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    • 2. 发明申请
    • System and method for mining model accuracy display
    • 挖掘模型精度显示的系统和方法
    • US20070010966A1
    • 2007-01-11
    • US11519317
    • 2006-09-11
    • Pyungchul KimZhaohui TangDavid HeckermanScott Oveson
    • Pyungchul KimZhaohui TangDavid HeckermanScott Oveson
    • G06F17/18G06F19/00
    • G06F17/18G06F16/2465
    • Systems and methods are provided for producing displays of the accuracy of data mining or statistical models that produce associative predictions. For all cases in a testing data set, the model makes predictions and provides associated probabilities. The cases are sorted by their probability of making accurate predictions and a graph is made of the accuracy of the model over various subsets containing the highest probability cases as evaluated by the model. Where a number of probabilities are presented for the predictions in a basket of predictions, those probabilities are combined to yield a probability score for the entire basket. Additionally, the accuracy of a model over different basket sizes may be graphed. The accuracy graph may also be produced for any models making a prediction, by graphing the probability of making accurate predictions and a graph made of the accuracy of the model over various subsets of the data containing the highest probability cases.
    • 提供系统和方法用于产生数据挖掘的准确性的显示或产生关联预测的统计模型。 对于测试数据集中的所有情况,模型进行预测并提供相关概率。 这些案例按照准确预测的概率进行排序,并且通过模型评估,对包含最高概率案例的各种子集进行模型的精度图。 在对一篮子预测中的预测提出若干概率的情况下,将这些概率组合起来以产生整个篮子的概率得分。 此外,可以绘制不同篮子尺寸的模型的精度。 也可以通过绘制准确预测的概率和通过包含最高概率情况的数据的各种子集对模型的精度进行绘制的图形来产生准确度图。
    • 3. 发明申请
    • Adaptive systems and methods for making software easy to use via software usage mining
    • 通过软件使用挖掘使软件易于使用的自适应系统和方法
    • US20060242638A1
    • 2006-10-26
    • US11112683
    • 2005-04-22
    • Sin Shyh LewPyungchul KimSanjeev KatariyaZijian Zheng
    • Sin Shyh LewPyungchul KimSanjeev KatariyaZijian Zheng
    • G06F9/44
    • G06F9/451
    • A system for dynamically updating user accessible features of a software application on a client computer has a user interface, a local usage data file, and a data mining engine. The user interface is adapted to receive operator inputs. The local usage data file is adapted to store usage information corresponding to the operator inputs. The data mining engine is adapted to process the stored usage information and to generate local adjustments to a user interface of the software application based on the operator inputs. In one embodiment, a server is adapted to receive usage data from a plurality of application instances on a plurality of client computers and to generate global adjustments based on the received usage data. In one embodiment, the system has a merge feature adapted to blend and resolve conflicts between local and global adjustments to generate an interface adjustment for the user interface.
    • 用于在客户端计算机上动态地更新软件应用的用户可访问特征的系统具有用户界面,本地使用数据文件和数据挖掘引擎。 用户界面适于接收操作员输入。 本地使用数据文件适于存储对应于操作者输入的使用信息。 数据挖掘引擎适于处理存储的使用信息,并且基于操作者输入产生对软件应用的用户界面的局部调整。 在一个实施例中,服务器适于从多个客户端计算机上的多个应用实例接收使用数据,并且基于接收到的使用数据生成全局调整。 在一个实施例中,系统具有适于混合和解决局部和全局调整之间的冲突的合并特征,以生成用户界面的接口调整。
    • 5. 发明授权
    • Adaptive systems and methods for making software easy to use via software usage mining
    • 通过软件使用挖掘使软件易于使用的自适应系统和方法
    • US07802197B2
    • 2010-09-21
    • US11112683
    • 2005-04-22
    • Sin Shyh LewPyungchul KimSanjeev KatariyaZijian Zheng
    • Sin Shyh LewPyungchul KimSanjeev KatariyaZijian Zheng
    • G06F3/048
    • G06F9/451
    • A system for dynamically updating user accessible features of a software application on a client computer has a user interface, a local usage data file, and a data mining engine. The user interface is adapted to receive operator inputs. The local usage data file is adapted to store usage information corresponding to the operator inputs. The data mining engine is adapted to process the stored usage information and to generate local adjustments to a user interface of the software application based on the operator inputs. In one embodiment, a server is adapted to receive usage data from a plurality of application instances on a plurality of client computers and to generate global adjustments based on the received usage data. In one embodiment, the system has a merge feature adapted to blend and resolve conflicts between local and global adjustments to generate an interface adjustment for the user interface.
    • 用于在客户端计算机上动态地更新软件应用的用户可访问特征的系统具有用户界面,本地使用数据文件和数据挖掘引擎。 用户界面适于接收操作员输入。 本地使用数据文件适于存储对应于操作者输入的使用信息。 数据挖掘引擎适于处理存储的使用信息,并且基于操作者输入产生对软件应用的用户界面的局部调整。 在一个实施例中,服务器适于从多个客户端计算机上的多个应用实例接收使用数据,并且基于接收到的使用数据生成全局调整。 在一个实施例中,系统具有适于混合和解决局部和全局调整之间的冲突的合并特征,以生成用户界面的接口调整。
    • 10. 发明授权
    • Generation of a blended classification model
    • 生成混合分类模型
    • US08019758B2
    • 2011-09-13
    • US11157553
    • 2005-06-21
    • Zijian ZhengFrederic BehrPyungchul KimSteven Fox
    • Zijian ZhengFrederic BehrPyungchul KimSteven Fox
    • G06F17/00
    • G06F17/30705
    • Methods for updating an information retrieval system are disclosed. In one embodiment, search terms affiliated with mappings or associations that represent a connection of relevancy between a query and an asset are pushed as content updates to a client system (e.g., as new updates or utilized to replace older data). The search terms are inserted (e.g., inserted as metadata) into corresponding content (the content associated with the asset). In this manner, content-searching data can be updated (e.g., remotely updated) as frequently as desired, even periodically, or selectively as new manually and/or automatically derived data becomes available. In another embodiment, the update data is already built into the content when it is delivered to a client machine. Other disclosed embodiments pertain to methods for generating a data mining classification model that is a blended representation of associations (e.g., query-asset associations) having different characteristics and/or different originating sources.
    • 公开了更新信息检索系统的方法。 在一个实施例中,与表示查询和资产之间的相关性的连接的映射或关联关联的搜索项被推送到客户端系统的内容更新(例如,作为新的更新或用于替换旧的数据)。 将搜索项插入(例如,作为元数据插入)到相应的内容(与资产相关联的内容)中。 以这种方式,随着新手动和/或自动导出的数据变得可用,内容搜索数据可以根据需要频繁更新(例如,远程更新),甚至周期性地或选择性地更新。 在另一个实施例中,当将内容递送到客户机时,更新数据已经被内置到内容中。 其他公开的实施例涉及用于生成数据挖掘分类模型的方法,数据挖掘分类模型是具有不同特征和/或不同始发源的关联(例如,查询 - 资产关联)的混合表示。