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101. 发明申请

US20170134430A1 MODIFYING SECURITY POLICIES OF RELATED RESOURCES 有权
公开(公告)号：US20170134430A1
公开(公告)日：2017-05-11
申请号：US14938218
申请日：2015-11-11
申请人： International Business Machines Corporation
发明人： Hao Feng , Shuo Li , Shengyan Sun , Jun Wang
IPC分类号： H04L29/06
CPC分类号： H04L63/20 , H04L63/1408 , H04L63/1425
摘要： A method for a managing security in a networked computing environment. The method included a processor detecting an unauthorized activity that is targeting a first computing resource. The method further includes a processor determining a first group of computing resources that includes the first computing resource. The method further includes a processor determining a first threat level for the detected unauthorized activity. The method further includes a processor identifying a first security policy of a plurality of security policies of a networked computing environment based at least in part on the determined first group of computing resources and the determined first threat level for the detected unauthorized activity.

102. 发明申请

US20170104762A1 ENCRYPTION POLICIES FOR VARIOUS NODES OF A FILE 审中-公开
公开(公告)号：US20170104762A1
公开(公告)日：2017-04-13
申请号：US14881315
申请日：2015-10-13
申请人： International Business Machines Corporation
发明人： Hao Feng , Shuo Li , ShengYan Sun , Jun Wang
IPC分类号： H04L29/06 , G06F21/62
CPC分类号： G06F21/6218 , G06F21/6227 , H04L63/105
摘要： A computing device may parse a file into a plurality of nodes. The computing device may associate, based on the parsing, at least a first encryption policy with a first node of the plurality of nodes. The computing device may associate, based on the parsing, at least a second encryption policy with a second node of the plurality of nodes. Data may be encrypted, based on the associating at least the first encryption policy with a first node, within at least the first node. Data may be encrypted, based on the associating at least a second encryption policy with a second node, within at least the second node.

103. 发明申请

US20160283735A1 PRIVACY AND MODELING PRESERVED DATA SHARING 审中-公开
标题翻译：保密和建模保存数据共享
公开(公告)号：US20160283735A1
公开(公告)日：2016-09-29
申请号：US14667163
申请日：2015-03-24
申请人： International Business Machines Corporation
发明人： Jun Wang , Jinfeng Yi
IPC分类号： G06F21/62 , G06N99/00
CPC分类号： G06N20/00 , G06F21/6254
摘要： A system, method and computer program product for generating a classification model using original data that is sensitive or private to a data owner. The method includes: receiving, from one or more entities, a masked data set having masked data corresponding to the original sensitive data, and further including a masked feature label set for use in classifying the masked data contents; forming a shared data collection of the masked data and the masked feature label sets received; and training, by a second entity, a classification model from the shared masked data and feature label sets, wherein the classification model learned from the shared masked data and feature label sets is the same as a classification model learned from the original sensitive data. The sensitive features and labels cannot be reliably recovered even when both the masked data and the learning algorithm are known.
摘要翻译：一种用于使用对数据所有者敏感或私有的原始数据生成分类模型的系统，方法和计算机程序产品。该方法包括：从一个或多个实体接收具有与原始敏感数据相对应的掩蔽数据的掩蔽数据集，并且还包括用于对掩蔽的数据内容进行分类的掩蔽特征标签集; 形成所接收的掩蔽数据和被掩蔽的特征标签集合的共享数据收集; 以及由第二实体从所述共享屏蔽数据和特征标签集合训练分类模型，其中从所述共享屏蔽数据和特征标签集中学习的分类模型与从所述原始敏感数据获得的分类模型相同。即使已知掩蔽的数据和学习算法两者，敏感特征和标签也无法可靠地恢复。

104. 发明授权

US09355105B2 Indexing of large scale patient set 有权
标题翻译：大型病人组索引
公开(公告)号：US09355105B2
公开(公告)日：2016-05-31
申请号：US13719427
申请日：2012-12-19
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Fei Wang , Jun Wang
IPC分类号： G06F17/30
CPC分类号： G06F17/30598 , G06F17/30091 , G06F17/30321 , G06F17/30327 , G06F17/30584 , G06F17/30613 , G06F17/30619 , G06F19/00 , G16H10/60 , G16H50/70
摘要： Systems and methods for indexing data include formulating an objective function to index a dataset, a portion of the dataset including supervision information. A data property component of the objective function is determined, which utilizes a property of the dataset to group data of the dataset. A supervised component of the objective function is determined, which utilizes the supervision information to group data of the dataset. The objective function is optimized using a processor based upon the data property component and the supervised component to partition a node into a plurality of child nodes.
摘要翻译：索引数据的系统和方法包括制定索引数据集的目标函数，数据集的一部分包括监督信息。确定目标函数的数据属性组件，它利用数据集的属性对数据集的数据进行分组。确定目标函数的监督分量，利用监督信息对数据集的数据进行分组。使用基于数据属性组件和监督组件的处理器对目标函数进行优化，以将节点分割成多个子节点。

