公开(公告)号：US08321251B2

公开(公告)日：2012-11-27

申请号：US13039914

申请日：2011-03-03

申请人： Agata Opalach ,  Scott W. Kurth ,  Kimberly S. Ostman ,  Colin Anil Puri

发明人： Agata Opalach ,  Scott W. Kurth ,  Kimberly S. Ostman ,  Colin Anil Puri

IPC分类号： G06Q40/00

CPC分类号： G06Q10/06 ,  G06Q10/0633

摘要： A method for implementing a closed-loop business process management lifecycle. The method comprising producing at least one to-be process model during a process analysis phase. Storing a copy of the at least one to-be process model. Automating the at least one to-be process model during a process automation phase. Producing data logs by applications implementing the automated to-be process models. Data mining the produced data logs during a process monitoring phase, to produce emerging to-be process models and updated to-be process models of automated to-be process models. Storing the emerging to-be process models and the updated to-be process models; and selecting ones of the stored emerging and updated to-be process models to provide to a new process analysis phase.

摘要翻译： 一种实现闭环业务流程管理生命周期的方法。 该方法包括在过程分析阶段期间产生至少一个待处理模型。 存储至少一个待处理模型的副本。 在过程自动化阶段自动化至少一个待处理模型。 通过实施自动化待处理模型的应用程序生成数据日志。 在流程监控阶段数据挖掘生成的数据日志，以生成新兴的流程模型和自动化流程模型的更新的流程模型。 存储新兴的待处理模型和更新的待处理模型; 并选择存储的新兴和更新的待处理模型以提供新的过程分析阶段。

公开(公告)号：US08700577B2

公开(公告)日：2014-04-15

申请号：US12779830

申请日：2010-05-13

申请人： Peter Zei-Chan Yeh ,  Colin Anil Puri

发明人： Peter Zei-Chan Yeh ,  Colin Anil Puri

IPC分类号： G06F7/00 ,  G06F17/30

CPC分类号： G06F17/3051 ,  G06F17/30539

摘要： Embodiments of the present invention solve the technical problem of identifying, collecting, and managing rules that improve poor quality data on enterprise initiatives ranging from data governance to business intelligence. In a specific embodiment of the present invention, a method is provided for producing data quality rules for a data set. A set of candidate conditional functional dependencies are generated comprised of candidate seeds of attributes that are within a certain degree of relatedness in the ontology of the data set. The candidate conditional functional dependencies are then applied to the data refined until they reach a quiescent state where they have not been refined even though the data they have been applied to has been stable. The resulting refined candidate conditional functional dependencies are the data enhancement rules for the data set and other related data sets. In another specific embodiment of the present invention, a computer system for the development of data quality rules is provided having a rule repository, a data quality rules discovery engine, and a user interface.

摘要翻译： 本发明的实施例解决了识别，收集和管理规则的技术问题，这些规则改善了企业举措的质量差的数据，从数据治理到商业智能。 在本发明的具体实施例中，提供了一种用于产生数据集的数据质量规则的方法。 产生一组候选条件函数依赖关系，其包括在数据集的本体中具有一定程度的相关性的属性的候选种子。 然后将候选条件功能依赖性应用于精细化的数据，直到它们达到静止状态，即使它们已被应用的数据已经稳定，它们尚未被精炼。 所得到的精确候选条件函数依赖关系是数据集和其他相关数据集的数据增强规则。 在本发明的另一具体实施例中，提供了一种用于开发数据质量规则的计算机系统，其具有规则库，数据质量规则发现引擎和用户界面。