Selective storing of mining models for enabling interactive data mining
    1.
    发明授权
    Selective storing of mining models for enabling interactive data mining 失效
    挖掘模型的选择性存储,以实现交互式数据挖掘

    公开(公告)号:US08380740B2

    公开(公告)日:2013-02-19

    申请号:US12951542

    申请日:2010-11-22

    CPC classification number: G06F17/30286

    Abstract: Computerized methods, data processing systems, and computer program products for storing of data mining models (DMMs) are provided. A new DMM is created having at least one of the following characteristics: quality and complexity. The new DMM is handled as a candidate for storing in a storage device if a predefined criterion for the characteristics is met. The sum of the sizes of the new DMM and already stored DMMs is determined. In response to the sum falling below a storage limit, the new DMM is stored in the storage device. In response to the sum exceeding the storage limit, a decision is taken based on priorities of the DMMs which DMMs to store in the storage device. The priorities depend at least on access frequencies of the DMMs. Upon a data mining request, a corresponding DMM is determined and a user is requested to confirm that data mining is to proceed if quality of the determined DMM does not fulfill a further predefined criterion.

    Abstract translation: 提供了用于存储数据挖掘模型(DMM)的计算机化方法,数据处理系统和计算机程序产品。 创建具有以下特征中的至少一个的新的DMM:质量和复杂性。 如果满足特征的预定义标准,则新DMM被作为存储在存储设备中的候选者来处理。 确定新的DMM和已存储的DMM的大小的总和。 响应于总和低于存储限制,新的DMM存储在存储设备中。 响应于超过存储限制的总和,基于存储在存储设备中的DMM的优先级进行决定。 优先级至少取决于DMM的访问频率。 在数据挖掘请求时,确定对应的DMM,并且如果所确定的DMM的质量不满足另外的预定准则,则请求用户确认数据挖掘将继续进行。

    Providing consistency in processing data streams
    2.
    发明授权
    Providing consistency in processing data streams 失效
    提供处理数据流的一致性

    公开(公告)号:US08291005B2

    公开(公告)日:2012-10-16

    申请号:US11970309

    申请日:2008-01-07

    CPC classification number: G06F9/546

    Abstract: Providing consistency guarantees in a data stream processing engine is provided. Consistency tracking information is attached to data streams coming into the data stream processing engine. The consistency tracking information is propagated through a plurality of streaming operators that process the data streams within the data stream processing engine. Then, the propagated consistency tracking information is used to detect a consistent state in an output stream.

    Abstract translation: 提供了数据流处理引擎中的一致性保证。 一致性跟踪信息附加到进入数据流处理引擎的数据流。 一致性跟踪信息通过处理数据流处理引擎内的数据流的多个流操作符传播。 然后,传播的一致性跟踪信息用于检测输出流中的一致状态。

    Methods and apparatus for knowledge base assisted annotation
    3.
    发明授权
    Methods and apparatus for knowledge base assisted annotation 失效
    知识库辅助注释的方法和装置

    公开(公告)号:US07676739B2

    公开(公告)日:2010-03-09

    申请号:US10723344

    申请日:2003-11-26

    CPC classification number: G06F17/30038

    Abstract: Improved document annotation techniques are provided. For example, in one aspect of the invention, a technique for determining an annotation for a document includes the following steps/operations. A user-proposed annotation to be associated with the document is obtained. Then, the technique automatically determines, in accordance with a knowledge base, whether the user-proposed annotation matches at least one allowed annotation.

