公开(公告)号：US20180300289A1

公开(公告)日：2018-10-18

申请号：US16013433

申请日：2018-06-20

Applicant: Huawei Technologies Co., Ltd.

Inventor： Nan Hu ,  Lifeng Xu ,  Guanlv Zhang ,  Yong Zhong

IPC: G06F17/18 ,  G06F17/16 ,  G06F17/17 ,  G06F17/30

Abstract: An information determining method and apparatus are provided. The method includes: estimating an association relationship between a feature vector and to-be-predicted attribute information of a unlabeled sample; decomposing the association relationship into N sub-association relationships in a one-to-one correspondence to N fields, and a feature vector of each sample into feature subvectors in a one-to-one correspondence to the N fields; obtaining a first value obtained by substituting a feature subvector of each labeled sample into a corresponding sub-association relationship; calculating, based on public attribute information, a sum of first values obtained in the N fields for a same user to obtain estimated attribute information; determining the association relationship based on estimated attribute information of all labeled samples and known attribute information corresponding to the estimated attribute information; and determining the to-be-predicted attribute information based on the determined association relationship and the feature vector of the to-be-labeled sample.

公开(公告)号：US20160371792A1

公开(公告)日：2016-12-22

申请号：US15251000

申请日：2016-08-30

Applicant: Huawei Technologies Co., Ltd.

Inventor： Jun Luo ,  Liangwei Wang ,  Nan Hu

IPC: G06Q50/00 ,  G06Q30/02

CPC classification number: G06Q50/01 ,  G06Q30/0201 ,  G06Q40/00

Abstract: A method and an apparatus for mining a social relationship based on financial data is presented. The method for mining a social relationship based on financial data in the present disclosure includes: acquiring financial transaction data of a client user; determining a financial transaction network according to the financial transaction data; determining a network topology attribute of the client user and a non-network topology attribute of the client user according to the financial transaction network; and determining, according to a topology attribute of the financial transaction network and the non-network topology attribute, a social relationship corresponding to the client user.

Abstract translation: 提出了一种基于财务数据挖掘社会关系的方法和装置。 本公开的基于财务数据挖掘社会关系的方法包括：获取客户用户的金融交易数据; 根据金融交易数据确定金融交易网络; 根据金融交易网络确定客户端用户的网络拓扑属性和客户端用户的非网络拓扑属性; 以及根据所述金融交易网络的拓扑属性和所述非网络拓扑属性来确定与所述客户端用户对应的社会关系。