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    • 2. 发明授权
    • Project risk assessment
    • 项目风险评估
    • US07318038B2
    • 2008-01-08
    • US10194698
    • 2002-07-11
    • Abderrahim Labbi
    • Abderrahim Labbi
    • G06Q10/00
    • G06Q10/10G06Q10/06313G06Q40/08
    • This invention provides techniques, systems and apparatus for assessing risk associated with a project or a portfolio of projects. An example embodiment having a processor and a memory, includes storing operational values which corresponds to a different project. Each operational value is representative of a project operational parameter. A risk vector is generated for each project based on the set of operational parameters. The risk vectors are partitioned into groups of similar risk vectors having a set of membership rules. Probabilities that a new project belongs to respective groups are generated. A risk value indicative of the risk associated with the new project is generated based on the probabilities generated. In some embodiments, the technique also assesses portfolio risk and utilizes an optimization algorithm to estimate acceptable or desirable margins to charge for each project in a portfolio of projects.
    • 本发明提供用于评估与项目或项目组合相关联的风险的技术,系统和装置。 具有处理器和存储器的示例性实施例包括存储对应于不同项目的操作值。 每个操作值代表项目操作参数。 基于一组操作参数为每个项目生成风险向量。 将风险向量划分为具有一组成员规则的类似风险向量的组。 生成新项目属于各自组的概率。 根据生成的概率生成指示与新项目相关的风险的风险值。 在一些实施例中,该技术还评估投资组合风险,并且使用优化算法来估计对项目组合中的每个项目收取的可接受或期望的利润。
    • 3. 发明申请
    • COMPUTER-IMPLEMENTED VISUALIZATION METHOD
    • 计算机实现可视化方法
    • US20110097001A1
    • 2011-04-28
    • US12907069
    • 2010-10-19
    • Abderrahim LabbiMichail Vlachos
    • Abderrahim LabbiMichail Vlachos
    • G06K9/62
    • G06K9/6219G06K9/6253
    • A method, system and computer product for visualizing affinities between objects. The method includes the steps of: forming a representation of a minimum spanning tree where the minimum spanning tree connects the plurality of objects based on a pairwise distance between the plurality of objects; forming a hierarchical cluster of the plurality of objects where the hierarchical cluster includes a level; agglomerating the plurality of objects based on the pairwise distance; displaying a view of the representation of the minimum spanning tree in a graphical user interface; receiving a user selection of a parameter containing a hierarchical level; and identifying, in the view, a target cluster that corresponds to the hierarchical level; where at least one of the steps is carried out using a computer device so that affinities between the plurality of objects are visualized.
    • 一种用于可视化对象之间的亲和度的方法,系统和计算机产品。 该方法包括以下步骤:基于多个对象之间的成对距离,形成最小生成树的连接多个对象的最小生成树的表示; 形成所述多个对象的分级集群,其中所述分层集群包括层次; 基于成对距离聚集多个物体; 在图形用户界面中显示最小生成树的表示的视图; 接收包含层次级别的参数的用户选择; 并且在视图中识别与分层级相对应的目标簇; 其中使用计算机设备执行至少一个步骤,使得可以可视化多个对象之间的亲和度。
    • 4. 发明授权
    • Computer-implemented visualization method
    • 计算机实现的可视化方法
    • US08437559B2
    • 2013-05-07
    • US12907069
    • 2010-10-19
    • Abderrahim LabbiMichail Vlachos
    • Abderrahim LabbiMichail Vlachos
    • G06K9/62G06K9/68
    • G06K9/6219G06K9/6253
    • A method, system and computer product for visualizing affinities between objects. The method includes the steps of: forming a representation of a minimum spanning tree where the minimum spanning tree connects the plurality of objects based on a pairwise distance between the plurality of objects; forming a hierarchical cluster of the plurality of objects where the hierarchical cluster includes a level; agglomerating the plurality of objects based on the pairwise distance; displaying a view of the representation of the minimum spanning tree in a graphical user interface; receiving a user selection of a parameter containing a hierarchical level; and identifying, in the view, a target cluster that corresponds to the hierarchical level; where at least one of the steps is carried out using a computer device so that affinities between the plurality of objects are visualized.
