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    • 2. 发明授权
    • Loading data from a vertical database table into a horizontal database table
    • 将数据从垂直数据库表加载到水平数据库表中
    • US07761455B2
    • 2010-07-20
    • US10814715
    • 2004-03-31
    • Eric Y. ShanFabio CasatiMaria Guadalupe CastellanosMing-Chien Shan
    • Eric Y. ShanFabio CasatiMaria Guadalupe CastellanosMing-Chien Shan
    • G06F7/00
    • G06F17/30569
    • Various approaches are disclosed for loading data from a vertical database table into a horizontal database table. In one embodiment, a number of rows in a vertical database table and a number of columns in a horizontal database table are determined. Entries in a first column of the vertical table contain object identifiers, entries in a second column contain attribute names corresponding to the object identifiers, and entries in a third column contain attribute values corresponding to the attribute names. The horizontal table includes a column for the object identifiers and respective attribute columns for the attributes names. One of a plurality of methods is selected and used for reading data from the vertical database table and writing data to the horizontal database table based in part on the number of rows in the vertical database table and the number of columns in the horizontal database table.
    • 公开了用于将数据从垂直数据库表加载到水平数据库表中的各种方法。 在一个实施例中,确定垂直数据库表中的行数和水平数据库表中的列数。 垂直表的第一列中的条目包含对象标识符,第二列中的条目包含与对象标识符对应的属性名称,第三列中的条目包含与属性名称对应的属性值。 水平表包括用于对象标识符的列和属性名称的相应属性列。 多个方法之一被选择并用于从垂直数据库表读取数据并且部分地基于垂直数据库表中的行数和水平数据库表中的列数将数据写入水平数据库表。
    • 4. 发明申请
    • Loading data from a vertical database table into a horizontal database table
    • 将数据从垂直数据库表加载到水平数据库表中
    • US20050223032A1
    • 2005-10-06
    • US10814715
    • 2004-03-31
    • Eric ShanFabio CasatiMaria Guadalupe CastellanosMing-Chien Shan
    • Eric ShanFabio CasatiMaria Guadalupe CastellanosMing-Chien Shan
    • G06F17/00G06F17/30
    • G06F17/30569
    • Various approaches are disclosed for loading data from a vertical database table into a horizontal database table. In one embodiment, a number of rows in a vertical database table and a number of columns in a horizontal database table are determined. Entries in a first column of the vertical table contain object identifiers, entries in a second column contain attribute names corresponding to the object identifiers, and entries in a third column contain attribute values corresponding to the attribute names. The horizontal table includes a column for the object identifiers and respective attribute columns for the attributes names. One of a plurality of methods is selected and used for reading data from the vertical database table and writing data to the horizontal database table based in part on the number of rows in the vertical database table and the number of columns in the horizontal database table.
    • 公开了用于将数据从垂直数据库表加载到水平数据库表中的各种方法。 在一个实施例中,确定垂直数据库表中的行数和水平数据库表中的列数。 垂直表的第一列中的条目包含对象标识符,第二列中的条目包含与对象标识符对应的属性名称,第三列中的条目包含与属性名称对应的属性值。 水平表包括用于对象标识符的列和属性名称的相应属性列。 多个方法之一被选择并用于从垂直数据库表读取数据并且部分地基于垂直数据库表中的行数和水平数据库表中的列数将数据写入水平数据库表。
    • 9. 发明授权
    • Business processes based on a predictive model
    • 基于预测模型的业务流程
    • US07565304B2
    • 2009-07-21
    • US10176505
    • 2002-06-21
    • Fabio CasatiMing-Chien ShanUmeshwar Dayal
    • Fabio CasatiMing-Chien ShanUmeshwar Dayal
    • G06F17/50G06F7/00
    • G06Q30/06G06Q10/06312G06Q10/0633G06Q10/06375G06Q10/06395G06Q10/067Y10S707/99931
    • Systems and methods of improving business processes are described. These systems and methods enable service providers to improve the quality of services delivered to customers and employees by improving service execution through the optimal selection of resources (e.g., internal resources or external resources, or both) that are invoked to execute the delivered services. In one aspect, process execution data is accessed. Business process instances are classified in accordance with a quality taxonomy. A predictive model including a set of rules for scoring business process outcomes at different stages of the business process is built based upon the classified business process instances. In another aspect, process entities to be invoked at stages of an active business process instance are selected based upon the predictive model. In another aspect, a user is prompted to define a quality taxonomy for classifying outcomes of instances of a business process.
    • 描述了改进业务流程的系统和方法。 这些系统和方法使得服务提供商能够通过调用执行所传递的服务的资源(例如,内部资源或外部资源,或两者)的最佳选择来改进服务执行来提高递送给客户和雇员的服务的质量。 在一个方面,访问过程执行数据。 业务流程实例根据质量分类法进行分类。 包括一组在业务流程不同阶段评估业务流程结果的规则的预测模型是基于分类业务流程实例构建的。 在另一方面,基于预测模型来选择要在活动业务流程实例的阶段被调用的流程实体。 另一方面,提示用户定义用于对业务流程实例的结果进行分类的质量分类法。
    • 10. 发明申请
    • Management of service level agreements for composite Web services
    • 组合Web服务的服务级别协议管理
    • US20050172027A1
    • 2005-08-04
    • US10770288
    • 2004-02-02
    • Maria CastellanosFabio CasatiMing-Chien Shan
    • Maria CastellanosFabio CasatiMing-Chien Shan
    • G06F7/00G06F15/16G06F15/177G06F17/00H04L12/24
    • H04L41/5003H04L41/5006H04L41/5009
    • Method and apparatus are disclosed for managing at least one service level agreement (SLA) associated with at least one composite Web service. For each completed process instance, the status data logged in executing the process instance is analyzed to determine whether the process instance satisfied the SLA. The violation/satisfaction data and the logged status data are then used to construct an explanatory decision tree. Each node in the explanatory decision tree represents at least one attribute of the process instances, each branch from a node represents a subset of attribute values of the attribute of the node, and each leaf node indicates a probability value that process instances having attribute values consistent with the attribute values in nodes on a path to the leaf node fail to satisfy the SLA. Data that represents the explanatory decision tree may then be output to explain past violations of SLAs. Other embodiments generate a predictive decision tree that may be used in predicting whether active process instances will violate a SLAs.
    • 公开了用于管理与至少一个复合Web服务相关联的至少一个服务级别协议(SLA)的方法和装置。 对于每个完成的流程实例,分析执行流程实例时记录的状态数据,以确定流程实例是否满足SLA。 然后使用违规/满意度数据和记录的状态数据构建解释性决策树。 解释性决策树中的每个节点表示流程实例的至少一个属性,来自一个节点的每个分支表示该节点的属性的属性值的子集,并且每个叶节点指示一个概率值,该概率值处理具有属性值一致的实例 在叶节点的路径上的节点中的属性值不能满足SLA。 然后可以输出表示说明性决策树的数据来解释过去违反SLA的情况。 其他实施例产生可用于预测活动过程实例是否将违反SLA的预测决策树。