公开(公告)号：US20120290580A1

公开(公告)日：2012-11-15

申请号：US13561468

申请日：2012-07-30

申请人： Heng Cao ,  Jin Dong ,  Jacqueline Giang Huong Morris ,  Ming Xie ,  Wen Jun Yin ,  Bin Zhang

发明人： Heng Cao ,  Jin Dong ,  Jacqueline Giang Huong Morris ,  Ming Xie ,  Wen Jun Yin ,  Bin Zhang

IPC分类号： G06F17/30

CPC分类号： G06Q30/02

摘要： 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.

摘要翻译： 用于聚类客户的计算机实现方法包括接收客户记录的源集合，其中每个客户记录表示一个客户，并且每个客户记录包括至少一个数据属性，并且每个数据属性具有属性值; 预处理客户记录的源集合以生成预处理的一组客户记录; 在预处理的客户记录集上执行聚类算法，以将预处理的客户记录集合分组成预定义数量的集群。 预处理包括：确定客户记录源组中客户的类型; 使用类型属性值来指示客户记录中客户的类型; 归一化数据属性值和类型属性值; 分别对数据属性值和类型属性值进行加权，以获得类型属性的数据属性和加权属性值的加权属性值。

公开(公告)号：US08918397B2

公开(公告)日：2014-12-23

申请号：US13561468

申请日：2012-07-30

申请人： Heng Cao ,  Jin Dong ,  Jacqueline Giang Huong Morris ,  Ming Xie ,  Wen Jun Yin ,  Bin Zhang

发明人： Heng Cao ,  Jin Dong ,  Jacqueline Giang Huong Morris ,  Ming Xie ,  Wen Jun Yin ,  Bin Zhang

IPC分类号： G06F17/30 ,  G06Q30/02

CPC分类号： G06Q30/02

摘要： 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.

摘要翻译： 用于聚类客户的计算机实现方法包括接收客户记录的源集合，其中每个客户记录表示一个客户，并且每个客户记录包括至少一个数据属性，并且每个数据属性具有属性值; 预处理客户记录的源集合以生成预处理的一组客户记录; 在预处理的客户记录集上执行聚类算法，以将预处理的客户记录集合分组成预定义数量的集群。 预处理包括：确定客户记录源组中客户的类型; 使用类型属性值来指示客户记录中客户的类型; 归一化数据属性值和类型属性值; 分别对数据属性值和类型属性值进行加权，以获得类型属性的数据属性和加权属性值的加权属性值。

公开(公告)号：US08914372B2

公开(公告)日：2014-12-16

申请号：US13432361

申请日：2012-03-28

申请人： Heng Cao ,  Jin Dong ,  Jacqueline Giang Huong Morris ,  Ming Xie ,  Wen Jun Yin ,  Bin Zhang

发明人： Heng Cao ,  Jin Dong ,  Jacqueline Giang Huong Morris ,  Ming Xie ,  Wen Jun Yin ,  Bin Zhang

IPC分类号： G06F17/30 ,  G06Q30/02

CPC分类号： G06Q30/02

摘要： 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.

摘要翻译： 用于聚类客户的计算机实现方法包括接收客户记录的源集合，其中每个客户记录表示一个客户，并且每个客户记录包括至少一个数据属性，并且每个数据属性具有属性值; 预处理客户记录的源集合以生成预处理的一组客户记录; 在预处理的客户记录集上执行聚类算法，以将预处理的客户记录集合分组成预定义数量的集群。 预处理包括：确定客户记录源组中客户的类型; 使用类型属性值来指示客户记录中客户的类型; 归一化数据属性值和类型属性值; 分别对数据属性值和类型属性值进行加权，以获得数据属性的加权属性值和调整属性的加权属性值。

公开(公告)号：US20120254179A1

公开(公告)日：2012-10-04

申请号：US13432361

申请日：2012-03-28

申请人： Heng Cao ,  Jin Dong ,  Jacqueline Giang Huong Morris ,  Ming Xie ,  Wen Jun Yin ,  Bin Zhang

发明人： Heng Cao ,  Jin Dong ,  Jacqueline Giang Huong Morris ,  Ming Xie ,  Wen Jun Yin ,  Bin Zhang

IPC分类号： G06F17/30

CPC分类号： G06Q30/02

摘要： 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.

摘要翻译： 用于聚类客户的计算机实现方法包括接收客户记录的源集合，其中每个客户记录表示一个客户，并且每个客户记录包括至少一个数据属性，并且每个数据属性具有属性值; 预处理客户记录的源集合以生成预处理的一组客户记录; 在预处理的客户记录集上执行聚类算法，以将预处理的客户记录集合分组成预定义数量的集群。 预处理包括：确定客户记录源组中客户的类型; 使用类型属性值来指示客户记录中客户的类型; 归一化数据属性值和类型属性值; 分别对数据属性值和类型属性值进行加权，以获得数据属性的加权属性值和调整属性的加权属性值。