    • 一种用于可视化对象之间的亲和度的方法,系统和计算机产品。 该方法包括以下步骤:基于多个对象之间的成对距离,形成最小生成树的连接多个对象的最小生成树的表示; 形成所述多个对象的分级集群,其中所述分层集群包括层次; 基于成对距离聚集多个物体; 在图形用户界面中显示最小生成树的表示的视图; 接收包含层次级别的参数的用户选择; 并且在视图中识别与分层级相对应的目标簇; 其中使用计算机设备执行至少一个步骤,使得可以可视化多个对象之间的亲和度。
    • 6. 发明授权
    • Cost-based method for dynamically pricing and prioritizing an e-mail
    • 基于成本的方法来动态定价和确定电子邮件的优先级
    • US07386520B2
    • 2008-06-10
    • US10646377
    • 2003-08-22
    • Walter HehlAbderrahim LabbiMark Lutwyche
    • Walter HehlAbderrahim LabbiMark Lutwyche
    • G06F99/00
    • G06Q10/107G06Q20/10G06Q30/0283
    • Method for dynamically allocating a cost to an e-mail that a first user of a transmission network such as the Internet network or an Intranet network who is a member of a group, wants to forward to a second user of the transmission network who is also a member of the group. The method comprising the steps of forwarding by the first user the e-mail to a market engine in charge of allocating a cost to the e-mail, determining by the market engine the cost of the e-mail based upon intrinsic and extrinsic criteria, submitting the cost of the e-mail to the first user for agreement, forwarding by the market engine the e-mail to the second user, and updating a credit account associated with the first user.
    • 为电子邮件动态分配费用的方法,即作为组成员的诸如因特网或诸如互联网或内联网的传输网络的第一用户想要转发给传输网络的第二用户, 该组的成员。 该方法包括以下步骤:将电子邮件转发给负责向电子邮件分配成本的市场引擎,由市场引擎根据内在和外在标准确定电子邮件的成本, 将所述电子邮件的成本提交给所述第一用户以进行协商,由市场引擎将所述电子邮件转发给所述第二用户,以及更新与所述第一用户相关联的信用账户。
    • 7. 发明授权
    • Safety stock determination
    • 安全库存决定
    • US06931347B2
    • 2005-08-16
    • US10743249
    • 2003-12-22
    • Richard A. BoediAbderrahim LabbiUlrich B. Schimpel
    • Richard A. BoediAbderrahim LabbiUlrich B. Schimpel
    • G06F15/00G06Q10/08
    • G06Q10/087
    • The invention is directed to a method for assigning to a set of products a set of corresponding continuous demand densities. In a conversion step for each product its demand time series is converted into a discrete demand density. In a normalization step the discrete demand densities are transformed into normalized discrete demand densities. In a clustering step each of the normalized discrete demand densities is assigned to a cluster and for each cluster a cluster-representative discrete density is determined. In a selection step for each cluster-representative discrete density out of a predetermined set of continuous model densities a cluster-representative continuous density is selected. In a parameter-determination step for each product for its cluster-representative continuous density product-individual density parameters are determined under use of which for each product a continuous density is determined. In an adjustment step for each product the continuous density is adjusted into the continuous demand density.
    • 本发明涉及一种用于向一组产品分配一组相应的连续需求密度的方法。 在每个产品的转换步骤中,其需求时间序列被转换成离散的需求密度。 在归一化步骤中,离散需求密度被转换成归一化的离散需求密度。 在聚类步骤中,将归一化的离散需求密度中的每一个分配给群集,并且对于每个群集,确定簇代表的离散密度。 在对于预定的连续模型密度集合中的每个簇代表的离散密度的选择步骤中,选择簇代表连续密度。 在用于其聚簇代表性连续密度乘积密度参数的每个产品的参数确定步骤中,在使用其中确定每个产品的连续密度的确定步骤。 在每个产品的调整步骤中,将连续密度调整为连续需求密度。