公开(公告)号：US11640446B2

公开(公告)日：2023-05-02

申请号：US17407181

申请日：2021-08-19

申请人： Medidata Solutions, Inc.

发明人： Mandis Beigi ,  Jacob Aptekar ,  Afrah Shafquat ,  Jason Mezey

IPC分类号： G06F21/62 ,  G06F16/27 ,  G06F18/214 ,  G06F18/2133 ,  G06F18/2135 ,  G06F18/21 ,  G06F18/2137

摘要： A method for generating a synthetic dataset from an original dataset includes encoding categorical features of the original dataset, embedding the encoded dataset in a low-dimensional space, selecting a seed record from the embedded dataset, identifying a plurality of nearest neighbor records to the seed record, generating a new record by randomly selecting features from the plurality of nearest neighbor records, and concatenating the new record into the synthetic dataset. For a synthetic dataset that contains N records, which may be the same as or different from the number of records in the original dataset, the selecting, identifying, generating, and concatenating operations operate a total of N times on the records in the embedded dataset.

公开(公告)号：US20230060848A1

公开(公告)日：2023-03-02

申请号：US17407181

申请日：2021-08-19

申请人： Medidata Solutions, Inc.

发明人： Mandis Beigi ,  Jacob Aptekar ,  Afrah Shafquat ,  Jason Mezey

IPC分类号： G06K9/62

摘要： A method for generating a synthetic dataset from an original dataset includes encoding categorical features of the original dataset, embedding the encoded dataset in a low-dimensional space, selecting a seed record from the embedded dataset, identifying a plurality of nearest neighbor records to the seed record, generating a new record by randomly selecting features from the plurality of nearest neighbor records, and concatenating the new record into the synthetic dataset. For a synthetic dataset that contains N records, which may be the same as or different from the number of records in the original dataset, the selecting, identifying, generating, and concatenating operations operate a total of N times on the records in the embedded dataset.