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公开(公告)号：US20160162543A1
公开(公告)日：2016-06-09
申请号：US14733693
申请日：2015-06-08
Applicant: General Electric Company
Inventor： Steven Matt Gustafson , Abha Moitra , Kareem Sherif Aggour , Luis Babaji Ng Tari , Aisha Yousuf
IPC: G06F17/30
CPC classification number: G06F17/30448 , G06F17/30353 , G06F17/30477 , G06F17/30548 , G06Q50/00
Abstract: A system and method for searching for and finding data across industrial time-series data is disclosed. A computer system receives a search query from a client system. The computer system accesses a database including a plurality of stored time-series data sets. For each stored time-series data set, the computer system determines whether the stored time-series data set includes one or more sections that match the received search query. In accordance with a determination that two or more of stored time-series data sets include at least one section that matches the received search query, the computer system determines whether the matching sections in each stored time-series data set have overlapping time periods. In accordance with a determination that the matching sections in each time-series data set have overlapping time periods, the computer system identifies a particular event that occurred during the overlapping time periods.
Abstract translation: 公开了一种用于在工业时间序列数据中搜索和查找数据的系统和方法。 计算机系统从客户端系统接收搜索查询。 计算机系统访问包括多个存储的时间序列数据集的数据库。 对于每个存储的时间序列数据集，计算机系统确定所存储的时间序列数据集是否包括与所接收的搜索查询匹配的一个或多个部分。 根据存储的时间序列数据集中的两个或更多个包括与所接收的搜索查询匹配的至少一个部分的确定，计算机系统确定每个存储的时间序列数据集中的匹配部分是否具有重叠的时间段。 根据每个时间序列数据集中的匹配部分具有重叠时间段的确定，计算机系统识别在重叠时间段期间发生的特定事件。
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2.发明申请SYSTEM AND METHODS FOR QUANTIZATION AND FEATURIZATION OF TIME-SERIES DATA 审中-公开用于时间序列数据的定量和特征的系统和方法公开(公告)号：US20160110478A1
公开(公告)日：2016-04-21
申请号：US14517485
申请日：2014-10-17
Applicant: General Electric Company
Inventor： Kareem Sherif Aggour , Andrew Walter Crapo , Abha Moitra , Steven Matt Gustafson
CPC classification number: G06F16/904 , G06F17/40
Abstract: Embodiments allow blocking and featurization of time-series data gathered from at least one sensor. The input time-series data is divided into blocks with common attributes (features) according to feature models that describe patterns in the data. The blocks may be overlapping or non-overlapping. The resultant feature blocks are annotated with feature information and semantic meaning. The feature blocks can be indexed to facilitate semantic search of the data. Feature blocks may be further analyzed to create semantic blocks that incorporate semantic meaning and features for multiple feature blocks, sensors and/or related time-series data. The semantic blocks can also be indexed to facilitate semantic search of the data.
Abstract translation: 实施例允许从至少一个传感器收集的时间序列数据的阻塞和特征化。 根据描述数据中的模式的特征模型，输入时间序列数据被划分为具有共同属性（特征）的块。 块可以是重叠的或不重叠的。 所得到的特征块用特征信息和语义来注释。 特征块可以索引，以便于数据的语义搜索。 可以进一步分析特征块以创建包含多个特征块，传感器和/或相关时间序列数据的语义和特征的语义块。 语义块也可以索引，以便于数据的语义搜索。
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公开(公告)号：US20180137424A1
公开(公告)日：2018-05-17
申请号：US15354235
申请日：2016-11-17
Applicant: GENERAL ELECTRIC COMPANY
CPC classification number: G06N5/022 , G06F16/9024
Abstract: Examples relate to systems for authoring and executing predictive models. A computer system includes a model development context analyzer configured to store a set of derived modeling knowledge generated at least in part from a plurality of modeling operations performed using at least a first predictive model authoring tool. The system is configured to, receive a modeling context indicating at least a modeling operation being performed, determine, from the modeling context, at least one element of an ontology, the ontology defining at least one attribute of a plurality of modeling operations, query the set of derived modeling knowledge using the at least one element of the ontology to identify at least one record of the set of derived modeling knowledge associated with the at least one element of the ontology, identify at least one suggested model parameter associated with the modeling context, and provide the at least one suggested model parameter.
