Predicting the class of future customer calls in a call center
    1.
    发明授权
    Predicting the class of future customer calls in a call center 有权
    在呼叫中心预测未来客户呼叫的类别

    公开(公告)号:US09036806B1

    公开(公告)日:2015-05-19

    申请号:US14470186

    申请日:2014-08-27

    Abstract: A system and method for predicting the class of future customer calls to a call center. Saved call data is analyzed using a robust tokenizer of a computerized device. The tokenizer transforms a sequence of characters in a call summary field of the saved call data into a sequence of tokens. Tokenized call data is produced. Multiple maximum entropy (MaxEnt) models are created based on the tokenized call data, using the computerized device. The MaxEnt models produce a probability distribution of all classes for a next call to a call center. A conditional random field (CRF) classifier is trained with the MaxEnt models and information from the saved call data, using the computerized device. The CRF classifier uses chronologically ordered sequences of prior calls to the call center and predicts a class for a new call to the call center based on the saved call data. A call class prediction is produced for the new call received from a returning customer based on the CRF classifier and the MaxEnt model.

    Abstract translation: 一种用于预测未来客户呼叫到呼叫中心的类别的系统和方法。 使用计算机化设备的鲁棒标记器来分析保存的呼叫数据。 令牌器将保存的呼叫数据的调用摘要字段中的一系列字符转换成令牌序列。 产生令牌化呼叫数据。 使用计算机化设备,基于令牌化呼叫数据创建多个最大熵(MaxEnt)模型。 MaxEnt模型产生下一次呼叫呼叫中心的所有类的概率分布。 使用计算机化设备,使用MaxEnt模型和来自保存的呼叫数据的信息来训练条件随机场(CRF)分类器。 CRF分类器使用对呼叫中心的先前呼叫的按时间顺序排序的序列,并且基于保存的呼叫数据预测用于呼叫中心的新呼叫的类。 基于CRF分类器和MaxEnt模型,为从返回的客户接收的新呼叫生成呼叫类预测。

    AUTOMATICALLY ENHANCED VISUAL PROCESS REPAIR USING PROCESS SUPERPOSITION AND UGLINESS INDICATORS
    2.
    发明申请
    AUTOMATICALLY ENHANCED VISUAL PROCESS REPAIR USING PROCESS SUPERPOSITION AND UGLINESS INDICATORS 有权
    自动增强视觉过程维修使用过程监控和无污染指标

    公开(公告)号:US20150294229A1

    公开(公告)日:2015-10-15

    申请号:US14252172

    申请日:2014-04-14

    Abstract: The present invention generally relates to systems and methods for visual process analysis. The disclosed techniques can include: obtaining a theoretical and an empirical process model, generating a theoretical process layout corresponding to the theoretical process model, where the theoretical process layout is generated using a layout algorithm, generating an empirical process layout corresponding to the empirical process model, where the empirical process layout is generated using the layout algorithm, superposing the empirical process layout onto the theoretical process layout, such that a superposition layout is generated, annotating the superposition layout based on ugliness indicators, such that an annotated superposition layout is generated, and causing the annotated superposition layout to be displayed.

    Abstract translation: 本发明一般涉及视觉过程分析的系统和方法。 所公开的技术可以包括:获得理论和经验过程模型,产生对应于理论过程模型的理论过程布局,其中使用布局算法生成理论过程布局,生成对应于经验过程模型的经验过程布局 ,其中使用布局算法生成经验过程布局,将经验过程布局叠加到理论过程布局上,使得生成叠加布局,基于丑恶指示符注释叠加布局,使得产生注释叠加布局, 并引起注释叠加布局的显示。

    METHOD AND SYSTEM FOR CLUSTERING, MODELING, AND VISUALIZING PROCESS MODELS FROM NOISY LOGS
    3.
    发明申请
    METHOD AND SYSTEM FOR CLUSTERING, MODELING, AND VISUALIZING PROCESS MODELS FROM NOISY LOGS 有权
    用于从噪声记录中聚类,建模和可视化过程模型的方法和系统

    公开(公告)号:US20150142707A1

    公开(公告)日:2015-05-21

    申请号:US14081203

    申请日:2013-11-15

    CPC classification number: G06N99/005

    Abstract: A process discovery system that includes an offline system training module configured to cluster similar process log traces using Non-negative Matrix Factorization (NMF) with each cluster representing a process model, and learn a Conditional Random Field (CRF) model for each process model and an online system usage module configured to decode new incoming log traces and construct a process graph in which transitions are shown or hidden according to a tuning parameter.

