公开(公告)号：US20140358952A1

公开(公告)日：2014-12-04

申请号：US13906658

申请日：2013-05-31

Applicant: International Business Machines Corporation

Inventor： Samuel Scott Adams ,  Robert R. Friedlander ,  James R. Kraemer ,  Jeb R. Linton

IPC: G06F17/30

CPC classification number: G06F16/24575

Abstract: A method, computer program product and system for generating and maintaining synthetic context events. The steps include searching a data structure of synthetic context-based objects and associated data for a pattern of context exhibited at a first specified frequency within a first specified time period; combining the synthetic context-based objects and associated data exhibiting the pattern of context exhibited at the first specified frequency within the first specified time period into a synthetic context event; and optimizing and maintaining the synthetic context event by searching the data structure for additional synthetic context-based objects and associated data exhibiting a same pattern of context at a second specified time period different than the first specified time period and adding the additional synthetic context-based objects and associated data to the synthetic context event.

Abstract translation: 一种用于生成和维护合成上下文事件的方法，计算机程序产品和系统。 所述步骤包括在第一指定时间段内搜索以合成的基于上下文的对象的数据结构和用于在第一指定频率处呈现的上下文的模式的关联数据; 将合成的基于上下文的对象和表现出在第一指定时间段内的第一指定频率处呈现的上下文模式的相关联的数据组合成合成上下文事件; 以及通过在与所述第一指定时间段不同的第二指定时间段内搜索所述数据结构以寻找附加的合成基于上下文的对象和呈现相同模式的上下文的相关联数据来优化和维护所述合成上下文事件，并且添加所述附加合成基于上下文 对象和关联数据到合成上下文事件。

公开(公告)号：US20140324735A1

公开(公告)日：2014-10-30

申请号：US13869190

申请日：2013-04-24

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Samuel Scott Adams ,  Robert R. Friedlander ,  James R. Kraemer ,  Philip R. Varker

IPC: G06Q30/02

CPC classification number: G06Q30/0283

Abstract: A method, system and computer program product for maximizing the utility of data obtained from multiple intersecting data structures and stored in a multi-dimension information space. The method includes the steps of generating a rigid mathematical structure within the multi-dimensional information space; dividing the rigid mathematical structure into segments, each segment having a volume determined by a time of access to the segment relative to an event, a duration of access to the segment and a quantity of data in the segment; and determining a sellable price point for each segment of the rigid mathematical structure based on the volume of the segment.

Abstract translation: 一种用于最大化从多个相交数据结构获得并存储在多维信息空间中的数据的效用的方法，系统和计算机程序产品。 该方法包括在多维信息空间内产生刚性数学结构的步骤; 将刚性数学结构划分为段，每个段具有由相对于事件访问段的时间确定的卷，访问段的持续时间和段中的数据量; 以及基于所述段的体积来确定所述刚性数学结构的每个段的可销售价格点。

公开(公告)号：US20140236990A1

公开(公告)日：2014-08-21

申请号：US13770025

申请日：2013-02-19

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Tom Deutsch ,  Robert R. Friedlander ,  James R. Kraemer ,  Josko Silobrcic

IPC: G06F19/26

CPC classification number: G16B50/00 ,  G16B30/00

Abstract: A method, system and computer program product for reducing an amount of data representing a genetic sequence of an organism using a Hadoop type distributed file system. The method including the steps of breaking a surprisal data filter and an uncompressed genetic sequence into blocks of data of a fixed size; distributing the blocks of data to the plurality of worker nodes within the clusters and replicating the blocks of data within each of the worker nodes; tasking the plurality of worker nodes to perform a map job comprising mapping the surprisal data filter relative to the uncompressed genetic sequence; and when a worker node has reported a completion of the map job, tasking the worker node with a reduce job based on a specific key to an output of surprisal data and associated metadata.

Abstract translation: 一种用于使用Hadoop类型分布式文件系统减少表示生物体的遗传序列的数据量的方法，系统和计算机程序产品。 该方法包括以下步骤：将惊奇的数据滤波器和未压缩的遗传序列分解成固定大小的数据块; 将数据块分配到群集内的多个工作节点并复制每个工作节点内的数据块; 对所述多个工作节点进行任务以执行地图作业，所述地图作业包括相对于所述未压缩遗传序列映射所述惊奇数据过滤器; 并且当工作者节点报告了地图作业的完成时，基于特定密钥对工作节点的任务进行减少作业以输出惊奇的数据和关联的元数据。

公开(公告)号：US20140236977A1

公开(公告)日：2014-08-21

申请号：US13852288

申请日：2013-03-28

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Thomas W. Deutsch ,  Robert R. Friedlander ,  James R. Kraemer ,  Josko Silobrcic

