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1. 发明授权

US08386295B2 Checking the correctness of GIS data 有权
标题翻译：检查GIS数据的正确性
公开(公告)号：US08386295B2
公开(公告)日：2013-02-26
申请号：US12349096
申请日：2009-01-06
申请人： Honesty Young Cheng , Jin Dong , Ming Xie , Wen Jun Yin , Bin Zhang
发明人： Honesty Young Cheng , Jin Dong , Ming Xie , Wen Jun Yin , Bin Zhang
IPC分类号： G06Q10/00
CPC分类号： G06F17/30241 , G06F17/30371 , G06Q30/0205
摘要： A method and apparatus for checking the correctness of GIS data. The method includes the steps of: receiving GIS data; receiving business data of each branch; determining the geographic area to which each branch belongs, wherein the GIS data in the geographic area will be checked; and, checking whether the GIS data of the geographic area to which each branch belongs are correct based on the business data of each branch. The method and apparatus can automatically check geographic and demographic data of a given city or region.
摘要翻译：一种用于检查GIS数据正确性的方法和装置。该方法包括以下步骤：接收GIS数据; 接收每个分行的业务数据; 确定每个分支所属的地理区域，其中将检查地理区域中的GIS数据; 并且基于每个分支的业务数据来检查每个分支所属的地理区域的GIS数据是否正确。该方法和装置可以自动检查给定城市或地区的地理和人口统计数据。

2. 发明申请

US20090187447A1 CHECKING THE CORRECTNESS OF GIS DATA 有权
标题翻译：检查GIS数据的正确性
公开(公告)号：US20090187447A1
公开(公告)日：2009-07-23
申请号：US12349096
申请日：2009-01-06
申请人： Honesty Young Cheng , Jin Dong , Ming Xie , Wen Jun Yin , Bin Zhang
发明人： Honesty Young Cheng , Jin Dong , Ming Xie , Wen Jun Yin , Bin Zhang
IPC分类号： G06Q10/00
CPC分类号： G06F17/30241 , G06F17/30371 , G06Q30/0205
摘要： A method and apparatus for checking the correctness of GIS data. The method includes the steps of: receiving GIS data; receiving business data of each branch; determining the geographic area to which each branch belongs, wherein the GIS data in the geographic area will be checked; and, checking whether the GIS data of the geographic area to which each branch belongs are correct based on the business data of each branch. The method and apparatus can automatically check geographic and demographic data of a given city or region.
摘要翻译：一种用于检查GIS数据正确性的方法和装置。该方法包括以下步骤：接收GIS数据; 接收每个分行的业务数据; 确定每个分支所属的地理区域，其中将检查地理区域中的GIS数据; 并且基于每个分支的业务数据来检查每个分支所属的地理区域的GIS数据是否正确。该方法和装置可以自动检查给定城市或地区的地理和人口统计数据。

3. 发明授权

US08914372B2 Clustering customers 有权
标题翻译：聚集客户
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。

4. 发明申请

US20120254179A1 CLUSTERING CUSTOMERS 有权
标题翻译：聚集客户
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。

5. 发明授权

US08117138B2 Method and apparatus for location evaluation and site selection 有权
标题翻译：用于位置评估和选址的方法和装置
公开(公告)号：US08117138B2
公开(公告)日：2012-02-14
申请号：US12046256
申请日：2008-03-11
申请人： Chidanand Apte , Jin Dong , Ta-Hsin Li , Ming Xie , Wen Jun Yin , Bin Zhang , Ming H. Zhu
发明人： Chidanand Apte , Jin Dong , Ta-Hsin Li , Ming Xie , Wen Jun Yin , Bin Zhang , Ming H. Zhu
IPC分类号： G06F15/18 , G06N3/08
CPC分类号： G06N99/005
摘要： Method, apparatus and system for location evaluation and site selection, capable of effectively configuring the site network and evaluating the facility location by scientifically modeling and incorporating human knowledge are provided. In one aspect, geographic and demographic data associated with a plurality of locations and human knowledge comprising partial rating knowledge and pair-wise preference knowledge are used in a regression algorithm to construct a location evaluation model. The regression algorithm is further refined using active learning that identifies a plurality of pairs of locations to improve precision of the regression algorithm.
摘要翻译：提供了位置评估和场地选择的方法，装置和系统，能够通过科学建模和整合人类知识来有效地配置现场网络和评估设施位置。在一个方面，在回归算法中使用与多个位置相关联的地理和人口统计数据以及包括部分评估知识和成对偏好知识的人类知识来构建位置评估模型。使用主动学习进一步改进回归算法，该学习识别多对位置以提高回归算法的精度。

