Custodian suggestion for efficient legal e-discovery
    2.
    发明授权
    Custodian suggestion for efficient legal e-discovery 有权
    托管人建议有效的合法电子发现

    公开(公告)号:US08832126B2

    公开(公告)日:2014-09-09

    申请号:US13220013

    申请日:2011-08-29

    摘要: Given a set of documents relevant to a litigation hold and a seed set of custodians, a second set of custodians can be generated and suggested to a user. After receiving a seed set of keywords and/or custodians, documents are identified based on their relevance. Relevant documents are searched for custodian names, and appropriate custodian names are presented to a user. Additionally, based on a first set of custodians, a suggested set of custodians can be provided to a user based on relationships between the sets of custodians.

    摘要翻译: 鉴于一系列与诉讼保持有关的文件和种子保管人,可以向用户生成并建议第二组保管人。 在收到关键字和/或保管人的种子后,根据其相关性来识别文件。 搜索相关文件的保管人姓名,并向用户显示适当的保管人姓名。 另外,根据第一套保管人,可以根据保管人组之间的关系向用户提供一组建议的保管人。

    Custodian Suggestion for Efficient Legal E-Discovery
    3.
    发明申请
    Custodian Suggestion for Efficient Legal E-Discovery 有权
    托管人有效的法律电子发现建议

    公开(公告)号:US20120310951A1

    公开(公告)日:2012-12-06

    申请号:US13220013

    申请日:2011-08-29

    IPC分类号: G06F17/30

    摘要: Given a set of documents relevant to a litigation hold and a seed set of custodians, a second set of custodians can be generated and suggested to a user. After receiving a seed set of keywords and/or custodians, documents are identified based on their relevance. Relevant documents are searched for custodian names, and appropriate custodian names are presented to a user. Additionally, based on a first set of custodians, a suggested set of custodians can be provided to a user based on relationships between the sets of custodians.

    摘要翻译: 鉴于一系列与诉讼保持有关的文件和种子保管人,可以向用户生成并建议第二组保管人。 在收到关键字和/或保管人的种子后,根据其相关性来识别文件。 搜索相关文件的保管人姓名,并向用户显示适当的保管人姓名。 另外,根据第一套保管人,可以根据保管人组之间的关系向用户提供一组建议的保管人。

    Keyword suggestion for efficient legal E-discovery
    4.
    发明授权
    Keyword suggestion for efficient legal E-discovery 有权
    关键词建议有效的合法电子发现

    公开(公告)号:US08880492B2

    公开(公告)日:2014-11-04

    申请号:US13219846

    申请日:2011-08-29

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30648 G06F17/30719

    摘要: Given a set of documents relevant to a litigation hold and a seed set of keywords, a second set of keywords can be generated and suggested to a user. Each document in a training set of documents is given an indication of relevance. Based on the indication of relevance, a set of further keywords relevant to the litigation is extracted from the documents and suggested to a user. The suggested set of keywords may or may not include keywords in the seed set. Additionally, the suggested set of keywords may be related to the seed set of keywords.

    摘要翻译: 给定与诉讼保留相关的一组文档和一组关键字,可以为用户生成并建议第二组关键字。 培训文件中的每个文件都有相关性的指示。 根据相关性的指示,从文件中提取与诉讼相关的一组进一步的关键词,并向用户提出建议。 建议的一组关键字可能包含或不包括种子集中的关键字。 此外,建议的一组关键字可能与关键字的种子集有关。

    Keyword Suggestion for Efficient Legal E-Discovery
    5.
    发明申请
    Keyword Suggestion for Efficient Legal E-Discovery 有权
    关于有效的法律电子发现的关键词建议

    公开(公告)号:US20120310930A1

    公开(公告)日:2012-12-06

    申请号:US13219846

    申请日:2011-08-29

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30648 G06F17/30719

    摘要: Given a set of documents relevant to a litigation hold and a seed set of keywords, a second set of keywords can be generated and suggested to a user. Each document in a training set of documents is given an indication of relevance. Based on the indication of relevance, a set of further keywords relevant to the litigation is extracted from the documents and suggested to a user. The suggested set of keywords may or may not include keywords in the seed set. Additionally, the suggested set of keywords may be related to the seed set of keywords.

    摘要翻译: 给定与诉讼保留相关的一组文档和一组关键字,可以为用户生成并建议第二组关键字。 培训文件中的每个文件都有相关性的指示。 根据相关性的指示,从文件中提取与诉讼相关的一组进一步的关键词,并向用户提出建议。 建议的一组关键字可能包含或不包括种子集中的关键字。 此外,建议的一组关键字可能与关键字的种子集有关。

    Event driven change injection and dynamic extensions to a business process execution language process
    7.
    发明授权
    Event driven change injection and dynamic extensions to a business process execution language process 有权
    事件驱动的更改注入和业务流程执行语言流程的动态扩展

    公开(公告)号:US08572618B2

    公开(公告)日:2013-10-29

    申请号:US12776064

    申请日:2010-05-07

    IPC分类号: G09F9/46

    CPC分类号: G06F9/5038 G06F2209/5013

    摘要: An extensible process design provides an ability to dynamically inject changes into a running process instance, such as a BPEL instance. Using a combination of BPEL, rules and events, processes can be designed to allow flexibility in terms of adding new activities, removing or skipping activities and adding dependent activities. These changes do not require redeployment of the orchestration process and can affect the behavior of in-flight process instances. The extensible process design includes a main orchestration process, a set of task execution processes and a set of generic trigger processes. The design also includes a set of rules evaluated during execution of the tasks of the orchestration process. The design can further include three types of events: an initiate process event, a pre-task execution event and a post-task execution event. These events and rules can be used to alter the behavior of the main orchestration process at runtime.