    Abstract translation: 一种过程发现系统,其包括离线系统训练模块,其被配置为使用非负矩阵因子分解(NMF)来聚类相似的过程日志跟踪,每个群表示过程模型,并且为每个过程模型学习条件随机场(CRF)模型, 在线系统使用模块被配置为解码新的传入日志跟踪并构造根据调谐参数显示或隐藏转移的过程图。

    METHOD AND SYSTEM FOR ASSESSING WORKFLOW COMPATIBILITY
    4.
    发明申请
    METHOD AND SYSTEM FOR ASSESSING WORKFLOW COMPATIBILITY 审中-公开
    评估工作流兼容性的方法和系统

    公开(公告)号:US20140310054A1

    公开(公告)日:2014-10-16

    申请号:US13863594

    申请日:2013-04-16

    CPC classification number: G06Q10/0633

    Abstract: Disclosed are a method and a system for comparing established workflows against a workflow pattern to determine their degree of compatibility with this workflow pattern. In the method and system, compatibility scores between established workflows and a workflow pattern can be determined. To determine the compatibility score between a workflow pattern, which comprises first tasks, and an established workflow, which comprises second tasks, equivalent tasks in the established workflow can be identified. Then, dependency matrices can be constructed for the first tasks in the workflow pattern and the equivalent tasks in the established workflow. These dependency matrices can be compared in order to identify any dependency relation matches in corresponding task pairs. Values can be assigned to the dependency relation matches and compatibility scores can be determined based on the sum of those values.

    Abstract translation: 公开了一种用于将已建立的工作流与工作流模式进行比较以确定其与该工作流模式的兼容程度的方法和系统。 在方法和系统中,可以确定所建立的工作流程与工作流模式之间的兼容性分数。 为了确定包括第一任务的工作流模式和包括第二任务的已建立的工作流程之间的兼容性分数,可以识别所建立的工作流程中的等效任务。 然后,可以为工作流模式中的第一个任务和已建立的工作流程中的等效任务构建依赖关系矩阵。 可以比较这些依赖矩阵以便识别相应任务对中的任何依赖关系匹配。 可以将值分配给依赖关系匹配,并且可以基于这些值的总和来确定兼容性分数。

    METHODS AND SYSTEMS FOR AUTOMATED DATA CHARACTERIZATION AND EXTRACTION
    6.
    发明申请
    METHODS AND SYSTEMS FOR AUTOMATED DATA CHARACTERIZATION AND EXTRACTION 有权
    用于自动数据表征和提取的方法和系统

    公开(公告)号:US20160117387A1

    公开(公告)日:2016-04-28

    申请号:US14526109

    申请日:2014-10-28

    Abstract: A system and method for characterizing textual data by generating a first data abstraction based on a set of textual data. The first data abstraction can be presented to a user, and the user can provide instructions to make changes to the first data abstraction to generate a second data abstraction. The textual data can be extracted and characterized from the set of textual data using the second data abstraction.

    Abstract translation: 一种用于通过基于一组文本数据生成第一数据抽象来表征文本数据的系统和方法。 可以向用户呈现第一数据抽象,并且用户可以提供指令来对第一数据抽象进行更改以生成第二数据抽象。 可以使用第二数据抽象从文本数据集中提取和表征文本数据。

    Method for automated generation of minimal partitioning of a process specification for supporting its distributed execution
    7.
    发明授权
    Method for automated generation of minimal partitioning of a process specification for supporting its distributed execution 有权
    用于自动生成用于支持其分布式执行的过程规范的最小分区的方法

    公开(公告)号:US09055072B2

    公开(公告)日:2015-06-09

    申请号:US13860123

    申请日:2013-04-10

    CPC classification number: G06F9/5066

    Abstract: A process definition is partitioned for execution in a system architecture that enables the communication and meta-orchestration of multiple distributed engines. The partitioning method creates separate scripts for each group (execution engine, computer, distributed computer, etc.) where each script has the same representation as the original control flow, but keeps local services and replaces remote services with data flow messages and synchronization points. This method ensures that the resulting process has the same result as the original process executed with a single engine. Additional advantages include: the number of partitions of the process is minimized to equal to the number of distributed engines; the communication between engines is minimized to only data flow messages; there is no dependency on a specific process representation such as BPMN; and reduced implementation complexity.