IPC: G06F17/30

CPC classification number: G06F16/90 ,  G16B20/00 ,  G16B50/00

Abstract: A method, system and computer program product for reducing an amount of epigenetic data representing epigenetic modifications of a genetic sequence of an organism using a Hadoop type distributed file system. The method including the steps of breaking epigenetic data and a reference epigenetic map into blocks of data of a fixed size; distributing the blocks of data to the plurality of worker nodes within the clusters and replicating the blocks of data within each of the worker nodes; tasking the plurality of worker nodes to perform a map job comprising mapping the reference epigenetic map relative to the epigenetic data; and when a worker node has reported a completion of the map job, tasking the worker node with a reduce job based on a specific key to an output of epigenetic surprisal data and associated metadata.

Abstract translation: 一种用于使用Hadoop型分布式文件系统减少代表生物遗传序列的表观遗传修饰的表观遗传学数据量的方法，系统和计算机程序产品。 该方法包括将表观遗传数据和参考表观遗传图分解成固定大小的数据块的步骤; 将数据块分配到群集内的多个工作节点并复制每个工作节点内的数据块; 对所述多个工作节点进行任务以执行地图作业，其包括相对于所述表观遗传数据映射所述参考表观遗传图; 并且当工作节点已经报告了地图作业的完成时，基于表观遗传意外数据和相关联的元数据的输出的特定键来对具有减少作业的工作节点进行任务。

公开(公告)号：US08782777B2

公开(公告)日：2014-07-15

申请号：US13628853

申请日：2012-09-27

Applicant: International Business Machines Corporation

Inventor： Robert R. Friedlander ,  James R. Kraemer

IPC: G06F7/04 ,  G06F21/31

CPC classification number: G06F21/31 ,  G06F17/30528

Abstract: A processor-implemented method, system, and/or computer program product secures data stores. A non-contextual data object is associated with a context object to define a synthetic context-based object. The synthetic context-based object is associated with at least one specific data store in a data structure, where the specific data store contains data that is associated with data contained in the non-contextual data object and the context object. An ambiguous request is received from a user for data related to an ambiguous subject-matter. The context of the ambiguous request from the user is determined and associated with the synthetic context-based object that is associated with said a specific data store, where that specific data store contains data related to the context of a now contextual request from the user. The user is then provided access to the specific data store while blocking access to other data stores in the data structure.

Abstract translation: 处理器实现的方法，系统和/或计算机程序产品确保数据存储。 非上下文数据对象与上下文对象相关联，以定义合成的基于上下文的对象。 合成基于上下文的对象与数据结构中的至少一个特定数据存储相关联，其中特定数据存储包含与非上下文数据对象和上下文对象中包含的数据相关联的数据。 从用户那里收到与模糊主体相关的数据的模糊请求。 来自用户的模糊请求的上下文被确定并且与与特定数据存储相关联的合成基于上下文的对象相关联，其中该特定数据存储包含与来自用户的现在上下文请求的上下文有关的数据。 然后，用户被提供对特定数据存储的访问，同时阻止对数据结构中的其他数据存储的访问。

公开(公告)号：US20140156580A1

公开(公告)日：2014-06-05

申请号：US13705882

申请日：2012-12-05

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Robert R. Friedlander ,  James R. Kraemer

IPC: G06N5/04

CPC classification number: G06N5/04 ,  G06K9/6272 ,  G06N5/043 ,  H04L67/42

Abstract: A method, a system and a computer program product for determining whether a change in value of a data item relating to an entity being tracked within a cohort is statistically and contextually significant. A computer captures a plurality data items relating to the entity being tracked at a time N+1. The value of the data item at time N+1 is compared to a value of a historical data item at time N. If the value of the data item at time N+1 is different from the value of the historical data item at time N, determining that a change has occurred. If a change in a data item has occurred, determining whether the change in the data item is related to the entity being tracked is statistically and contextually significant in n space on multiple dimensions.

