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    Visual interface to indicate custom binning of items
    2.
    发明授权
    Visual interface to indicate custom binning of items 有权
    可视界面来指示项目的自定义合并

    公开(公告)号：US07756900B2

    公开(公告)日：2010-07-13

    申请号：US11752048

    申请日：2007-05-22

    申请人： David A. Burgess ,  Amit Umesh Shanbhag ,  Joshua Ethan Miller Koran ,  Glen Anthony Ames ,  Sundara Raman Rajagopalan ,  Lisa Akerman Ford

    发明人： David A. Burgess ,  Amit Umesh Shanbhag ,  Joshua Ethan Miller Koran ,  Glen Anthony Ames ,  Sundara Raman Rajagopalan ,  Lisa Akerman Ford

    IPC分类号： G06F17/30

    CPC分类号： G06Q10/06 ,  G06F17/247

    摘要： Records representing items in a dimensionally-modeled fact collection are assigned to bins. A count-based portion of a user interface receives user bin assignment specification of the records based on user-specified counts of records. Actual counts for bin assignment are determined by constraining records having a same data value at a specified particular dimension to be within the same bin. A user-observable indication of the determined actual counts is provided. The user interface may include a value-based portion. The value-based portion of the user interface may be operated to receive user indication of bin assignment specification of records based on user-specified at least one value at the particular dimension. Determining actual counts includes reconciling the user indication of bin assignment specification in the count-based portion with the user indication of bin assignment specification in the value-based portion.

    摘要翻译： 表示在维度建模的事实集合中的项目的记录被分配给仓。 用户界面的基于计数的部分基于用户指定的记录计数来接收记录的用户bin分配规范。 通过在指定的特定维度上将具有相同数据值的记录约束在同一个箱中来确定箱分配的实际计数。 提供了确定的实际计数的用户可观察的指示。 用户界面可以包括基于值的部分。 用户界面的基于值的部分可以被操作以基于特定维度上的用户指定的至少一个值来接收对记录的仓分配规范的用户指示。 确定实际计数包括将基于计数的部分中的箱分配规范的用户指示与基于值的部分中的箱分配规范的用户指示进行协调。

    DETERMINATION OF SAMPLING CHARACTERISTICS BASED ON AVAILABLE MEMORY
    3.
    发明申请
    DETERMINATION OF SAMPLING CHARACTERISTICS BASED ON AVAILABLE MEMORY 有权
    基于可用存储器的采样特性的确定

    公开(公告)号：US20080282020A1

    公开(公告)日：2008-11-13

    申请号：US11746541

    申请日：2007-05-09

    申请人： David A. Burgess ,  Amit Umesh Shanbhag ,  Brian T. Selle ,  Glen Anthony Ames ,  Sundara Raman Rajagopalan

    发明人： David A. Burgess ,  Amit Umesh Shanbhag ,  Brian T. Selle ,  Glen Anthony Ames ,  Sundara Raman Rajagopalan

    IPC分类号： G06F12/00

    CPC分类号： G06Q30/02

    摘要： A portion of data records of a full input data set are imported into memory of a computer system for processing by an executing application. The full input data set includes data records of a dimensionally-modeled fact collection. An amount of the data of the full input set to import is determined based on an amount of available memory of the computer system. The sampling characteristics for sampling the full input data set are determined based on the amount of the data that can be imported and on characteristics of the full input data set and application involved. The full input data set is then sampled and a portion of the records are imported into the memory of the computer system for processing. The sampling characteristics are determined such that analysis as a result of processing by the executing application of the sampled portion of the records imported is representative of the analysis that could otherwise be carried out on the full input data set, with a calculable statistical relevance.

