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1. 发明申请

US20120095800A1 PREDICTING FINANCIAL STATUS OF A PROJECT 审中-公开
标题翻译：预测项目财务状况
公开(公告)号：US20120095800A1
公开(公告)日：2012-04-19
申请号：US12905469
申请日：2010-10-15
申请人： SAEED BAGHERI , DOUGLAS C. BUNCH , THERESA E. ELL , KRISHNA C. RATAKONDA , KATRINA M. REFFETT , ROSE M. WILLIAMS
发明人： SAEED BAGHERI , DOUGLAS C. BUNCH , THERESA E. ELL , KRISHNA C. RATAKONDA , KATRINA M. REFFETT , ROSE M. WILLIAMS
IPC分类号： G06Q10/00
CPC分类号： G06Q10/06313
摘要： A computer implemented method, system, and/or computer program product predicts the profitability of a current project. Historical data from the current project represents profit data points at predetermined intervals of time during the current project. If a linear regression model of the historical data does not adequately describe the historical data, then a polynomial regression model to describe the historical data is generated. If the polynomial model does not adequately describe the historical data, then another project that is similar to the current project is located. This other project has its own set of historical data. If the historical data from the other project fits the polynomial regression model created from the historical data of the current project, then the polynomial regression model is trusted to accurately predict the profitability of the current project, even though the current project's historical data did not adequately fit the polynomial regression model.
摘要翻译：计算机实现的方法，系统和/或计算机程序产品预测了当前项目的盈利能力。当前项目的历史数据在当前项目中以预定的时间间隔表示利润数据点。如果历史数据的线性回归模型没有充分描述历史数据，则生成描述历史数据的多项式回归模型。如果多项式模型没有充分描述历史数据，则定位与当前项目类似的另一个项目。这个另外一个项目有自己的一套历史数据。如果其他项目的历史数据符合从当前项目历史数据创建的多项式回归模型，则可信赖多项式回归模型，以准确预测当前项目的盈利能力，即使当前项目的历史数据没有充分拟合多项式回归模型。

2. 发明申请

US20120136694A1 TRANSITION PHASE TROUBLE DETECTION IN SERVICES DELIVERY MANAGEMENT 失效
标题翻译：服务交付管理中的过渡阶段故障检测
公开(公告)号：US20120136694A1
公开(公告)日：2012-05-31
申请号：US12955475
申请日：2010-11-29
申请人： SAEED BAGHERI , DOUGLAS C. BUNCH , THERESA E. ELL , KRISHNA C. RATAKONDA , KATRINA M. REFFETT , ROSE M. WILLIAMS
发明人： SAEED BAGHERI , DOUGLAS C. BUNCH , THERESA E. ELL , KRISHNA C. RATAKONDA , KATRINA M. REFFETT , ROSE M. WILLIAMS
IPC分类号： G06Q10/00
CPC分类号： G06Q10/06313 , G06Q10/00 , G06Q10/0635 , G06Q10/06393 , G06Q10/06395 , G06Q10/103
摘要： A method, system, and/or computer program product predicts trouble during a transition phase of a current project. Past operational data and past trouble data for past healthy projects and past troubled projects before transition phases is collected. A trouble correlation between the past operational data and the past trouble data is then determined. A set of key metrics that describes a current health of a current project before transitioning from a current phase to a future phase is defined, and values of the set of key metrics for the current project are identified. Identified values of the set of key metrics for the current project are compared to the past operational data for past healthy and troubled projects in order to generate a pattern comparison. This pattern comparison, along with the trouble correlation, is used to generate a predicted quality of transition for the current project.
摘要翻译：方法，系统和/或计算机程序产品预测在当前项目的过渡阶段的麻烦。过去的健康项目和过去困难的项目的过去业务数据和过去的故障数据，在过渡阶段收集之前。然后确定过去操作数据与过去故障数据之间的故障相关性。定义了一组关键指标，描述当前项目从当前阶段转移到未来阶段的当前运行状况，并确定当前项目的关键指标集合的值。将当前项目的一组关键指标的确定值与过去健康和困扰的项目的过去业务数据进行比较，以生成模式比较。这种模式比较以及故障相关性用于生成当前项目的预测转换质量。

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