    Abstract translation: 流程定义被划分为在能够进行多个分布式引擎的通信和元编排的系统架构中执行。 分区方法为每个组(执行引擎,计算机,分布式计算机等)创建单独的脚本,其中每个脚本具有与原始控制流相同的表示形式,但保留本地服务并用数据流消息和同步点替换远程服务。 该方法确保生成的过程与使用单个引擎执行的原始进程具有相同的结果。 其他优点包括:将进程的分区数量最小化为等于分布式引擎的数量; 发动机之间的通信被最小化为仅数据流消息; 没有依赖于特定的过程表示,例如BPMN; 并降低了实施复杂性。

    POLICY-AWARE CONFIGURABLE DATA REDACTION BASED ON SENSITIVITY AND USE FACTORS
    9.
    发明申请
    POLICY-AWARE CONFIGURABLE DATA REDACTION BASED ON SENSITIVITY AND USE FACTORS 有权
    基于敏感性和使用因素的政策性可配置数据删除

    公开(公告)号:US20150089357A1

    公开(公告)日:2015-03-26

    申请号:US14033831

    申请日:2013-09-23

    CPC classification number: G06F21/62 G06F17/24

    Abstract: The present invention generally relates to systems and methods for document redaction. The disclosed techniques adapt to the needs of different levels of data sensitivity and different needs for disclosure or analysis by using pre-defined templates related to use cases, and mapping those to the relative sensitivity of private data types both in their natural form and after redaction by various redaction types. In this way, data is given the appropriate level of protection within the needs of a given use case.

    Abstract translation: 本发明一般涉及用于文件编辑的系统和方法。 所公开的技术通过使用与用例相关的预定义模板,适应不同级别的数据敏感性和不同需求的披露或分析的需求,并将其映射到私有数据类型的自然形式和编制后的相对敏感性 通过各种修改类型。 以这种方式,在给定用例的需求中,数据被给予适当的保护级别。

    METHOD FOR AUTOMATED GENERATION OF MINIMAL PARTITIONING OF A PROCESS SPECIFICATION FOR SUPPORTING ITS DISTRIBUTED EXECUTION
    10.
    发明申请
    METHOD FOR AUTOMATED GENERATION OF MINIMAL PARTITIONING OF A PROCESS SPECIFICATION FOR SUPPORTING ITS DISTRIBUTED EXECUTION 有权
    用于自动生成支持其分布式执行的过程规范的自动生成方法

    公开(公告)号:US20140310328A1

    公开(公告)日:2014-10-16

    申请号:US13860123

    申请日:2013-04-10

    CPC classification number: G06F9/5066

    Abstract: A process definition is partitioned for execution in a system architecture that enables the communication and meta-orchestration of multiple distributed engines. The partitioning method creates separate scripts for each group (execution engine, computer, distributed computer, etc.) where each script has the same representation as the original control flow, but keeps local services and replaces remote services with data flow messages and synchronization points. This method ensures that the resulting process has the same result as the original process executed with a single engine. Additional advantages include: the number of partitions of the process is minimized to equal to the number of distributed engines; the communication between engines is minimized to only data flow messages; there is no dependency on a specific process representation such as BPMN; and reduced implementation complexity.

    Abstract translation: 流程定义被划分为在能够进行多个分布式引擎的通信和元编排的系统架构中执行。 分区方法为每个组(执行引擎,计算机,分布式计算机等)创建单独的脚本,其中每个脚本具有与原始控制流相同的表示形式,但保留本地服务并用数据流消息和同步点替换远程服务。 该方法确保生成的过程与使用单个引擎执行的原始进程具有相同的结果。 其他优点包括:将进程的分区数量最小化为等于分布式引擎的数量; 发动机之间的通信被最小化为仅数据流消息; 没有依赖于特定的过程表示,例如BPMN; 并降低了实施的复杂性。

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