6. 发明授权

US08918397B2 Clustering customers 有权
标题翻译：聚集客户
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。

7. 发明授权

US08265984B2 Method and apparatus for unified optimization model for retail network configuration 失效
标题翻译：零售网络配置统一优化模型的方法和装置
公开(公告)号：US08265984B2
公开(公告)日：2012-09-11
申请号：US12117540
申请日：2008-05-08
申请人： Xin Xin Bai , Jin Dong , Ta-Hsin Li , Ming Xie , Wen Jun Yin , Bin Zhang , Cindy Q. Zhang
发明人： Xin Xin Bai , Jin Dong , Ta-Hsin Li , Ming Xie , Wen Jun Yin , Bin Zhang , Cindy Q. Zhang
IPC分类号： G06Q30/00
CPC分类号： G06Q10/04 , G06Q10/0637
摘要： A method and system for integrating multiple factors into a unified optimization model for retail network configuration, in one aspect, obtains input data for modeling store configuration. The input data may include demand of each merchandise category from each customer segment in each facility, geographic distribution of stores in an area, current revenue of stores, and physical cost of reconfiguring stores. A trade area is generated as a function of store location, store format, and store capacity. The method and system also generates trade area demand summation representing predicted total demand of all stores for all merchandise categories for all customer segments in the trade area, as a function of store location, store format, store capacity, merchandise category, and customer segment associated with the trade area. An objective function is constructed as a function of said trade area demand summation, current revenue of stores, and physical cost of reconfiguring stores.
摘要翻译：一种将多个因素整合到零售网络配置的统一优化模型中的方法和系统，一方面获取用于建模商店配置的输入数据。输入数据可以包括每个设施中的每个客户段的每个商品类别的需求，区域中的商店的地理分布，商店的当前收入以及重新配置商店的物理成本。作为商店位置，商店格式和商店容量的函数生成交易区域。该方法和系统还根据商店位置，商店格式，商店容量，商品类别和相关客户细分，生成代表业务区域中所有客户区域的所有商品类别的所有商店的预期总需求的交易区域需求总和与贸易区。构建目标函数作为所述贸易区域需求求和，商店的当前收入以及重新配置商店的实际成本的函数。

8. 发明申请

US20090281869A1 METHOD AND APPARATUS FOR INTEGRATED MULTIPLE FACTORS INTO A UNIFIED OPTIMIZATION MODEL FOR RETAIL NETWORK CONFIGURATION 失效
标题翻译：综合多元因子的方法和装置进入零售网络配置的统一优化模型
公开(公告)号：US20090281869A1
公开(公告)日：2009-11-12
申请号：US12117540
申请日：2008-05-08
申请人： Xin Xin Bai , Jin Dong , Ta-Hsin Li , Ming Xie , Wen Jun Yin , Bin Zhang , Cindy Q. Zhang
发明人： Xin Xin Bai , Jin Dong , Ta-Hsin Li , Ming Xie , Wen Jun Yin , Bin Zhang , Cindy Q. Zhang
IPC分类号： G06Q10/00
CPC分类号： G06Q10/04 , G06Q10/0637
摘要： A method and system for integrating multiple factors into a unified optimization model for retail network configuration, in one aspect, obtains input data for modeling store configuration. The input data may include demand of each merchandise category from each customer segment in each facility, geographic distribution of stores in an area, current revenue of stores, and physical cost of reconfiguring stores. A trade area is generated as a function of store location, store format, and store capacity. The method and system also generates trade area demand summation representing predicted total demand of all stores for all merchandise categories for all customer segments in the trade area, as a function of store location, store format, store capacity, merchandise category, and customer segment associated with the trade area. An objective function is constructed as a function of said trade area demand summation, current revenue of stores, and physical cost of reconfiguring stores.
摘要翻译：一种将多个因素整合到零售网络配置的统一优化模型中的方法和系统，一方面获取用于建模商店配置的输入数据。输入数据可以包括每个设施中的每个客户段的每个商品类别的需求，区域中的商店的地理分布，商店的当前收入以及重新配置商店的物理成本。作为商店位置，商店格式和商店容量的函数生成交易区域。该方法和系统还根据商店位置，商店格式，商店容量，商品类别和相关客户细分，生成代表业务区域中所有客户区域的所有商品类别的所有商店的预期总需求的交易区域需求总和与贸易区。构建目标函数作为所述贸易区域需求求和，商店的当前收入以及重新配置商店的实际成本的函数。