    摘要翻译: 可扩展过程设计提供了将更改动态注入正在运行的流程实例(如BPEL实例)的功能。 使用BPEL,规则和事件的组合,可以设计流程以允许在添加新活动,删除或跳过活动以及添加依赖活动方面的灵活性。 这些更改不需要重新部署编排过程,并且可能影响飞行中流程实例的行为。 可扩展过程设计包括主要的编排过程,一组任务执行过程和一组通用触发过程。 该设计还包括在执行编排过程任务期间评估的一组规则。 该设计可以进一步包括三种类型的事件:启动过程事件,前任务执行事件和后任务执行事件。 这些事件和规则可用于在运行时改变主要业务流程的行为。

    Method and apparatus for recommendation engine using pair-wise co-occurrence consistency
    8.
    发明授权
    Method and apparatus for recommendation engine using pair-wise co-occurrence consistency 有权
    推荐引擎使用成对一致性的方法和装置

    公开(公告)号:US08015140B2

    公开(公告)日:2011-09-06

    申请号:US12857317

    申请日:2010-08-16

    IPC分类号: G06F17/00 G06N5/02

    摘要: The invention, referred to herein as PeaCoCk, uses a unique blend of technologies from statistics, information theory, and graph theory to quantify and discover patterns in relationships between entities, such as products and customers, as evidenced by purchase behavior. In contrast to traditional purchase-frequency based market basket analysis techniques, such as association rules which mostly generate obvious and spurious associations, PeaCoCk employs information-theoretic notions of consistency and similarity, which allows robust statistical analysis of the true, statistically significant, and logical associations between products. Therefore, PeaCoCk lends itself to reliable, robust predictive analytics based on purchase-behavior.

    摘要翻译: 本发明在本文中称为PeaCoCk,使用来自统计学,信息理论和图形理论的独特技术融合来量化和发现实体(例如产品和客户)之间的关系中的模式,如购买行为所证明的。 与传统的基于购买频率的市场篮子分析技术(如大多数产生明显和虚假关联的关联规则)相反,PeaCoCk采用信息理论的一致性和相似性概念,这使得对真实的,统计上显着的和合乎逻辑的逻辑分析 产品之间的关联。 因此,PeaCoCk可以根据购买行为进行可靠,强大的预测分析。

    CO-OCCURRENCE CONSISTENCY ANALYSIS METHOD AND APPARATUS FOR FINDING PREDICTIVE VARIABLE GROUPS
    9.
    发明申请
    CO-OCCURRENCE CONSISTENCY ANALYSIS METHOD AND APPARATUS FOR FINDING PREDICTIVE VARIABLE GROUPS 有权
    共同一致性分析方法和发现预测变量组的装置

    公开(公告)号:US20100057509A1

    公开(公告)日:2010-03-04

    申请号:US12202933

    申请日:2008-09-02

    IPC分类号: G06Q10/00

    CPC分类号: G06Q10/10

    摘要: A method of modeling includes quantifying a co-operative strength value for a plurality of pairs of variables, and identifying a clique of at least three variables based on a graph of the co-operative strength values of a plurality of pairs of variables. The method also includes selecting a first pair of variables of the plurality of pairs of variables having a high co-operative strength value. A second clique may also be identified. A model of the first clique and a model of the second clique are made. The outputs of these models are combined to form a combined model which is used to make various decisions with respect to real time data.

    摘要翻译: 建模方法包括量化多对变量对的合作强度值,并且基于多对变量对的合作强度值的图来识别至少三个变量的集团。 该方法还包括选择具有高合作强度值的多对变量对的第一对变量。 也可以识别第二集团。 制作第一集团的模型和第二集团的模型。 这些模型的输出被组合以形成用于对实时数据做出各种决定的组合模型。

    INCREMENTAL FACTORIZATION-BASED SMOOTHING OF SPARSE MULTI-DIMENSIONAL RISK TABLES
    10.
    发明申请
    INCREMENTAL FACTORIZATION-BASED SMOOTHING OF SPARSE MULTI-DIMENSIONAL RISK TABLES 有权
    稀疏多维风险表的基于加速制造的平滑

    公开(公告)号:US20090327132A1

    公开(公告)日:2009-12-31

    申请号:US12163688

    申请日:2008-06-27

    IPC分类号: G06Q40/00

    摘要: A system for classifying a transaction as fraudulent includes a training component and a scoring component. The training component acts on historical data and also includes a multi-dimensional risk table component comprising one or more multidimensional risk tables each of which approximates an initial risk value for a substantially empty cell in a risk table based upon risk values in cells related to the substantially empty cell. The scoring component produces a score, based in part, on the risk tables associated with groupings of variables having values determined by the training component. The scoring component includes a statistical model that produces an output and wherein the transaction is classified as fraudulent when the output is above a selected threshold value.

    摘要翻译: 将交易分类为欺诈的系统包括训练组件和评分组件。 培训组件作用于历史数据,并且还包括多维风险表组件,其包括一个或多个多维风险表,每个风险表基于与风险表相关的单元中的风险值近似于风险表中基本上为空的单元格的初始风险值 基本上空的单元格。 评分部分产生一个分数,部分基于与具有由训练组件确定的值的变量分组相关联的风险表。 评分组件包括产生输出的统计模型,并且其中当输出高于所选择的阈值时,交易被分类为欺诈。