    Abstract translation: 提供了改进的文档注释技术。 例如,在本发明的一个方面,用于确定文档的注释的技术包括以下步骤/操作。 获得与文档相关联的用户提出的注释。 然后,该技术根据知识库自动确定用户提出的注释是否匹配至少一个允许的注释。

    METHOD AND SYSTEM FOR PROVIDING CONSISTENCY IN PROCESSING DATA STREAMS
    4.
    发明申请
    METHOD AND SYSTEM FOR PROVIDING CONSISTENCY IN PROCESSING DATA STREAMS 失效
    在处理数据流中提供一致性的方法和系统

    公开(公告)号:US20090178059A1

    公开(公告)日:2009-07-09

    申请号:US11970309

    申请日:2008-01-07

    CPC classification number: G06F9/546

    Abstract: A system for providing consistency guarantees in a data stream processing engine. Consistency tracking information is attached to data streams coming into the data stream processing engine. The consistency tracking information is propagated through a plurality of streaming operators that process the data streams within the data stream processing engine. Then, the propagated consistency tracking information is used to detect a consistent state in an output stream.

    Abstract translation: 一种用于在数据流处理引擎中提供一致性保证的系统。 一致性跟踪信息附加到进入数据流处理引擎的数据流。 一致性跟踪信息通过处理数据流处理引擎内的数据流的多个流操作符传播。 然后,传播的一致性跟踪信息用于检测输出流中的一致状态。

    Method and apparatus for efficiently supporting multiple one-time table access operations in a hierarchical memory setting
    5.
    发明授权
    Method and apparatus for efficiently supporting multiple one-time table access operations in a hierarchical memory setting 失效
    用于在分层存储器设置中有效地支持多个一次表访问操作的方法和装置

    公开(公告)号:US07512747B2

    公开(公告)日:2009-03-31

    申请号:US11404966

    申请日:2006-04-14

    CPC classification number: G06F13/385 G06F12/0842

    Abstract: An embodiment of the present invention provides a computer system including a first memory and a second memory, where the first memory is substantially faster than the second memory. A method includes steps of: inspecting a request queue for block requests from a plurality of concurrent calling processes, the request queue including a plurality of block requests not yet processed by any of the plurality of concurrent calling processes; retrieving one of the plurality of block requests, wherein each block is accessed at most once by each calling process; determining whether the retrieved block request can be fulfilled from the first memory; and returning the retrieved block to the calling process whose state indicates that the block is needed if the retrieved block request can be fulfilled from the first memory.

    Abstract translation: 本发明的实施例提供一种包括第一存储器和第二存储器的计算机系统,其中第一存储器比第二存储器快得多。 一种方法包括以下步骤:检查来自多个并发呼叫进程的块请求的请求队列,所述请求队列包括尚未由多个并发呼叫进程中的任何一个处理的多个块请求; 检索所述多个块请求中的一个,其中每个调用进程最多访问一个块; 确定所述检索到的块请求是否可以从所述第一存储器被满足; 并且将检索到的块返回到调用进程,其状态指示如果从第一存储器可以满足检索到的块请求,则需要该块。

    Selective storing of mining models for enabling interactive data mining
    10.
    发明授权
    Selective storing of mining models for enabling interactive data mining 失效
    挖掘模型的选择性存储,以实现交互式数据挖掘

    公开(公告)号:US08538988B2

    公开(公告)日:2013-09-17

    申请号:US13616783

    申请日:2012-09-14

    CPC classification number: G06F17/30286

    Abstract: A new data mining model (DMM) is created having at least one of the following characteristics: quality and complexity. The new DMM is handled as a candidate for storing in a storage device if a predefined criterion for the characteristics is met. The sum of the sizes of the new DMM and already stored DMMs is determined. In response to the sum falling below a storage limit, the new DMM is stored in the storage device. In response to the sum exceeding the storage limit, a decision is taken based on priorities of the DMMs which DMMs to store in the storage device.

    Abstract translation: 创建一个新的数据挖掘模型(DMM),具有以下特征中的至少一个:质量和复杂性。 如果满足特征的预定义标准,则新DMM被作为存储在存储设备中的候选者来处理。 确定新的DMM和已存储的DMM的大小的总和。 响应于总和低于存储限制,新的DMM存储在存储设备中。 响应于超过存储限制的总和,基于存储在存储设备中的DMM的优先级进行决定。

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