CONTINUOUS OPTIMIZATION OF HUMAN-ALGORITHM COLLABORATION PERFORMANCE

    公开(公告)号:US20220391732A1

    公开(公告)日:2022-12-08

    申请号:US17338994

    申请日:2021-06-04

    摘要: An approach is provided in which the approach computes a set of thresholds corresponding to a set of decision performances relative to a set of classifier confidence scores. The set of decision performances include a set of user decision performances, a set of classifier decision performances, and a set of augmented decision performances. The approach selects one of the collaboration levels based on comparing the set of thresholds to a new confidence score of a new decision. The approach collaborates with a user at the selected collaboration level to generate a final decision.

    Handling Process Instance Migration In Business Process Management
    3.
    发明申请
    Handling Process Instance Migration In Business Process Management 审中-公开
    处理业务流程管理中的流程实例迁移

    公开(公告)号:US20150310357A1

    公开(公告)日:2015-10-29

    申请号:US14647862

    申请日:2013-12-04

    IPC分类号: G06Q10/06

    摘要: Process instance migration from a former process model to a new process model. A former process model and a new process model and their data models are analyzed to extract a process delta object model relating to changes in the new process model on which to define migration rules. One or more existing process instances are analyzed, and process instances whose current state has passed the changes in the new process model are retained. Candidate activities of the retained process instances, a set of conditions for the candidate activities, and a set of actions to be taken if a condition is met are generated. The generated set of conditions and set of actions may be presented to a user enabling the user to combine conditions and actions to produce a process instance migration program in the form of a set of rules.

    摘要翻译: 从前一个流程模型到新流程模型的流程实例迁移。 分析前过程模型和新流程模型及其数据模型,以提取与定义迁移规则的新流程模型中的变更相关的流程增量对象模型。 分析一个或多个现有流程实例,并保留当前状态已通过新流程模型中更改的流程实例。 保留的流程实例的候选活动,候选活动的一套条件以及如果满足条件,将采取一系列措施。 生成的一组条件和一组动作可以呈现给用户,使得用户能够组合条件和动作,以一组规则的形式产生流程实例迁移程序。

    TRANSFORMATION OF A SOURCE MODEL TO A TARGET MODEL
    4.
    发明申请
    TRANSFORMATION OF A SOURCE MODEL TO A TARGET MODEL 有权
    将源模型转换为目标模型

    公开(公告)号:US20130144829A1

    公开(公告)日:2013-06-06

    申请号:US13688462

    申请日:2012-11-29

    IPC分类号: G06N5/02

    CPC分类号: G06N5/02

    摘要: An aspect of the invention includes transforming a source model to a target model. A source model is received and a transformation specification that includes a set of rules is accessed. Each rule includes a pattern description and a production component. The pattern description includes a pattern in the source model and the production component includes an algorithm for generating an output in the target model from the pattern. For each expression in the source model, the expression is decomposed into sub-expressions, matching rules in the transformation specification for the expression and the sub-expressions are detected, one of the matching rules having the most specific pattern description is selected, and the production component of the selected rule is executed to generate the output in the target model. The target model is created from the generated output.

    摘要翻译: 本发明的一个方面包括将源模型转换为目标模型。 接收源模型,并访问包含一组规则的变换规范。 每个规则包括模式描述和生产组件。 模式描述包括源模型中的模式,并且生产组件包括用于从模式生成目标模型中的输出的算法。 对于源模型中的每个表达式,表达式被分解为子表达式,表达式的转换规范中的匹配规则被检测,并且检测到子表达式,选择具有最特定模式描述的匹配规则之一,并且 执行所选规则的生产组件以在目标模型中生成输出。 目标模型是从生成的输出创建的。

    Data plot processing
    5.
    发明授权

    公开(公告)号:US10825235B2

    公开(公告)日:2020-11-03

    申请号:US16453307

    申请日:2019-06-26

    摘要: A method, system, and/or computer program product processes a data plot comprising a plurality of data points for inclusion of additional information content. A space of the data plot is divided into subspaces, where each subspace contains at least one data point of the data plot. A compressed information representation for each subspace is computed based on information about said at least one data point contained in said each subspace. The data plot is displayed with the compressed information representation for said each subspace, where each unit of compressed information is displayed, on a display, adjacent to a corresponding group of data points from the data plot.

