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公开(公告)号：US20220004910A1
公开(公告)日：2022-01-06
申请号：US17363525
申请日：2021-06-30
申请人： NEC CORPORATION
发明人： Wenjuan Wei , Lu Feng
IPC分类号： G06N7/00
摘要： Implementations of the present disclosure relate to information processing method, electronic device, and computer storage medium. The method comprises: obtaining a group of variables; obtaining a causal model; using the causal model to determine causality among variables in the group of variables based on types of the variables in the group of variables. Using the technical solution of the present disclosure, a mixture of complex, non-linear continuous data or discrete data may be processed using a new model, and thus causality among observed data may be determined.
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公开(公告)号：US20200380064A1
公开(公告)日：2020-12-03
申请号：US16763585
申请日：2019-03-28
申请人： NEC CORPORATION
发明人： Lu FENG , Chunchen LIU , Wenjuan Wei
摘要： Implementations of the present disclosure relate to a method, system and program product for determining a causality between a plurality of variables. A method is provided for determining a causality between a plurality of vectors, which comprises: in response to a data set of a plurality of samples associated with the plurality of variables being collected, obtaining a matrix describing the causality between the plurality of variables, each sample among the plurality of samples comprising data that corresponds to the plurality of variables; determining a fitness degree and an expert knowledge constraint which are associated with the causality based on the data set and the matrix, wherein the expert knowledge constraint comprises at least one of an edge constraint on a direct causality between two variables in the matrix and a path constraint on an indirect causality between two variables in the matrix; building a problem formula describing the causality according to the determined fitness degree and expert knowledge constraint; and solving the built problem formula so as to obtain a candidate result of the matrix. Further, there is provided a corresponding system and computer program product.
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公开(公告)号：US11531836B2
公开(公告)日：2022-12-20
申请号：US16856675
申请日：2020-04-23
申请人： NEC CORPORATION
发明人： Lu Feng , Lvye Cui , Wenjuan Wei , Chunchen Liu
摘要： Embodiments of the present disclosure relate to a method, a device and a computer-readable storage medium for data processing. The method for data processing comprises: obtaining a set of observation samples regarding a plurality of factors, one of the set of observation samples comprising respective observed values of the plurality of factors. The method further comprises: estimating, for each of the plurality of factors and based on the set of observation samples, a distribution that differences between observed values of the factor and estimated values of the factor follow. The method further comprises determining, based at least on the estimated distribution, a causal structure representing a causal relationship among the plurality of factors. Embodiments of the present disclosure further provide a device and a computer-readable storage medium for implementing the above method. The embodiments of the present disclosure can accurately and robustly discover the causal relationship among a plurality of factors without making any assumptions about the relationship between the data distribution and the factors, and affect the observed value of the target factor based on the causal relationship.
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公开(公告)号：US11232175B2
公开(公告)日：2022-01-25
申请号：US16763585
申请日：2019-03-28
申请人： NEC CORPORATION
发明人： Lu Feng , Chunchen Liu , Wenjuan Wei
摘要： Implementations of the present disclosure relate to a method, system and program product for determining a causality between a plurality of variables. A method is provided for determining a causality between a plurality of vectors, which comprises: in response to a data set of a plurality of samples associated with the plurality of variables being collected, obtaining a matrix describing the causality between the plurality of variables, each sample among the plurality of samples comprising data that corresponds to the plurality of variables; determining a fitness degree and an expert knowledge constraint which are associated with the causality based on the data set and the matrix, wherein the expert knowledge constraint comprises at least one of an edge constraint on a direct causality between two variables in the matrix and a path constraint on an indirect causality between two variables in the matrix; building a problem formula describing the causality according to the determined fitness degree and expert knowledge constraint; and solving the built problem formula so as to obtain a candidate result of the matrix. Further, there is provided a corresponding system and computer program product.
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公开(公告)号：US20210304279A1
公开(公告)日：2021-09-30
申请号：US17218527
申请日：2021-03-31
申请人： NEC CORPORATION
发明人： Wenjuan Wei , Chunchen Liu
摘要： Embodiments of the present disclosure provide an information processing method, electronic device and computer-readable storage medium. The method proposed herein comprises obtaining product information on a plurality of products, the product information at least comprising the output quantity and a target attribute of each of the plurality of products within a period of time, where the output quantity indicates the number of respective products outputted externally within a period of time. The method further comprises determining a causality related to the output quantity by applying the product information to a data processing model, and the causality at least indicates a dependency of the output quantity of each of the plurality of products on the respective target attributes of the plurality of products. The method further comprises determining, based on the causality, from the plurality of products at least one target product affecting a total output metric of the plurality of products. With the embodiments of the present disclosure, by determining a core or key product, it is possible to promote a more pertinent product adjustment so as to improve the overall efficiency or profits.