9. 发明申请

US20090234782A1 METHOD AND APPARATUS FOR LOCATION EVALUATION AND SITE SELECTION 有权
标题翻译：用于位置评估和选址的方法和装置
公开(公告)号：US20090234782A1
公开(公告)日：2009-09-17
申请号：US12046256
申请日：2008-03-11
申请人： Chidanand Apte , Jin Dong , Ta-Hsin Li , Ming Xie , Wen Jun Yin , Bin Zhang , Ming H. Zhu
发明人： Chidanand Apte , Jin Dong , Ta-Hsin Li , Ming Xie , Wen Jun Yin , Bin Zhang , Ming H. Zhu
IPC分类号： G06F15/18 , G06N5/00
CPC分类号： G06N99/005
摘要： Method, apparatus and system for location evaluation and site selection, capable of effectively configuring the site network and evaluating the facility location by scientifically modeling and incorporating human knowledge are provided. In one aspect, geographic and demographic data associated with a plurality of locations and human knowledge comprising partial rating knowledge and pair-wise preference knowledge are used in a regression algorithm to construct a location evaluation model. The regression algorithm is further refined using active learning that identifies a plurality of pairs of locations to improve precision of the regression algorithm.
摘要翻译：提供了位置评估和场地选择的方法，装置和系统，能够通过科学建模和整合人类知识来有效地配置现场网络和评估设施位置。在一个方面，在回归算法中使用与多个位置相关联的地理和人口统计数据以及包括部分评估知识和成对偏好知识的人类知识来构建位置评估模型。使用主动学习进一步改进回归算法，该学习识别多对位置以提高回归算法的精度。

10. 发明授权

US08620675B2 Method and apparatus for optimal service channel reconfiguration based on multi-agent simulation 失效
标题翻译：基于多代理仿真的最优服务信道重配置方法与装置
公开(公告)号：US08620675B2
公开(公告)日：2013-12-31
申请号：US12696763
申请日：2010-01-29
申请人： Jin Dong , Ta-Hsin Li , Jin Yan Shao , Li Xia , Ming Xie , Wen Jun Yin , Bin Zhang
发明人： Jin Dong , Ta-Hsin Li , Jin Yan Shao , Li Xia , Ming Xie , Wen Jun Yin , Bin Zhang
IPC分类号： G06Q10/00 , G06F9/45
CPC分类号： H04L12/28
摘要： A method, and system employing the method, for service channel reconfiguration at a service outlet includes generating service transaction data of a service outlet, generating queue management system (QMS) data of the service outlet, and generating cost and profit data for the service outlet. Data is extracted from the service transaction data and the QMS data relating to specified parameters including customer experience data, and customer demand data. The service transaction data and the QMS data is integrated with the cost and profit data providing a unified objective function. Stochastic service processes and customer behavior data are modeled. The unified objective function is evaluated using the stochastic service processes and customer behavior data model, and the service channel function of the service outlet is reconfigured using the unified objective function.
摘要翻译：一种在服务出口处进行服务信道重配置的方法和系统，包括生成服务插座的服务交易数据，生成服务插座的队列管理系统（QMS）数据，以及生成服务插座的成本和利润数据。从服务交易数据中提取数据，以及涉及包括客户体验数据和客户需求数据的指定参数的QMS数据。服务交易数据和QMS数据与成本和利润数据相结合，提供统一的目标函数。随机服务流程和客户行为数据被建模。使用随机服务流程和客户行为数据模型评估统一目标函数，并使用统一目标函数重新配置服务渠道的服务通道功能。

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