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    • 4. 发明申请
    • PREDICTING FINANCIAL STATUS OF A PROJECT
    • 预测项目财务状况
    • US20120095800A1
    • 2012-04-19
    • US12905469
    • 2010-10-15
    • SAEED BAGHERIDOUGLAS C. BUNCHTHERESA E. ELLKRISHNA C. RATAKONDAKATRINA M. REFFETTROSE M. WILLIAMS
    • SAEED BAGHERIDOUGLAS C. BUNCHTHERESA E. ELLKRISHNA C. RATAKONDAKATRINA M. REFFETTROSE M. WILLIAMS
    • G06Q10/00
    • G06Q10/06313
    • 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.
    • 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。
    • 5. 发明申请
    • TOOL FOR MANAGER ASSISTANCE
    • 管理人员协助工具
    • US20120284078A1
    • 2012-11-08
    • US13102203
    • 2011-05-06
    • SHIVALI AGARWALSAEED BAGHERIJARIR K. CHAARALI PARANDEHGHEIBIKRISHNA C. RATAKONDABIKRAM SENGUPTA
    • SHIVALI AGARWALSAEED BAGHERIJARIR K. CHAARALI PARANDEHGHEIBIKRISHNA C. RATAKONDABIKRAM SENGUPTA
    • G06Q10/00
    • G06Q10/04G06Q10/06
    • A computer implemented method, system, and/or computer program product generate an optimal training policy and an optimal promotion policy to accommodate an upcoming project. Required new job positions are identified for an upcoming project. A skillset matrix, which describes a current skill level of each worker in a work unit, and a promotion matrix, which describes historical evaluations of how well each worker achieved predefined goals of past projects, are generated. The skillset matrix is utilized to create an optimal training policy that identifies which workers are in need of additional training in order to qualify for one or more of the identified new job positions, and the promotion matrix is utilized create an optimal promotion policy that identifies which workers will be candidates for being promoted into one or more of the identified said new job positions.
    • 计算机实现的方法,系统和/或计算机程序产品产生最佳培训政策和最佳促销政策以适应即将到来的项目。 为即将到来的项目确定所需的新工作职位。 描述了工作单位中每个工人的当前技能水平的技能组矩阵,以及描述了每个员工实现过去项目的预定目标的历史评估的晋升矩阵。 技能组矩阵用于创建最佳的培训政策,以确定哪些工人需要额外的培训,以符合一个或多个所识别的新工作职位,并且利用促销矩阵创建一个最佳促销政策,以确定哪个 工作人员将被提拔为一个或多个已确定的新职位的候选人。