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公开(公告)号：US11893079B2
公开(公告)日：2024-02-06
申请号：US17489279
申请日：2021-09-29
申请人： NEC CORPORATION
发明人： Lu Feng , Chunchen Liu , Wenjuan Wei
摘要： Implementations of the present disclosure relate to a method, system and program product for determining a causality between a plurality of variables. A method is provided for determining a causality between a plurality of vectors, which comprises: in response to a data set of a plurality of samples associated with the plurality of variables being collected, obtaining a matrix describing the causality between the plurality of variables, each sample among the plurality of samples comprising data that corresponds to the plurality of variables; determining a fitness degree and an expert knowledge constraint which are associated with the causality based on the data set and the matrix, wherein the expert knowledge constraint comprises at least one of an edge constraint on a direct causality between two variables in the matrix and a path constraint on an indirect causality between two variables in the matrix; building a problem formula describing the causality according to the determined fitness degree and expert knowledge constraint; and solving the built problem formula so as to obtain a candidate result of the matrix. Further, there is provided a corresponding system and computer program product.
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公开(公告)号：US11651234B2
公开(公告)日：2023-05-16
申请号：US16140880
申请日：2018-09-25
申请人： NEC CORPORATION
发明人： Chunchen Liu , Lu Feng , Wenjuan Wei
IPC分类号： G06N5/02 , G06F16/901
CPC分类号： G06N5/02 , G06F16/9024 , G06F2216/03
摘要： A method, device and system for estimating causality among observed variables are provided. In response to receiving observation data of a plurality of observed variables, a causality objective function is determined, based on fitting inconsistencies when fitting is performed using the observed variables and a sparse constraint for a causal network structure. The fitting inconsistencies are adjusted based on weighting factors of the observed variables, wherein a weighting factor of an observed variable indicates a minimum underestimate value of cost required for fitting a target variable using all other observed variables than the above observed variable. Then, the causality among the plurality of observed variables is estimated by using the observations data to optimally solve the causality objective function through sparse causal reasoning under a directed acyclic graph constraint.
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公开(公告)号：US11341424B2
公开(公告)日：2022-05-24
申请号：US16220204
申请日：2018-12-14
申请人： NEC CORPORATION
发明人： Wenjuan Wei , Chunchen Liu , Lu Feng
IPC分类号： G06G7/62 , G06Q30/02 , G06Q30/00 , G06N5/02 , G06N5/04 , G06F16/31 , G06N7/00 , G06F16/901 , G06N5/00
摘要： In response to receiving observed data of mixed observed variables, a mixed causality objective function, being suitable for continuous observed variables and discrete observed variables is determined, wherein the mixed causality objective function includes a causality objective function for continuous observed variables and a causality objective function for discrete observed variables and the fitting inconsistency is adjusted based on weighted factors of the observed variables. Then, the mixed causality objective function is optimally solved by using a mixed sparse causal inference, suitable for both continuous observed variables and discrete observed variables, using the mixed observed data under a constraint of a directed acyclic graph, to estimate causality among the observed variables.
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公开(公告)号：US20220114607A1
公开(公告)日：2022-04-14
申请号：US17069520
申请日：2020-10-13
申请人： NEC CORPORATION
发明人： Wenjuan Wei , Chunchen Liu , Lvye Cui
摘要： Embodiments of the present disclosure relate to a method, apparatus and computer-readable storage medium for data processing. The method may comprise: obtaining feature data for characterizing a plurality of factors of a user set, the plurality of factors comprising a target factor. The method may further comprise obtaining a condition factor from the plurality of factors based on the feature data, the obtained condition factor being a cause of the target factor. The method may further comprise determining a user having the condition factor from the user set. According to the technical solution of the present disclosure, accurate user positioning and strategy formulation may be realized based on the discovery of a high-dimensional causal structure. In addition, according to the technical solution of the present disclosure, information such as the user's satisfaction degree can be simulated without performing cumbersome and inefficient questionnaire surveys.
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公开(公告)号：US11615090B2
公开(公告)日：2023-03-28
申请号：US17043366
申请日：2019-03-29
申请人： NEC CORPORATION
发明人： Zheng Pan , Wenjuan Wei , Chunchen Liu
IPC分类号： G06F16/00 , G06F16/2453 , G06F16/2458 , G06F16/901
摘要： The present disclosure relates to a method, apparatus and system for determining accessible paths between two nodes. According to the method of the present disclosure, an adjacency matrix of a graph, which includes a plurality of points and edges connecting the plurality of points, is first established; then, search is made for an accessible path that can reach a destination from a starting point based on the adjacency matrix. Especially, a termination condition for the searching is set based on an already-sought path during the searching, and the corresponding search is terminated in response to the termination condition being met during the searching. With the present disclosure, it may substantially reduce repeated traversal, obvious reduce the time taken to search for accessible paths between two nodes, and significantly improve the efficiency in searching for the accessible path.
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