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: 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: 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: 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: A data analysis system according to the present invention includes: a classification information acquisition unit that acquires classification information indicative of classification of a web page; a collection unit that collects a data group relating to web pages on a network; a data classification unit that classifies each of a plurality of pieces of classification data, which is included in the data group, by associating the classification information with each of the plurality of pieces of classification data; a data evaluation unit that evaluates a relation between unclassified data, which is included in the data group and is different from the classification data, and the classification information according to a classification result by the data classification unit; and a presentation unit that presents recommendation information to a user on the basis of the evaluation by the data evaluation unit.

Abstract: A data analysis system according to the present invention includes: a training data acquisition unit that acquires a combination of training data including information about a medicinal drug and a plurality of pieces of classification information for classifying the training data on the basis of a plurality of classification standards; a learning unit that learns a pattern of the information about the medicinal drug from distribution of data elements which constitute at least part of the training data and appear according to the classification information; an unknown data acquisition unit that acquires unknown data from a specified information source; a data evaluation unit that evaluates the acquired unknown data on the basis of the learned pattern with respect to each of the plurality of classification standards; and a presentation unit that presents the information about the medicinal drug included in the unknown data to a user according to evaluation by the data evaluation unit.

Abstract: A memory unit stores medical information related to a patient's dangerous behavior and extracted in advance from judged medical record information which is medical record information identifying the dangerous behavior by being linked to an incident report about the patient's dangerous behavior. A relation evaluation unit acquires unjudged medical record information, to which the incident report is not linked, and evaluates a relation between the unjudged medical record information and a possible dangerous behavior of the patient corresponding to the unjudged medical record information on the basis of the medical information related to the dangerous behavior stored in the memory unit. A prediction unit predicts the patient's dangerous behavior corresponding to the unjudged medical record information according to an evaluation result of the relation evaluation unit. A data reporting unit reports a prediction result of the prediction unit.

Abstract: It is possible to reduce a review load of a reviewer. A document management system includes a screen display unit that displays a document group having a plurality of pieces of document data extracted from digital information to be determined for relevance to a lawsuit by a user and classification buttons allowing the user to select classification conditions for classifying the document group under predetermined conditions, a selection information reception unit that receives information relating to a classification button selected by the user among the classification button displayed by the screen display unit as selection information, and a classification instruction unit that analyzes the document group based on the selection information, classifies document data in the document group using the analysis result, and instructs the screen display unit to display the document group based on the classification result.

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: 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: 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: Possible events in the future can be predicted by analyzing existing data. A document analysis system (1) includes: a score calculator (116) that calculates a score that represents a strength of connection of a document extracted from document information to a classification symbol representing a degree of relevancy between the document information and a litigation or fraud investigation; a phase identifying section (122) that identifies a phase by which a predetermined action to be a cause of the litigation or fraud investigation is classified along with development of the predetermined action, based on the calculated score; and a change estimation unit (120) that estimates change in the identified phase, based on temporal transition of the phase.

Abstract: Analysis of document information used for a litigation is to be facilitated. A document analysis system of the present invention includes an investigation basis database that stores a generation process model of occurrence of a predetermined action to be a cause of a litigation or fraud investigation, for each of phases classified according to development of the predetermined action, stores information related to the litigation or fraud investigation, for each of categories to which the litigation or fraud investigation belongs and the generation process model, and further stores time series information representing temporal order of the phases, and a relationship between people related to the litigation or fraud investigation; and an identifying section that analyzes the document information, based on information related to the litigation or fraud investigation, the generation process model, the time series information, and the relationship between people, and identifies a current phase.

Abstract: In discovery, it is necessary to execute efficiently work and the like. A data analysis system (5) includes an identifying section (121) that, when a first word that indicates a predetermined action is included in data, identifies a second word that indicates an object of the predetermined action; and an association assigner (122) that associates attribute information that indicates an attribute of data including the first word and the second word with the first word and second word.

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: 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 document classification system is described that acquires digital information recorded on multiple computers or servers. The document classification system analyzes document information included in the acquired digital information, and classifies the document information to make it easy to use the document information in a lawsuit. The document classification system includes: an extraction unit; a classification code accepting unit; a selection unit; a search unit; a score calculation unit; an automatic classification unit; and a display control unit.

Abstract: A digital information analysis system includes: a relevance information acquiring unit that acquires relevance information attached by a classifier to each of multiple pieces of digital information; a relevance score calculating unit that calculates a relevance score determined according to relevance between each of the multiple pieces of digital information and the predetermined specific matter; a ratio calculation unit that calculates a ratio of the number of pieces of relevance information, attached to the digital information included in the range, to the total number of pieces of digital information having the relevance scores included in each range; and a display unit.

Abstract: It is possible to reduce a review load of a reviewer. A document management system includes a screen display unit that displays a document group having a plurality of pieces of document data extracted from digital information to be determined for relevance to a lawsuit by a user and classification buttons allowing the user to select classification conditions for classifying the document group under predetermined conditions, a selection information reception unit that receives information relating to a classification button selected by the user among the classification button displayed by the screen display unit as selection information, and a classification instruction unit that analyzes the document group based on the selection information, classifies document data in the document group using the analysis result, and instructs the screen display unit to display the document group based on the classification result.