Abstract translation: 一种方法，系统和计算机程序产品，用于确定与队列内跟踪的实体相关的数据项的价值变化是否是统计学和上下文重要的。 计算机在N + 1时刻捕获与被跟踪的实体有关的多个数据项。 在时间N + 1处的数据项的值与时刻N的历史数据项的值进行比较。如果在时间N + 1的数据项的值不同于时间N的历史数据项的值 ，确定发生了变化。 如果发生了数据项目的更改，则确定数据项目中的更改是否与要跟踪的实体相关，在多个维度上的n空间是统计学和上下文重要的。

公开(公告)号：US08655681B2

公开(公告)日：2014-02-18

申请号：US13939620

申请日：2013-07-11

Applicant: International Business Machines Corporation

Inventor： Robert R. Friedlander ,  James R. Kraemer

IPC: G06Q10/00

CPC classification number: G06F19/3443 ,  G06F17/30309 ,  G06F17/30336 ,  G06F17/30598 ,  G06F19/00 ,  G06Q50/22 ,  G16H50/70

Abstract: A computer implemented method, system, and/or computer program product creates a suggested diagnostic test selection. A description of a current patient includes a current medical complaint, medical history, and physical examination result for the current patient. A cohort for the current patient is made up of persons who have a substantially similar medical complaint, medical history, and physical examination result as the current patient. Past diagnostic test sets used to make correct medical diagnoses for persons in the cohort are identified and stored in a cohort diagnostic test database. The past diagnostic test sets are sorted based on increasing levels of detrimental effects posed by each of the past diagnostic test sets. The sorted diagnostic test sets are then presented to a health care provider for the current patient.

Abstract translation: 计算机实现的方法，系统和/或计算机程序产品创建建议的诊断测试选择。 对当前患者的描述包括当前患者的当前医疗投诉，病史和体检结果。 目前患者的队列由与当前患者具有大致相似的医疗投诉，病史和体格检查结果的人员组成。 用于对队列中的人进行正确的医疗诊断的过去的诊断测试集被识别并存储在队列诊断测试数据库中。 过去的诊断测试集根据每个过去的诊断测试集所造成的不利影响的水平进行分类。 然后将排序的诊断测试集提供给当前患者的医疗保健提供者。

公开(公告)号：US11030035B2

公开(公告)日：2021-06-08

申请号：US16383024

申请日：2019-04-12

Applicant: International Business Machines Corporation

Inventor： Robert R. Friedlander ,  James R. Kraemer ,  Justyna M. Nowak ,  Elizabeth V. Woodward

IPC: G06F11/07

Abstract: A method prevents a cascading failure in a complex stream computer system. The method includes receiving binary data that identifies multiple subcomponents in a complex stream computer system. These identified multiple subcomponents include upstream subcomponents that generate multiple outputs and a downstream subcomponent that executes a downstream computational process that uses the multiple outputs. The method dynamically adjusts which of multiple inputs are used by the downstream subcomponent in an attempt to generate an output from the downstream subcomponent that meets a predefined trustworthiness level for making a first type of prediction. If no variations of execution of one or more functions used by the downstream subcomponent ever produce an output that meets the predefined trustworthiness level for making a first type of prediction, then computer hardware executes a new downstream computational process that produces a different second type of prediction.

公开(公告)号：US10025564B2

公开(公告)日：2018-07-17

申请号：US14951547

申请日：2015-11-25

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Robert R. Friedlander ,  John K. Gerken, III ,  James R. Kraemer ,  David M. Ungar

IPC: G06F8/34 ,  G06F3/0484

Abstract: A processor-implemented method, system, and/or computer program product generates and implements intuitively comfortable frames of task appropriate frames of reference for multiple dimensions of context constraints for related sets of objects within an integrated development environment (IDE). One or more processors identify a hierarchical set of context constraints for an object, and depict the hierarchical set of context constraints for the object on an IDE using a visual metaphor selected by a user. The processor(s) receive a zoom-in input for a first context constraint in the hierarchical set of context constraints, and place the IDE in mention mode, such that use of the hierarchical set of context constraints against the object is disabled. In response to the IDE being placed in mention mode, the processor(s) display detail of the first context constraint on the IDE, and receive changes to the first context constraint to create a modified first context constraint.

公开(公告)号：US09971838B2

公开(公告)日：2018-05-15

申请号：US14627791

申请日：2015-02-20

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Samuel S. Adams ,  Robert R. Friedlander ,  James R. Kraemer ,  Jeb R. Linton

IPC: G06F17/30 ,  G06F17/27

CPC classification number: G06F17/30867 ,  G06F17/2785

Abstract: A processor-implemented method, system, and/or computer program product mitigate subjectively disturbing content. A context-based data gravity wells membrane supports one or more gravity wells, which hold subjectively disturbing synthetic context-based objects made up of a non-contextual data object, a first context object, and a second context object. The first context object defines the non-contextual data object, and the second context object describes how subjectively disturbing content generated by combining the non-contextual data object and the first context object is according to predefined parameters described by the second context object. New content is passed across the context-based data gravity wells membrane. Subjectively disturbing content from the new content is trapped by the context-based data gravity well in response to a non-contextual data object and context objects from the new content matching those of the context-based data gravity well, thereby reducing a level of subjective discomfort imposed by the new content.