    摘要翻译： 完整输入数据集的数据记录的一部分被导入到计算机系统的存储器中，以供执行的应用程序处理。 完整的输入数据集包括维度建模事实集合的数据记录。 基于计算机系统的可用存储器的量来确定要导入的完整输入的数据量。 基于可以导入的数据量以及所涉及的全部输入数据集和应用的特征来确定对全输入数据集进行采样的采样特性。 然后对完整的输入数据集进行采样，并将一部分记录导入计算机系统的存储器进行处理。 确定采样特性，使得作为执行应用程序进行处理的结果的分析导致的记录的采样部分代表可以以完全输入数据集执行的分析，具有可计算的统计相关性。

    GUIDED CLUSTER ATTRIBUTE SELECTION
    4.
    发明申请
    GUIDED CLUSTER ATTRIBUTE SELECTION 审中-公开
    指导集群属性选择

    公开(公告)号：US20080120307A1

    公开(公告)日：2008-05-22

    申请号：US11561779

    申请日：2006-11-20

    申请人： Glen Anthony Ames ,  David A. Burgess ,  Joshua Ethan Miller Koran ,  Amit Umesh Shanbhag

    发明人： Glen Anthony Ames ,  David A. Burgess ,  Joshua Ethan Miller Koran ,  Amit Umesh Shanbhag

    IPC分类号： G06F17/30

    CPC分类号： G06Q30/02

    摘要： A method for selecting at least one target customer attribute from a plurality of customer attributes, wherein each customer attribute represents a unique customer characteristic is provided. The plurality of customer attributes is presented for selection. A selection of at least one target customer attribute selected from the plurality of customer attributes is received. For each cluster of a plurality of clusters, indicated the statistic of customers belonging to that cluster who possess each and every one of the at least one target customer attribute. The plurality of clusters comprises a plurality of customers and each customer of the plurality of customers belongs to at least one cluster of the plurality of clusters.

    摘要翻译： 一种用于从多个顾客属性中选择至少一个目标客户属性的方法，其中提供了每个顾客属性表示唯一的客户特征。 提供多个客户属性供选择。 接收从多个顾客属性中选择的至少一个目标客户属性的选择。 对于多个集群的每个集群，指示属于该集群的客户的统计信息，其拥有至少一个目标客户属性中的每一个。 多个集群包括多个客户，并且多个客户的每个客户属于多个集群中的至少一个集群。

    Determination of sampling characteristics based on available memory
    7.
    发明授权
    Determination of sampling characteristics based on available memory 有权
    基于可用内存确定采样特性

    公开(公告)号：US07818534B2

    公开(公告)日：2010-10-19

    申请号：US11746541

    申请日：2007-05-09

    申请人： David A. Burgess ,  Amit Umesh Shanbhag ,  Brian T. Selle ,  Glen Anthony Ames ,  Sundara Raman Rajagopalan

    发明人： David A. Burgess ,  Amit Umesh Shanbhag ,  Brian T. Selle ,  Glen Anthony Ames ,  Sundara Raman Rajagopalan

    IPC分类号： G06F17/30

    CPC分类号： G06Q30/02

    摘要： A portion of data records of a full input data set are imported into memory of a computer system for processing by an executing application. The full input data set includes data records of a dimensionally-modeled fact collection. An amount of the data of the full input set to import is determined based on an amount of available memory of the computer system. The sampling characteristics for sampling the full input data set are determined based on the amount of the data that can be imported and on characteristics of the full input data set and application involved. The full input data set is then sampled and a portion of the records are imported into the memory of the computer system for processing. The sampling characteristics are determined such that analysis as a result of processing by the executing application of the sampled portion of the records imported is representative of the analysis that could otherwise be carried out on the full input data set, with a calculable statistical relevance.

