公开(公告)号：US11216477B2

公开(公告)日：2022-01-04

申请号：US16748044

申请日：2020-01-21

Applicant: General Electric Company

Inventor： Paul Edward Cuddihy ,  Jenny Marie Weisenberg Williams ,  Kareem Sherif Aggour ,  Vijay S Kumar ,  Varish Mulwad

IPC: G06F16/30 ,  G06F16/2458 ,  G06F16/242 ,  G06F16/2453 ,  G06F16/955 ,  G06F16/22

Abstract: According to some embodiments, a system, method and non-transitory computer-readable medium are provided comprising receiving a node group at an integration module, wherein the node group includes one or more requests for internal data and external data, wherein internal data is data stored in an internal datastore and external data is data stored outside of the internal data store; identifying in a configuration data, one or more meta-data nodes from the node group, wherein each meta-data node indicates a request for external data; retrieving the internal data via execution of an internal data query; determining an order of execution for the one or more meta-data nodes; executing a first meta-data node based on the determined order to generate a first result; ingesting the first result into a semantic datastore; and executing a query to generate a final result, wherein the query includes the retrieved internal data and the ingested first result. Numerous other aspects are provided.

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

IPC: G06N5/02 ,  G06F17/30

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.

公开(公告)号：US20140172868A1

公开(公告)日：2014-06-19

申请号：US13716567

申请日：2012-12-17

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Jerry Lin ,  Kareem Sherif Aggour ,  Brian Scott Courtney ,  John Alan Interrante ,  Christina Ann LaComb ,  Sunil Mathur ,  Christopher Thomas McConnell ,  Quinn Snell

IPC: G06F17/30

CPC classification number: G06F17/30424 ,  G06F17/30545 ,  G06F17/30584

Abstract: A service for storing time series data provides a data pipe for receiving time series data, a query pipe for making requests to the service, and a result pipe for receiving output from the service. Data sent to the query pipe is processed by an ingester that prepares metadata indices associated with blocks of incoming time series data and stores the blocks of data in a time series database and the indices in a separate index database. A query layer receives queries from the query pipe and uses the index database to determine which data blocks are needed to process the query, and then requests only those data blocks from the time series database. Processing of the query is performed within the time series database only on those data nodes that contain relevant data, and partial results are passed to an output layer for formation into a final query result which is sent out by the results pipe.

Abstract translation: 用于存储时间序列数据的服务提供用于接收时间序列数据的数据管道，用于对服务进行请求的查询管道以及用于从服务接收输出的结果管道。 发送到查询管道的数据由一个准备与输入时间序列数据块相关联的元数据索引并且将数据块存储在时间序列数据库中的索引进行处理，并将索引存储在单独的索引数据库中。 查询层从查询管道接收查询，并使用索引数据库来确定处理查询需要哪些数据块，然后仅从时间序列数据库中请求那些数据块。 在时间序列数据库中仅在包含相关数据的那些数据节点上执行查询的处理，并将部分结果传递到输出层以形成结果管道发送的最终查询结果。

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

IPC: G06N5/02 ,  G06N20/00 ,  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.

公开(公告)号：US10606953B2

公开(公告)日：2020-03-31

申请号：US15836064

申请日：2017-12-08

Applicant: General Electric Company

Inventor： Varish Vyankatesh Mulwad ,  Kareem Sherif Aggour

IPC: G06F17/21 ,  G06F17/27 ,  G06F16/38 ,  G06N5/00

Abstract: According to some embodiments, a system and method are provided to extract relationships from unstructured text documents. The method comprises receiving a training set of sentences that comprise labeled objects and subjects for creating an initial relationship model. A set of unlabeled sentences may be received. Objects and subjects from the set of unlabeled sentences are determined based on the initial model and the determined objects and subjects from the set of unlabeled sentences are displayed to a user for feedback and approval. An indication of whether the determined objects and subjects from the set of unlabeled sentences are correct is received and the initial relationship model is updated based on the received indication.

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

IPC: G06F17/30 ,  G06Q50/00

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.

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

IPC: G06N7/00 ,  G06N99/00

CPC classification number: G06N20/00 ,  G06N5/022

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.

