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21.发明授权Predictive and descriptive analysis on relations graphs with heterogeneous entities 有权与异构实体关系图的预测和描述性分析公开(公告)号：US09195941B2
公开(公告)日：2015-11-24
申请号：US13868644
申请日：2013-04-23
摘要： A system, method and computer program product provides a random walk model with heterogeneous graphs to leverage multiple source data and accomplish prediction tasks. The system and method components include: 1) A heterogeneous graph formulation including heterogeneous instances of abstract objects as graph nodes and multiple relations as edges connecting those nodes. The different types of relations, such as client-vendor relation and client-product relation, are often quantified as the weights of edges connecting those entities; 2) To accomplish prediction tasks with such information, launching a multi-stage random walk model over the heterogeneous graph. The random walk within a subgraph with homogenous nodes usually produces the relevance between entities of the same type. The random walk across different type of nodes provides the prediction of decisions, such as a client purchasing a product.
摘要翻译： 系统，方法和计算机程序产品提供具有异构图的随机游走模型，以利用多个源数据并完成预测任务。 系统和方法组件包括：1）异构图形公式，包括作为图形节点的抽象对象的异构实例，以及连接这些节点的边缘的多个关系。 不同类型的关系，例如客户 - 供应商关系和客户 - 产品关系，通常被量化为连接这些实体的边的权重; 2）通过这种信息完成预测任务，在异构图上启动多阶段随机游走模型。 具有同质节点的子图中的随机游走通常产生相同类型的实体之间的相关性。 通过不同类型的节点的随机游走提供了诸如客户购买产品的决策的预测。
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22.发明申请SYSTEM AND METHOD FOR USING GRAPH TRANSDUCTION TECHNIQUES TO MAKE RELATIONAL CLASSIFICATIONS ON A SINGLE CONNECTED NETWORK 有权使用图形传输技术在单个连接网络上进行关联分类的系统和方法公开(公告)号：US20140258196A1
公开(公告)日：2014-09-11
申请号：US13787807
申请日：2013-03-07
发明人： Amit Dhurandhar , Jun Wang
IPC分类号： G06N99/00
CPC分类号： G06N99/005 , G06F17/30958 , G06N3/08 , G06N5/022 , G06N7/00
摘要： A system and method for extending partially labeled data graphs to unlabeled nodes in a single network classification by weighting the data with a weight matrix that uses a modified graph Laplacian based regularization framework and applying graph transduction methods to the weighted data. The technique may be applied to data graphs that are directed or undirected, that may or may not have attributes and that may be homogeneous or heterogeneous.
摘要翻译： 通过用权重矩阵对数据进行加权来将部分标记的数据图形扩展到未标记的节点的系统和方法，该权重矩阵使用基于拉普拉斯算子的经修正的正则化框架，并将图形转换方法应用于加权数据。 该技术可以应用于有向或无向的数据图，其可以具有或可以不具有属性并且可以是均匀的或异质的。
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公开(公告)号：US20240193830A1
公开(公告)日：2024-06-13
申请号：US18064959
申请日：2022-12-13
发明人： Wen Pei Yu , Xiao Ming Ma , Xue Ying Zhang , Si Er Han , Jing James Xu , Jing Xu , Jun Wang
CPC分类号： G06T11/206 , G06N20/00
摘要： In an approach for post-modeling data visualization and analysis, a processor presents a first visualization of a training dataset in a first plot. Responsive to receiving a selection of a data group of the training dataset to analyze, a processor identifies three or fewer key model features of the data group of the training dataset. A processor ascertains a representative record of each key model feature of the three or fewer key model features using a Local Interpretable Model-Agnostic Explanation technique. A processor presents a second visualization of the three or fewer key model features and the representative record of each key model feature in a second plot.
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公开(公告)号：US12003542B2
公开(公告)日：2024-06-04
申请号：US17148684
申请日：2021-01-14
发明人： Sheng Yan Sun , Shuo Li , Xiaobo Wang , Jun Wang , Hua Wang , Shidong Shan , Xing Xing Jing
IPC分类号： H04L9/40 , G06F18/22 , G06F18/2413 , G06N20/00
CPC分类号： H04L63/20 , G06F18/22 , G06F18/24143 , G06N20/00 , H04L63/102
摘要： A method, system, and computer program product for recommending an initial database security model. The method may include identifying a plurality of nodes connected to a security network. The method may also include analyzing security characteristics of each node of the plurality of nodes. The method may also include identifying, from the security characteristics, key factors for each node. The method may also include calculating similarities between each node of the plurality of nodes. The method may also include building a self-organized centerless network across the plurality of nodes by grouping nodes with high similarities based on the similarities between each node, where the self-organized centerless network is a centerless network without a central management server, and includes groups of nodes from the plurality of nodes. The method may also include generating federated security models for the groups of nodes.