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公开(公告)号：US20180129941A1
公开(公告)日：2018-05-10
申请号：US15347887
申请日：2016-11-10
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Steven Matt Gustafson , Kareem Sherif Aggour , Paul Edward Cuddihy , Alfredo Gabaldon Royval , Justin DeSpenza McHugh , Luis Babaji Ng Tari
CPC classification number: G06N5/02 , G06F16/90335 , G06Q10/04
Abstract: Some embodiments are directed to systems for authoring predictive models. An embodiment includes a computer system implementing a development environment for generating predictive models. The predictive model authoring tool is configured to perform a modeling operation based on one or more user inputs provided to interface controls of the predictive model authoring tool, determine a modeling context for the modeling operation, log the one or more user inputs, generate a predictive model based on one or more model parameters defined during the modeling operation, link the predictive model to an asset, such that one or more sets of data received from the asset are provided to the predictive model during execution of the predictive model, cause the predictive model to be executed such that the predictive model receives data from the asset, and provide the modeling context, the one or more user inputs, and the one or more model parameters.
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5.发明申请INFLUENCER ANALYZER PLATFORM FOR SOCIAL AND TRADITIONAL MEDIA DOCUMENT AUTHORS 审中-公开社会和传统媒体文件作者的影响力分析平台公开(公告)号：US20150348216A1
公开(公告)日：2015-12-03
申请号：US14290429
申请日：2014-05-29
Applicant: General Electric Company
Inventor： Steven Matt Gustafson , Dongrui Wu
CPC classification number: G06Q50/01 , G06Q30/0201
Abstract: According to some embodiments, an influencer analyzer platform may access a document database storing documents associated with various social and traditional media sources, each document being associated with an author. A first influencer score may be calculated for a selected author based on a first algorithm and the documents in the document database. Similarly, a second influencer score may be calculated for the selected author based on a second algorithm, different than the first algorithm, and the documents in the document database. An overall influencer score may then be calculated based on the first influencer score adjusted by a first weighing value and the second influencer score adjusted by a second weighing value.
Abstract translation: 根据一些实施例，影响者分析器平台可以访问存储与各种社会和传统媒体源相关联的文档的文档数据库，每个文档与作者相关联。 可以基于第一算法和文档数据库中的文档为所选作者计算第一影响者得分。 类似地，可以基于与第一算法不同的第二算法和文档数据库中的文档来为所选作者计算第二影响者得分。 然后可以基于由第一称重值调整的第一影响者得分和通过第二称重值调整的第二影响者得分来计算整体影响者得分。
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Patent Agency Ranking
6.发明申请公开(公告)号：US20140324908A1
公开(公告)日：2014-10-30
申请号：US13872868
申请日：2013-04-29
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Michael Evans Graham , Andrew Walter Crapo , Abha Moitra , Gerald Bowden Wise , Steven Matt Gustafson , Victor Manuel Perez-Zarate , Luis Babaji Ng Tari
IPC: G06F17/30
CPC classification number: G06F16/215
Abstract: The present disclosure relates to the use of both semantic analysis and statistical text mining to process data records, improving the completeness and accuracy of records so processed. By way of example, a data record may be iteratively processed by text mining using seeds derived from a semantic template and by validating the results based on semantic reasoning based on the semantic template.
Abstract translation: 本公开涉及使用语义分析和统计文本挖掘来处理数据记录，提高如此处理的记录的完整性和准确性。 作为示例，可以通过使用从语义模板导出的种子的文本挖掘来迭代地处理数据记录，并且基于基于语义模板的语义推理来验证结果。
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7.发明申请SYSTEMS AND METHODS FOR REFERRING PHYSICIANS BASED ON HIERARCHICAL DISEASE PROFILE MATCHING 审中-公开基于分层疾病剖面匹配的引导医师的系统与方法公开(公告)号：US20130197926A1
公开(公告)日：2013-08-01
申请号：US13800421
申请日：2013-03-13
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Steven Matt Gustafson , Matthew Cardoso
IPC: G06Q50/22
CPC classification number: G06Q50/22 , G06Q30/0631 , G06Q50/24
Abstract: Systems, apparatus, and methods for referring physicians based on hierarchical disease profile matching are disclosed. An example system includes a data store to include a plurality of disease profiles, each disease profile associated with a patient condition, a user interface to accept a user request for a referral of a patient to a physician, and a referral processor to compare a profile associated with the patient including a patient symptom to the plurality of disease profiles to generate one or more physician recommendations for referral, the referral processor to refine the one or more physician recommendations based on one or more characteristics associated with each of the one or more physician recommendations, the referral processor to provide the refined one or more physician recommendations to a user for review and selection via the user interface.