105. 发明申请

US20160034554A1 LARGE-SCALE DATA CLUSTERING WITH DYNAMIC SOCIAL CONTEXT 有权
标题翻译：大规模数据聚类与动态社会语境
公开(公告)号：US20160034554A1
公开(公告)日：2016-02-04
申请号：US14448271
申请日：2014-07-31
申请人： International Business Machines Corporation
发明人： Jun Wang , Jinfeng Yi
IPC分类号： G06F17/30 , H04L29/08 , G06F17/10
CPC分类号： G06F17/30598 , G06F17/10 , G06K9/00 , G06K9/622 , G06Q30/0282 , G06Q50/00 , G06Q50/01
摘要： A system and method for dynamic, semi-supervised clustering comprises receiving data attributes, generating a set of ensemble partitions using the data attributes, forming a convex hull using the set of ensemble partitions, generating a simplex vector by performing ensemble clustering on the convex hull, receiving dynamic links, deriving an optimal simplex vector using the simplex vector and the dynamic links, computing a current optimal clustering result using the optimal simplex vector, and outputting the current optimal clustering result.
摘要翻译：一种用于动态，半监督聚类的系统和方法，包括接收数据属性，使用数据属性生成一组集合分区，使用该集合分区形成凸包，通过在凸包上执行集合聚类来生成单形向量接收动态链接，使用单纯形向量和动态链接导出最优单向向量，使用最优单向向量计算当前最优聚类结果，并输出当前最优聚类结果。

106. 发明申请

US20150324711A1 ASSOCIATION-BASED PRODUCT DESIGN 有权
公开(公告)号：US20150324711A1
公开(公告)日：2015-11-12
申请号：US14747198
申请日：2015-06-23
申请人： International Business Machines Corporation
发明人： Lav R. Varshney , Kush R. Varshney , Jun Wang
IPC分类号： G06Q10/06
CPC分类号： G06Q10/0637 , A23L3/34095 , A23V2002/00 , A61L2/16 , B01D2257/90 , B01F15/00318 , G01N30/88 , G01N2030/025 , G01N2030/8809 , G06F17/11 , G06F17/16 , G06F17/3053 , G06F17/30867 , G06F17/30958 , G06F17/50 , G06F19/3475 , G06Q10/063 , G06Q10/1097 , G06Q50/12 , G09B19/0092 , G16H20/60
摘要： A method for designing a new product includes automatically identifying a plurality of components of stored products, wherein the plurality of components is associated with an existing component included in a design of the new product, automatically selecting a new component from among the plurality of components, wherein a relationship between the existing component and the new component optimizes a design objective for the new product, automatically adding the new component to the design for the new product, and iteratively repeating the identifying, the selecting, and the adding until a stopping criterion is met, wherein the design for the new product is complete when the stopping criterion is met.