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公开(公告)号：US11947449B2
公开(公告)日：2024-04-02
申请号：US17811198
申请日：2022-07-07
发明人： Lei Gao , Jin Wang , A Peng Zhang , Kai Li , Jun Wang , Jing James Xu , Rui Wang , Xin Feng Zhu
CPC分类号： G06F11/3692 , G06F11/3688
摘要： Embodiments of the present disclosure relate to a method, system and computer program product for semantic search based on a graph database. In some embodiments, a method is disclosed. According to the method, the user jobs of a user are obtained from a first software product. Based on the user jobs, target test cases are selected from a plurality of test cases associated with the first software product and a second software product. The target test cases are applied to the first software product and the second software product, and in accordance with a determination that a result of applying the target test cases satisfies a predetermined criterion, an instruction is provided to indicate migrating from the first software product to the second software product. In other embodiments, a system and a computer program product are disclosed.
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公开(公告)号：US11928156B2
公开(公告)日：2024-03-12
申请号：US17088018
申请日：2020-11-03
发明人： Dakuo Wang , Lingfei Wu , Xuye Liu , Yi Wang , Chuang Gan , Jing Xu , Xue Ying Zhang , Jun Wang , Jing James Xu
IPC分类号： G06N3/08 , G06F16/901 , G06F16/9032 , G06F16/955 , G06F40/211
CPC分类号： G06F16/90332 , G06F16/9024 , G06F16/9558 , G06F40/211 , G06N3/08
摘要： Obtain, at a computing device, a segment of computer code. With a classification module of a machine learning system executing on the computing device, determine a required annotation category for the segment of computer code. With an annotation generation module of the machine learning system executing on the computing device, generate a natural language annotation of the segment of computer code based on the segment of computer code and the required annotation category. Provide the natural language annotation to a user interface for display adjacent the segment of computer code.
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公开(公告)号：US20230359758A1
公开(公告)日：2023-11-09
申请号：US17661780
申请日：2022-05-03
发明人： Jin Wang , Lei GAO , A PENG ZHANG , Kai Li , Jun Wang , Xiao Ming Ma , Xin Feng Zhu , Geng Wu Yang
IPC分类号： G06F21/62
CPC分类号： G06F21/6245
摘要： The present disclosure relates to privacy protection in a search process. According to a method, a target emotion vector is extracted from a search interaction, the target emotion vector representing emotional information in the search interaction. Respective emotion distances between the target emotion vector and respective emotion vectors associated with a plurality of text clusters are determined. The plurality of text clusters is clustered from a dictionary of text elements. A first number of text clusters are selected from the plurality of text clusters based on the determined respective emotion distances. The first number of text clusters have emotion distances larger than at least one unselected text cluster among the plurality of text clusters. A plurality of confused search interactions are constructed for the search interaction based on the first number of text clusters, and the plurality of confused search interactions are performed.
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公开(公告)号：US20230097330A1
公开(公告)日：2023-03-30
申请号：US17483714
申请日：2021-09-23
发明人： Jun Wang , Xue Ying Zhang , Song Bo , Dong Hai Yu , Jing James Xu
IPC分类号： G06F16/957 , G06F16/9535 , G06F16/955 , H04L29/08
摘要： In an approach for detecting web browsing subject-oriented event interactions and intelligently organizing web pages based on insights from important interactions for better exploration and efficient management, a processor extracts time series data associated with a plurality of web browsing events based on browsing historical actions of a user. A processor identifies the subject of each web browsing event. A processor determines major events based on the time series data and subjects of the plurality of web browsing events. A processor organizes the plurality of web browsing events based on subject hierarchy and timeline from the time series data. A processor highlights one or more uniform resource locators based on the subject hierarchy and timeline.
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公开(公告)号：US20230010147A1
公开(公告)日：2023-01-12
申请号：US17371508
申请日：2021-07-09
发明人： Yao Dong Liu , Jiang Bo Kang , Jun Wang , Dong Hai Yu , Song Bo
摘要： Systems and computer-implemented methods select a subset of methods to generate data schemas for input data from a list of methods for generating data schemas, based on output of a regression model; generate a candidate schema for each method in the subset of methods to generate data schemas; and generate a master data schema for the input data by merging the candidate schema for each method in the subset of methods to generate data schemas, utilizing predetermined rules.
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公开(公告)号：US20220178365A1
公开(公告)日：2022-06-09
申请号：US17114869
申请日：2020-12-08
发明人： Yang Yang , Chong Liu , Si Er Han , Xiao Ming Ma , Jun Wang , Chun Lei Xu
摘要： Methods, computer program products, and/or systems are provided that perform the following operations: obtaining a series of indicator diagrams corresponding to strokes of a pumpjack over a specific time duration, dividing each indicator diagram into a plurality of location segments in a direction of location of the rod; obtaining load difference features between upstroke loads and corresponding downstroke loads in the plurality of location segments; identifying a location segment with an abnormal load difference feature based on a time series data of load difference feature corresponding to one of the plurality of location segments, the time series data of load difference feature including a series of data points of load difference feature of the one of the plurality of location segments in time order; and providing an indication of a potential problem based, at least in part, on the identification of the location segment with an abnormal load difference feature.
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