Abstract translation: 公开了基于分级疾病特征匹配的用于转诊医师的系统，装置和方法。 示例性系统包括数据存储器以包括多个疾病简档，与患者状况相关联的每个疾病简档，用于接受患者向医师转诊的用户请求的用户界面，以及用于比较概况 与所述患者相关联，包括所述多个疾病概况的患者症状以产生用于转诊的一个或多个医师建议，所述转诊处理器基于与所述一个或多个医师中的每一个相关联的一个或多个特征来细化所述一个或多个医师建议 建议，推荐处理器，以经由用户界面向用户提供经过修改的一个或多个医师建议以进行审查和选择。
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公开(公告)号：US10970634B2
公开(公告)日：2021-04-06
申请号：US15347887
申请日：2016-11-10
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Steven Matt Gustafson , Kareem Sherif Aggour , Paul Edward Cuddihy , Alfredo Gabaldon Royval , Justin Despenza McHugh , Luis Babaji Ng Tari
Abstract: Some embodiments are directed to systems for authoring predictive models. An embodiment includes a computer system implementing a development environment for generating predictive models. The predictive model authoring tool is configured to perform a modeling operation based on one or more user inputs provided to interface controls of the predictive model authoring tool, determine a modeling context for the modeling operation, log the one or more user inputs, generate a predictive model based on one or more model parameters defined during the modeling operation, link the predictive model to an asset, such that one or more sets of data received from the asset are provided to the predictive model during execution of the predictive model, cause the predictive model to be executed such that the predictive model receives data from the asset, and provide the modeling context, the one or more user inputs, and the one or more model parameters.
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公开(公告)号：US10078664B2
公开(公告)日：2018-09-18
申请号：US14733693
申请日：2015-06-08
Applicant: General Electric Company
Inventor： Steven Matt Gustafson , Abha Moitra , Kareem Sherif Aggour , Luis Babaji Ng Tari , Aisha Yousuf
CPC classification number: G06F16/24534 , G06F16/2322 , G06F16/2455 , G06F16/2474 , G06Q50/00
Abstract: A system and method for searching for and finding data across industrial time-series data is disclosed. A computer system receives a search query from a client system. The computer system accesses a database including a plurality of stored time-series data sets. For each stored time-series data set, the computer system determines whether the stored time-series data set includes one or more sections that match the received search query. In accordance with a determination that two or more of stored time-series data sets include at least one section that matches the received search query, the computer system determines whether the matching sections in each stored time-series data set have overlapping time periods. In accordance with a determination that the matching sections in each time-series data set have overlapping time periods, the computer system identifies a particular event that occurred during the overlapping time periods.
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公开(公告)号：US20180129959A1
公开(公告)日：2018-05-10
申请号：US15347844
申请日：2016-11-10
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Steven Matt Gustafson , Kareem Sherif Aggour , Alfredo Gabaldon Royval , Varish Vyankatesh Mulwad
Abstract: Examples relate to systems for authoring and executing predictive models. A computer system includes a model development context analyzer configured to store a set of derived modeling knowledge generated at least in part from a plurality of modeling operations performed using at least a first predictive model authoring tool. The system is configured to, receive a modeling context indicating at least a modeling operation being performed, determine, from the modeling context, at least one element of an ontology, the ontology defining at least one attribute of a plurality of modeling operations, query the set of derived modeling knowledge using the at least one element of the ontology to identify at least one record of the set of derived modeling knowledge associated with the at least one element of the ontology, identify at least one suggested model parameter associated with the modeling context, and provide the at least one suggested model parameter.
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