107. 发明申请

US20150317376A1 METHOD, SYSTEM AND COMPUTER PROGRAM PRODUCT FOR AUTOMATING EXPERTISE MANAGEMENT USING SOCIAL AND ENTERPRISE DATA 审中-公开
标题翻译：使用社会和企业数据自动化专业管理的方法，系统和计算机程序产品
公开(公告)号：US20150317376A1
公开(公告)日：2015-11-05
申请号：US14266970
申请日：2014-05-01
申请人： International Business Machines Corporation
发明人： John H. Bauer , Dongping Fang , Aleksandra Mojsilovic , Karthikeyan N. Ramamurthy , Kush R. Varshney , Jun Wang
IPC分类号： G06F17/30 , G06N5/02
CPC分类号： G06N7/005 , G06F16/285 , G06F16/9024 , G06N5/02 , G06Q10/06 , G06Q10/105
摘要： A method includes performing contextual association of entities using multi-source data. For each context the method performs co-clustering to identify distinct expert-skill associations; constructing single-entity unipartite graph representations and performing a random walk within each single-entity unipartite graph; for each single-entity unipartite graph, obtaining steady state distributions using the random walks to obtain clusters of experts and skills; performing a weighted two-way random walk across entity graphs (graph edges), giving preference to traversal within members of the same co-cluster; and performing link prediction for each context by dynamically adding edges, and obtaining overall skills predictions, analyses and inferences by merging the contexts and weighting the links of each context. The method can also use the context-specific weights obtained from the co-association information in a matrix completion procedure, and finally merge the context-specific outputs to obtain overall skills predictions, analyses and inferences. A computer program product and a system are also disclosed for performing the method.
摘要翻译：一种方法包括使用多源数据来执行实体的上下文关联。对于每个上下文，该方法执行共同聚集以识别不同的专家技能关联; 构建单实体单边图表示，并在每个单实体单边图中执行随机游走; 对于每个单实体单边图，使用随机游走获得稳态分布，以获得专家和技能的集群; 在实体图（图形边缘）上执行加权双向随机游走，优先考虑同一共同群集成员内的遍历; 并通过动态添加边缘来执行每个上下文的链接预测，并通过合并上下文并加权每个上下文的链接来获得整体技能预测，分析和推理。该方法还可以使用在矩阵完成过程中从共同关联信息获得的上下文特定权重，并且最终合并上下文特定输出以获得总体技能预测，分析和推论。还公开了一种用于执行该方法的计算机程序产品和系统。

108. 发明申请

US20150161531A1 ASSOCIATION-BASED PRODUCT DESIGN 有权
标题翻译：基于协会的产品设计
公开(公告)号：US20150161531A1
公开(公告)日：2015-06-11
申请号：US14561869
申请日：2014-12-05
申请人： International Business Machines Corporation
发明人： Lav R. Varshney , Kush R. Varshney , Jun Wang
IPC分类号： G06Q10/06
CPC分类号： G06Q10/0637 , A23L3/34095 , A23V2002/00 , A61L2/16 , B01D2257/90 , B01F15/00318 , G01N30/88 , G01N2030/025 , G01N2030/8809 , G06F17/11 , G06F17/16 , G06F17/3053 , G06F17/30867 , G06F17/30958 , G06F17/50 , G06F19/3475 , G06Q10/063 , G06Q10/1097 , G06Q50/12 , G09B19/0092 , G16H20/60
摘要： A method for designing a new product includes automatically identifying a plurality of components of stored products, wherein the plurality of components is associated with an existing component included in a design of the new product, automatically selecting a new component from among the plurality of components, wherein a relationship between the existing component and the new component optimizes a design objective for the new product, automatically adding the new component to the design for the new product, and iteratively repeating the identifying, the selecting, and the adding until a stopping criterion is met, wherein the design for the new product is complete when the stopping criterion is met.
摘要翻译：一种用于设计新产品的方法包括自动识别存储产品的多个组件，其中多个组件与包括在新产品的设计中的现有组件相关联，从多个组件中自动选择新组件，其中现有组件和新组件之间的关系优化新产品的设计目标，将新组件自动添加到新产品的设计中，并迭代地重复识别，选择和添加，直到停止标准为满足，其中当满足停止标准时，新产品的设计完成。

109. 发明申请

US20150161346A1 PATIENT RISK STRATIFICATION BY COMBINING KNOWLEDGE-DRIVEN AND DATA-DRIVEN INSIGHTS 审中-公开
标题翻译：通过组合知识驱动和数据驱动的角度组合病人的风险分析
公开(公告)号：US20150161346A1
公开(公告)日：2015-06-11
申请号：US14097995
申请日：2013-12-05
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Jianying Hu , Buyue Qian , Fei Wang , Jun Wang , Xiang Wang
IPC分类号： G06F19/00
CPC分类号： G16H50/30
摘要： A system and method for patient stratification include determining a first set of patient groups from patients in a patient similarity graph based on a similarity structure of the patient similarity graph. A second set of patient groups is identified based on expert domain knowledge associated with the patients. Patients in the first set and the second set are aligned using a processor to stratify patients.
摘要翻译：用于患者分层的系统和方法包括基于患者相似性图的相似性结构来确定患者相似图中患者的第一组患者组。基于与患者相关的专家领域知识来鉴定第二组患者组。第一组和第二组的患者使用处理器来对齐患者。

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