTERING CUSTOMERS
    Publication number: 20120254179
    Abstract: A computer implemented method for clustering customers includes receiving a source set of customer records, wherein each customer record represents one customer, and each customer record includes at least one data attribute, and each data attribute has an attribute value; pre-processing the source set of customer records to generate a pre-processed set of customer records; executing a clustering algorithm on the pre-processed set of customer records to group the pre-processed set of customer records into clusters of a pre-defined number. The pre-processing comprises: determining the type of a customer in the source set of customer records; using a type attribute value to indicate the type of the customer in its customer record; normalizing data attribute values and type attribute values; weighting to the data attribute values and the type attribute values respectively to obtain weighted attribute values of the data attribute and weighted attribute values of the tune attribute.
    Type: Application
    Filed: March 28, 2012
    Publication date: October 4, 2012
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Heng Cao, Jin Dong, Jacqueline Giang Huong Morris, Ming Xie, Wen Jun Yin, Bin Zhang