    摘要翻译： 完整输入数据集的数据记录的一部分被导入到计算机系统的存储器中，以供执行的应用程序处理。 完整的输入数据集包括维度建模事实集合的数据记录。 基于计算机系统的可用存储器的量来确定要导入的完整输入的数据量。 基于可以导入的数据量以及所涉及的全部输入数据集和应用的特征来确定对全输入数据集进行采样的采样特性。 然后对完整的输入数据集进行采样，并将一部分记录导入计算机系统的存储器进行处理。 确定采样特性，使得作为执行应用程序进行处理的结果的分析导致的记录的采样部分代表可以以完全输入数据集执行的分析，具有可计算的统计相关性。

    REAL TIME PARKING SEARCH AND POINT-TO-POINT DIRECTION GENERATOR
    8.
    发明申请
    REAL TIME PARKING SEARCH AND POINT-TO-POINT DIRECTION GENERATOR 审中-公开
    实时停车搜索和点对点方向发电机

    公开(公告)号：US20090204319A1

    公开(公告)日：2009-08-13

    申请号：US12029243

    申请日：2008-02-11

    申请人： Amit Umesh Shanbhag ,  Glen Ames ,  Philip Aaronson

    发明人： Amit Umesh Shanbhag ,  Glen Ames ,  Philip Aaronson

    IPC分类号： G01C21/34 ,  G06Q10/00 ,  G06F17/30 ,  G06F3/048

    CPC分类号： G01C21/3423 ,  G01C21/3685 ,  G06F16/29 ,  G06Q10/02 ,  G06Q10/06

    摘要： Methods, systems, and apparatuses for mapping parking locations and for selecting parking are described. A search for parking resources proximate to a destination geographic location is performed. Parking information is generated based on the results of the search. The parking information may be displayed on a map of the destination geographical location. A map of the destination geographical location may be displayed with the parking information. A user may be enabled to select a parking location indicated on the map. The user may reserve the selected parking location if the selected parking location is determined to be reservable. Travel directions (e.g., for walking) from the selected parking location to the destination geographic location may be generated, and may be indicated on the map.

    摘要翻译： 描述用于映射停车位置和选择停车的方法，系统和装置。 执行搜索靠近目的地地理位置的停车资源。 基于搜索结果生成停车信息。 停车信息可以显示在目的地地理位置的地图上。 可以用停车信息显示目的地地理位置的地图。 可以启用用户来选择地图上指示的停车位置。 如果所选择的停车位置被确定为可保留，则用户可以预留所选择的停车位置。 可以生成从所选择的停车位置到目的地地理位置的行驶方向（例如，步行），并且可以在地图上指示。

    SYSTEMS AND METHODS FOR BEHAVIORAL MODELING TO OPTIMIZE SHOPPING CART CONVERSION
    10.
    发明申请
    SYSTEMS AND METHODS FOR BEHAVIORAL MODELING TO OPTIMIZE SHOPPING CART CONVERSION 审中-公开
    用于优化购物车转换的行为建模的系统和方法

    公开(公告)号：US20120323682A1

    公开(公告)日：2012-12-20

    申请号：US13524187

    申请日：2012-06-15

    申请人： Amit Umesh Shanbhag ,  Nausher Ahmed Cholavaram ,  Senthil Kumar Pandurangan ,  Zeqian Shen ,  Dennis Decoste

    发明人： Amit Umesh Shanbhag ,  Nausher Ahmed Cholavaram ,  Senthil Kumar Pandurangan ,  Zeqian Shen ,  Dennis Decoste

    IPC分类号： G06Q30/02

    CPC分类号： G06Q30/0641 ,  G06Q30/0601

    摘要： Systems and methods for behavioral modeling to optimize shopping cart conversion are discussed. For example, a method can include identifying a user interacting with a networked system, accessing user profile data associated with the user, tracking user activity associated with the user, accessing a behavioral model, applying the behavioral model, and determining a shopping cart optimization. The behavioral model can be generated from historical data detailing interactions with the networked system. The behavioral model can be applied to the user profiled data and the user activity data to assist in selection of a shopping cart optimization.

    摘要翻译： 讨论了用于优化购物车转换的行为建模的系统和方法。 例如，方法可以包括识别与网络系统交互的用户，访问与用户相关联的用户简档数据，跟踪与用户相关联的用户活动，访问行为模型，应用行为模型以及确定购物车优化。 行为模型可以从详细描述与网络系统的交互的历史数据生成。 行为模型可以应用于用户分析数据和用户活动数据，以帮助选择购物车优化。