    Assertions in a business rule management system

    公开(公告)号:US10423517B2

    公开(公告)日:2019-09-24

    申请号:US15610591

    申请日:2017-05-31

    IPC分类号: G06F11/36 G06F9/445

    摘要: Embodiments of the present invention provide a method, system and computer program product for assertion management in a dynamically assembled programmatic environment. In an embodiment of the invention, a method for assertion management in a dynamically assembled programmatic environment can include dynamically assembling different execution units into a dynamically assembled computer program, applying an assertion to at least one of the different execution units through an introspection of the one of the different execution units, and generating an assertion result reporting a failure of the assertion responsive to the failure of the assertion.

    SHARING AND EXECUTING SENSITIVE LOGIC SEMANTICS
    7.
    发明申请
    SHARING AND EXECUTING SENSITIVE LOGIC SEMANTICS 有权
    分享和执行敏感逻辑语义

    公开(公告)号:US20160328544A1

    公开(公告)日:2016-11-10

    申请号:US15214539

    申请日:2016-07-20

    IPC分类号: G06F21/14

    摘要: Obfuscating denotational logic in a source program. A non-rule-based object oriented source program is received. The source program is transformed into a rule-based source program that includes an object model and a ruleset. Attribute domains of the rule-based source program are characterized by a structure of their values in which the structure of the values is nominal, ordered, interval, or ratio. A minimum cardinality is calculated for each domain attribute. First domain attributes are randomly mapped to second domain attributes, each second domain attribute having the same value structure and a same or higher cardinality as the corresponding first domain attribute. For each randomly mapped pair a domain range of the first domain attribute is mapped to a domain range of the second domain attribute. In the rule-based source program first domain input fields and values are replaced with the respective second domain input fields and values.

    摘要翻译: 在源程序中混淆指称逻辑。 接收基于非规则的面向对象的源程序。 源程序被转换为包含对象模型和规则集的基于规则的源程序。 基于规则的源程序的属性域的特征在于其值的结构,其中值的结构是名义,有序,间隔或比率。 计算每个域属性的最小基数。 第一域属性被随机映射到第二域属性,每个第二域属性具有与相应的第一域属性相同的值结构和相同或更高的基数。 对于每个随机映射的对,第一域属性的域范围被映射到第二域属性的域范围。 在基于规则的源程序中,第一个域输入字段和值将被相应的第二个域输入字段和值替代。

    Data plot processing
    8.
    发明授权

    公开(公告)号:US10395417B2

    公开(公告)日:2019-08-27

    申请号:US16040602

    申请日:2018-07-20

    摘要: A method, system, and/or computer program product processes a data plot comprising a plurality of data points for inclusion of additional information content. A space of the data plot is divided into subspaces, where each subspace contains at least one data point of the data plot. An available area on a display for each subspace is computed, and then a compressed information representation for each subspace is computed based on information about at least one data point contained in each subspace and a computed available area for each subspace. An available area of each subspace is computed based on a maximum size of a shape that can fit within each subspace. The data plot is displayed, where each unit of compressed information is displayed adjacent to a corresponding group of data points from the data plot.

    Journey time estimation
    9.
    发明授权

    公开(公告)号:US09959339B2

    公开(公告)日:2018-05-01

    申请号:US14797202

    申请日:2015-07-13

    IPC分类号: G01C21/34 G06F17/30

    摘要: Embodiments relate to calculating a journey time for a planned journey between a chosen origin and a chosen destination over a network of roads in a region. A first journey time for the journey is estimated using a route scheduling algorithm and a second journey time for the journey is estimated using selected historical journeys characterized by journey origins and destinations. The historical journeys are selected based on their vicinity to the planned journey. An error in the second journey time is calculated based on the standard deviation in the selected historical journeys. The second journey time is selected as the estimated journey time from the planned journey if this error is below a defined threshold, otherwise the first journey time is selected as the estimated journey time for the planned journey.