Abstract: An information processing system analyzes an influence level for each of a plurality of higher nodes to which a particular one of a plurality of nodes is directly or indirectly linked based on at least one of the capital contribution ratios that is assigned to a path along which one of the capital investment relations from the particular node is traced, by using a capital contribution ratio in the particular node as an index. When the capital contribution ratio of one of two or more of the plurality of higher nodes to which an analysis target node that is a target in analyzing the influence level is linked is in excess of half, the analysis unit analyzes the one higher node the capital contribution ratio of which is in excess of half to be effectively controlling the analysis target node.

Abstract: An information processing system includes: a supply chain network obtaining unit obtaining a supply chain network in which a plurality of nodes are connected together with a plurality of links, the plurality of nodes corresponding to a plurality of companies and provided with attributes, the attributes including industrial classifications of the companies and related to the companies, and the plurality of links representing trading relationships associating a company to provide a product and a company to receive the product; and a vector representation calculating unit calculating a plurality of vector representations each corresponding to one of the plurality of nodes, and each representing a feature amount of one of the plurality of nodes, by application of a graph embedding technique to the supply chain network.

Abstract: An information processing system includes: a supply chain network acquisition section configured to acquire a supply chain network, in which a plurality of nodes corresponding to a plurality of companies are linked based on open information; an input receiving section configured to receive a selection operation of selecting any of the plurality of companies as a company of interest; a sub-network extraction section configured to perform a process of extracting, from the supply chain network, a sub-network including either one or both of an upstream sub-network and a downstream sub-network; a company-of-special-interest identifying section configured to identify a company of special interest that meets a given condition in the sub-network; and a presentation processing section configured to perform a process of presenting information on the company of special interest.

Abstract: An information processing system includes: an entity network obtaining unit configured to obtain an entity network; an influence level calculation unit configured to perform an influence level calculation process based on the entity network; a strategy determining unit configured to present strategies taken by the first entity and receive a selection of any of the presented strategies to determine a selected strategy; and a strategy interpretation unit configured to determine a constraint for the influence level calculation process based on the selected strategy; and an evaluation processing unit. The influence level calculation unit calculates a first influence level under no constraint and a second influence level under the constraint, and the evaluation processing unit evaluates the selected strategy on the basis of a comparison between the first influence level and the second influence level.

Abstract: A correlation display system, correlation display method, and correlation display program capable of outputting the relationship between a plurality of persons in a manner visibly recognizable by a user are provided. A correlation display system 1 includes: a communication data acquisition unit 10 that acquires communication data transmitted and received between a plurality of terminals and thereby associated with each of a plurality of persons; an analysis unit 12 that analyzes content of the communication data acquired by the communication data acquisition unit 10; an evaluation unit 16 that evaluates the relationship between the content of the communication data and a predetermined event by using an analysis result of the analysis unit 12; and a display unit 18 that displays the relationship between a plurality of persons related to the event on the basis of an evaluation result of the evaluation unit 16.

Abstract: Provided is a data analysis system that generates effective information affecting a user's tendency to buy a product and service. The data analysis system analyzes data to generate information on a tendency of a user, and includes: a memory that stores at least temporarily a plurality of evaluation data to be analyzed; and a controller that evaluates each of the plurality of evaluation data based on training data, wherein the controller extracts first information from the plurality of evaluation data based on results of the evaluation of the plurality of evaluation data, extracts second information from the training data based on a characteristic pattern included in the first information, and generates the information on the tendency of the user from the first information and the second information.

Abstract: A technique for calculating a disease evaluation index using intestinal flora is presented. A disease evaluation index calculation method includes a step of inputting one or more diseases that a user wants to be aware of; a step of extracting the user's intestinal flora data, which is a result of analyzing a stool sample of the user in advance, the user's attribute data, and an association model having a plurality of subjects' attribute data, the subjects' intestinal flora data, which is a result of analyzing stool samples of the subjects, and data on the diseases as internal factors, from a database; and a step of calculating a risk of the diseases using the user's intestinal flora data, the user's attribute data, and the association model.

Abstract: To construct a learned model exhibiting a high generalization capability. A data set is stored in a memory of a computer. A controller of the computer executes: sampling processing for sampling first learning data from the data set; clustering processing for generating a plurality of clusters by clustering data included in the data set; selection processing for selecting second learning data from a cluster not including the first learning data among the plurality of clusters; and configuration processing for configuring learning data set including the first learning data and at least a part of the second learning data as the learning data set.

Abstract: To acquire an estimated price that is more accurate and capable of acquiring a sense of consent from a client more readily than the estimated price acquired by a conventional estimation method. A computer includes a memory and a controller. The memory stores data set, and the controller executes: prediction processing for predicting time required for review work of each piece of electronic data based on a feature amount of content included in the electronic data; evaluation processing for evaluating the number of steps required for the review work of the data set based on the time predicted in the prediction processing for each piece of electronic data; and estimation processing for estimating the cost required for the review work of the data set based on the number of steps evaluated in the evaluation processing.

