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    • 91. 发明申请
    • LARGE-SCALE INFORMATION COLLECTION AND MINING
    • 大规模信息采集和采矿
    • US20080294465A1
    • 2008-11-27
    • US12180705
    • 2008-07-28
    • Craig J. MundieDavid E. HeckermanNebojsa JojicRandy J. Hinrichs
    • Craig J. MundieDavid E. HeckermanNebojsa JojicRandy J. Hinrichs
    • G06Q50/00
    • 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。
    • 92. 发明授权
    • Large-scale information collection and mining
    • 大型信息采集和挖掘
    • US07406453B2
    • 2008-07-29
    • US11266974
    • 2005-11-04
    • 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。
    • 94. 发明授权
    • Universal addressing system for a digital data processing system
    • 数字数据处理系统的通用寻址系统
    • US4821184A
    • 1989-04-11
    • US647272
    • 1984-09-04
    • Gerald F. ClancyCraig J. MundieStephen I. SchleimerSteven J. WallachRichard G. Bratt
    • Gerald F. ClancyCraig J. MundieStephen I. SchleimerSteven J. WallachRichard G. Bratt
    • G06F9/44G06F12/00
    • G06F9/4428
    • A universal addressing system for use in a digital data processing system including a universal memory for storing data including instructions and at least one local system having access to the universal memory. The universal memory is organized into objects, and each item of data is associated with an object. Each object is specified by a unique identifier, and data is addressed by means of a logical address which specifies the UID of the object containing the data and the offset of the data in the object. A processor in the local system responds to instructions by providing memory operation specifiers to the universal memory. Each memory operation specifier specifies a memory operation and a logical address. The offset in the logical address may specify any bit in the object. The memory operation specifier also specifies a length in bits. The universal memory responds to the memory operation specifier by performing the operation specified by the memory operation specifier on the data item beginning at the location specified by the logical address and containing the specified number of bits.
    • 一种用于数字数据处理系统的通用寻址系统,包括用于存储包括指令的数据的通用存储器和至少一个具有访问通用存储器的本地系统。 通用存储器被组织成对象,并且每个数据项与对象相关联。 每个对象由唯一的标识符指定,并且数据通过逻辑地址来寻址,该逻辑地址指定包含数据的对象的UID和对象中数据的偏移量。 本地系统中的处理器通过向通用存储器提供存储器操作说明符来响应指令。 每个存储器操作说明符指定存储器操作和逻辑地址。 逻辑地址中的偏移可以指定对象中的任何位。 存储器操作说明符还指定长度(以位为单位)。 通用存储器通过执行由存储器操作说明符对由逻辑地址指定的位置开始并包含指定位数的数据项指定的操作来响应存储器操作说明符。
    • 99. 发明授权
    • Determination of customized investing advice
    • 确定定制投资咨询
    • US07801787B2
    • 2010-09-21
    • 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。