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    • 82. 发明申请
    • DETERMINATION OF CUSTOMIZED INVESTING ADVICE
    • 自定义投资建议的确定
    • US20090319439A1
    • 2009-12-24
    • US12144683
    • 2008-06-24
    • Kamal JainCraig J. Mundie
    • Kamal JainCraig J. Mundie
    • G06Q40/00
    • G06Q40/06G06Q40/00
    • Described herein is a system that facilitates provision of personalized investing advice to a user. The system includes a subscriber component that receives a selection of multiple financial models from the user, wherein the user may desire to receive financial data from the multiple financial models in real-time. Further, the system can include an adviser component that can receive and process financial data output by the multiple financial models and can determine customized investing advice for the user based at least in part upon the financial data output by the multiple financial models and personal investing preferences of the user.
    • 这里描述了有助于向用户提供个性化投资建议的系统。 该系统包括从用户接收多个金融模型的选择的订户组件,其中用户可能希望实时地从多个金融模型接收财务数据。 此外,系统可以包括顾问组件,其可以接收和处理由多个金融模型输出的财务数据,并且可以至少部分地基于由多个金融模型输出的财务数据和个人投资偏好来为用户确定定制的投资建议 的用户。
    • 85. 发明授权
    • Digital data processing system
    • 数字数据处理系统
    • US4493024A
    • 1985-01-08
    • US266406
    • 1981-05-22
    • Ward Baxter, IIGerald F. ClancyRonald H. GrunerCraig J. MundieBrett L. BachmanStephen R. RedfieldWilliam N. CoderThomas M. JonesDavid L. HousemanCharles J. YoungSteven M. Haeffele
    • Ward Baxter, IIGerald F. ClancyRonald H. GrunerCraig J. MundieBrett L. BachmanStephen R. RedfieldWilliam N. CoderThomas M. JonesDavid L. HousemanCharles J. YoungSteven M. Haeffele
    • G06F9/318G06F9/35G06F13/00
    • G06F9/30192G06F9/35
    • A data processing system having a flexible internal structure, protected from and effecitvely invisible to users, with multilevel control and stack mechanisms and capability of performing multiple, concurrent operations, and providing a flexible, simplified interface to users. The system is internally comprised of a plurality of separate, independent processors, each having a separate microinstruction control and at least one separate, independent port to a central communications and memory node. The communications and memory node is an independent processor having separate, independent microinstruction control and comprised of a plurality of independently operating, microinstruction controlled processors capable of performing multiple, concurrent memory and communications operations. Addressing mechanisms allow permanent, unique identification of information and an extremely large address space accessible and common to all such systems. Addresses are independent of system physical configuration. Information is identified to bit granular level and to information type and format. Protection mechanisms provide variable access rights associated with individual bodies of information. User language instructions are transformed into dialect coded, uniform, intermediate level instructions to provide equal facility of execution for all user languages. Operands are referred to by uniform format names which are transformed, by internal mechanisms transparent to users, into addresses.
    • 具有灵活的内部结构的数据处理系统,具有多层次的控制和堆栈机制以及执行多个并发操作的能力,并为用户提供灵活,简化的界面,保护用户不受任何用户无害的影响。 该系统内部由多个独立的独立处理器组成,每个独立的处理器具有单独的微指令控制和至少一个独立于中央通信和存储器节点的独立端口。 通信和存储器节点是具有独立且独立的微指令控制的独立处理器,并且包括能够执行多个并发存储器和通信操作的多个独立操作的微指令控制的处理器。 寻址机制允许永久,唯一的信息识别和所有这些系统可访问和共同的极大的地址空间。 地址与系统物理配置无关。 信息被识别为细粒度级别和信息类型和格式。 保护机制提供与个体信息相关联的可变访问权限。 用户语言指令被转换为方言编码的,统一的中间级指令,以便为所有用户语言提供相同的执行功能。 操作数由统一格式名称引用,通过对用户透明的内部机制转换为地址。
    • 90. 发明授权
    • Large-scale information collection and mining
    • 大型信息采集和挖掘
    • US07814035B2
    • 2010-10-12
    • US12180705
    • 2008-07-28
    • Craig J. MundieDavid E. HeckermanNebojsa JojicRandy J. Hinrichs
    • Craig J. MundieDavid E. HeckermanNebojsa JojicRandy J. Hinrichs
    • G06E1/00G06E3/00G06F15/18G06G7/00
    • G06N99/005G06F19/00G06Q10/10G06Q50/24G16H50/20
    • The methods/systems described herein facilitate large-scale data collection and aggregation. One exemplary system that facilitates large-scale reporting of health-related data comprises a data collection component, a database and an aggregation component. The data collection component can collect health-related data on a large-scale from a non-selected population. The database can store at least some of the health-related data. The aggregation component can facilitate automatically ascertaining at least one pattern from the health-related data at least in part by applying one or more statistical, data-mining or machine-learning techniques to the database. One exemplary method of extracting health observations from information obtained on a macro-scale comprises receiving information about a plurality of self-selected subjects, pooling the information, mining the pooled information at least in part by employing a data-mining algorithm to infer one or more health observations from the pooled information, and monetizing the one or more health observations.
    • 这里描述的方法/系统有助于大规模数据收集和聚合。 促进健康相关数据的大规模报告的一个示例性系统包括数据收集组件,数据库和聚合组件。 数据收集组件可以从非选定人群大规模收集健康相关数据。 数据库可以存储至少一些健康相关数据。 聚合组件可以至少部分地通过将一个或多个统计,数据挖掘或机器学习技术应用于数据库来自动地从健康相关数据确定至少一个模式。 从在宏观尺度上获得的信息中提取健康观测的一个示例性方法包括:接收关于多个自选择对象的信息,汇集信息,至少部分地通过采用数据挖掘算法推断出一个或多个 从汇集的信息中获得更多的健康意见,并通过一个或多个健康观察获利。