Abstract: The present invention includes: an extraction unit that extracts a specified quantity of documents, as targets to be classified by a user, from document information; a classification code accepting unit that accepts a classification code which is an identifier used when categorizing the documents, and is assigned by the user to each of the extracted documents; a database that records keywords selected from the extracted documents on the basis of the classification code; a score calculation unit that calculates a score which evaluates linkage strength between documents included in the document information, and the classification code on the basis of the keywords wherein the score calculation unit recalculates the score on the basis of a result of further extraction, by the extraction unit, of a specified quantity of documents, as targets to be classified by the user, from the document information according to the score.

Abstract: It is required to provide a method for classifying a set of data to be examined without a detailed analysis of the content of the set of data to be examined. A data classification system which solves the problem, the data classification system comprising: a data acquiring unit configured to acquire the plurality of data components of the data to be examined; an evaluation component extracting unit configured to extract a plurality of predetermined evaluation components from among the plurality of data components; a score value calculating unit configured to calculate score values for all of the plurality of known types based on the extracted plurality of evaluation components; and a classification determining unit configured to determine that the data to be examined belongs to a type with the highest value among the score values calculated by the score value calculating unit for all of the plurality of known types.

Abstract: A document classification system is provided. The document classification system analyzes digital document information which is collected to be submitted as evidence in a lawsuit and classifies the digital document information.

Abstract: The present invention relates to data analysis for evaluating a plurality of pieces of object data; and the evaluation corresponds to the relation between each piece of object data and a specified case. An index that enables ranking of the plurality of pieces of object data is generated by the evaluation and the index changes based on an input entered by a user. A pattern is extracted that characterizes the reference data from the reference data according to the classification information assigned by the input. The index is determined by evaluating the relation between the object data and the specified case based on the extracted pattern and set to the object data. The plurality of pieces of object data are ranked according to the index and reported the user.

Abstract: A forensic system includes a result information receiving unit that receives result information which is a determination result of connection between a lawsuit and a document group including a predetermined number of documents, which is extracted from document data included in digital information, by a user, an element selection unit that calculates evaluation values of elements which commonly appear in the document group in each result information item from the characteristics of the elements and selects the elements on the basis of the evaluation values, a score calculation unit that calculates a score of each document in the document data from the selected elements included in each document of the document data and the evaluation values of the selected elements, and a recall ratio calculation unit that calculates a recall ratio related to the determination of the connection to the lawsuit on the basis of the score.

Abstract: Efficiency in monitoring documents is promoted by quantifying the priorities of the documents to be monitored. A document analysis system (1) includes: a score calculation unit (116) that calculates a score indicating strength of linkage between a document included in document information and a classification code indicating the relevance between the document information and a lawsuit or a fraud investigation; and a score report unit (701) that reports the score to a user according to the calculated score.

Abstract: Provided is a data analysis system that generates effective information affecting a user's tendency to buy a product and service. The data analysis system analyzes data to generate information on a tendency of a user, and includes: a memory that stores at least temporarily a plurality of evaluation data to be analyzed; and a controller that evaluates each of the plurality of evaluation data based on training data, wherein the controller extracts first information from the plurality of evaluation data based on results of the evaluation of the plurality of evaluation data, extracts second information from the training data based on a characteristic pattern included in the first information, and generates the information on the tendency of the user from the first information and the second information.

Abstract: Regarding a data analysis system, a data acquisition unit acquires, as a training data set, a data set including a plurality of combinations of training data and classification information for classifying the training data. A relation evaluation unit that evaluates a relation between a data element included in the training data and the classification information. A partial data generation unit that divides each of a plurality of pieces of unknown data, which are analysis targets, into partial unknown data which constitute part of each pieces of the unknown data. A data evaluation unit that evaluates each piece of the partial unknown data on the basis of evaluation results by the relation evaluation unit.

Abstract: The present invention relates to data analysis whereby a plurality of components are extracted from learning data, each of the plurality of components constituting at least part of the learning data; a component to be utilized for evaluation of the plurality of pieces of evaluation data is selected, from among the plurality of components, on the basis of evaluation information about each of the plurality of extracted components; and the evaluation data is evaluated by utilizing the selected component.

Abstract: A digital information analysis system includes a target selection unit that selects target digital information, a combination storage unit that stores each of a plurality of word combinations related to a predetermined specific item, a search unit that searches whether the plurality of word combinations stored in the combination storage unit are included in the target digital information selected by the target selection unit, a relation determination unit that determines the relation of the target digital information to the predetermined specific item on the basis of a morphological analysis result when the plurality of word combinations stored in the combination storage unit are included in the target digital information, and a determination result setting unit that associates the determination result of the relation determination unit with the target digital information.

Abstract: It is required to provide a method for classifying a set of data to be examined without a detailed analysis of the content of the set of data to be examined. A data classification system which solves the problem, the data classification system comprising: a data acquiring unit configured to acquire the plurality of data components of the data to be examined; an evaluation component extracting unit configured to extract a plurality of predetermined evaluation components from among the plurality of data components; a score value calculating unit configured to calculate score values for all of the plurality of known types based on the extracted plurality of evaluation components; and a classification determining unit configured to determine that the data to be examined belongs to a type with the highest value among the score values calculated by the score value calculating unit for all of the plurality of known types.