公开(公告)号：US09870295B2

公开(公告)日：2018-01-16

申请号：US14335315

申请日：2014-07-18

Applicant: General Electric Company

Inventor： Christina Ann Leber ,  John A. Interrante ,  Kareem Sherif Aggour ,  Jenny Marie Weisenberg Williams

IPC: G06F9/48 ,  G06F11/34 ,  G06F11/14 ,  G06F9/46

CPC classification number: G06F11/34 ,  G06F9/46 ,  G06F11/00 ,  G06F11/1466

Abstract: A system includes a processor and a non-transitory computer-readable medium. The non-transitory computer-readable medium comprises instructions executable by the processor to cause the system to perform a method. The method comprises receiving a first job to execute and executing the first job. A plurality of data associated with the first job is determined. The plurality of data comprises data associated with (i) a second job executed immediately prior to the first job, (ii) a third job executed immediately after the first job, (iii) a determination of whether the first job failed or executed successfully and (iv) a type of data associated with the first job. The determined plurality of data is stored.

公开(公告)号：US20150356485A1

公开(公告)日：2015-12-10

申请号：US14297351

申请日：2014-06-05

Applicant: General Electric Company

Inventor： Kareem Sherif Aggour ,  Jenny Marie Weisenberg Williams

IPC: G06Q10/06 ,  G06F17/30

CPC classification number: G06Q10/06316

Abstract: Methods and systems for optimizing the configuration and parameters of a workflow using an evolutionary approach augmented with intelligent learning capabilities using a Big Data infrastructure. In an embodiment, a Big Data infrastructure receives workflow input parameters, an objective function, a pool of initial configuration parameters, and completion criteria from a client computer, and then runs multiple instances of a workflow based on the pool of initial configuration parameters resulting in corresponding output results. The process includes storing the workflow input parameters and the corresponding output results, modeling the relationship between changes in the workflow input parameters and the corresponding output results, determining that optimal output results have been achieved, and then transmitting the optimal output and the input-output variable relationships results to the client computer.

Abstract translation: 使用进化方法优化工作流的配置和参数的方法和系统使用大数据基础设施增强了智能学习能力。 在一个实施例中，大数据基础设施从客户端计算机接收工作流输入参数，目标函数，初始配置参数池和完成标准，然后基于初始配置参数池运行工作流的多个实例，从而导致 相应的输出结果。 该过程包括存储工作流输入参数和相应的输出结果，建模工作流输入参数变化与相应输出结果之间的关系，确定已达到最佳输出结果，然后传输最佳输出和输入输出 可变关系导致客户端计算机。

公开(公告)号：US09152671B2

公开(公告)日：2015-10-06

申请号：US13716554

申请日：2012-12-17

Applicant: General Electric Company

Inventor： Jerry Lin ,  Kareem Sherif Aggour ,  Brian Scott Courtney ,  John Alan Interrante ,  Christina Ann LaComb ,  Sunil Mathur ,  Christopher Thomas McConnell ,  Quinn Snell

IPC: G06F17/30

CPC classification number: G06F17/30551 ,  G06F17/30336 ,  G06F17/30424 ,  G06F17/30477 ,  G06F17/30545 ,  G06F17/30584

Abstract: A system for storing time series data includes an ingester that prepares metadata indices associated with blocks of incoming time series data and stores the blocks of data in a time series database and the indices in a separate index database. The time series database distributes storage of the data blocks among multiple data nodes. A query layer receives queries and uses the index database to determine which data blocks are needed to process the query, and then requests only those data blocks from the time series database. Processing of the query is performed within the time series database only on those data nodes that contain relevant data, and partial results are passed to an output layer for formation into a final query result.

Abstract translation: 用于存储时间序列数据的系统包括准备与输入的时间序列数据的块相关联的元数据索引并且将数据块存储在时间序列数据库中并且索引存储在单独的索引数据库中的创建器。 时间序列数据库在多个数据节点之间分配数据块的存储。 查询层接收查询并使用索引数据库来确定处理查询需要哪些数据块，然后仅从时间序列数据库中请求那些数据块。 查询的处理仅在时间序列数据库中仅在包含相关数据的那些数据节点上执行，部分结果将传递到输出层以形成最终查询结果。