Abstract: To more accurately determine condition of a business negotiation, a sales support apparatus (10) includes: an obtaining section (11) obtaining a first document in which contents of a first business negotiation are described in a natural language; a selection section (12) that refers, for each second business negotiation other than the first business negotiation, to a storage device storing: a second document in which contents of the second business negotiation are described in a natural language; information on a cluster to which the second document belongs; and a business negotiation condition indicated in a document belonging to the cluster, and selects a cluster from among clusters formed in clustering of the second documents, based on a degree of similarity between the first document and the second documents; and an output section (13) outputting information indicative of condition of a business negotiation, associated with the selected cluster.

Abstract: To more accurately identify a business negotiation similar to a target business negotiation, a sales support apparatus (10) includes: an obtaining section (11) that obtains a first document set including one or more first documents in each of which contents of a first business negotiation are described in a natural language; and an identification section (12) that refers, for each of multiple second business negotiations that are other than the first business negotiation, to a storage device storing a second document set including a second document in which contents of the second business negotiation are described in a natural language, and identifies a second business negotiation that is similar to the first business negotiation from among the second business negotiations, on the basis of a degree of similarity between the first document set and the second document set.

Abstract: An estimation apparatus includes: an acquiring unit that acquires performance information corresponding to the performance of light from nodes configuring an optical network; and an estimating unit that compares the performance information to be an estimation target acquired by the acquiring unit with performance information at normal time at which no anomaly occurs, and performs at least one of estimation of anomaly occurrence and identification of an anomaly occurring node.

Abstract: Provided is a technology that enables a user to more easily determine validity of a recommended company recommended as a cooperation candidate of a target company. A recommendation device (100) includes: an extracting section (101) that extracts a recommended company recommended as a cooperation candidate of a target company, from a plurality of companies on the basis of target company information including a cooperation detail desired by the target company and cooperation candidate company information including a cooperation detail desired by each of the plurality of companies, which are cooperation candidates of the target company; a specifying section (102) that specifies a first important part in the target company information and a second important part in the cooperation candidate company information of the recommended company; and a presenting section (103) that presents the cooperation candidate company information of the recommended company, the first important part, and the second important part.

Abstract: To output a more suitable matching candidate in business matching between companies, a recommendation apparatus (10) includes an extracting section (11) that extracts, on the basis of a predetermined extraction condition, core phrases respectively from (i) target company information including a cooperation detail desired by a target company and (ii) cooperation candidate company information including a cooperation detail desired by a cooperation candidate company of the target company; a specifying section (12) that specifies a recommended company from among the cooperation candidate company on the basis of the core phrases extracted by the extracting section (11); and an output section (13) that outputs information indicative of the recommended company specified by the specifying section (12).

Abstract: Provided is a behavior analysis system including: a generation unit that generates a behavior data group including a plurality of behavior data on an analysis target basis; a conversion unit that converts the behavior data group of each of a plurality of analysis targets by converting a parameter which depends on the analysis target out of parameters included in the behavior data group into a parameter which does not depend on the analysis target; and an analysis unit that performs analysis by using the converted behavior data group of the plurality of analysis targets.

Abstract: A learning device includes a proposed interest rate acquisition means, a loan result acquisition means and a learning means. The proposed interest rate acquisition means acquires proposed interest rates of multiple lenders for a loan application. The loan result acquisition means acquires an interest rate at a time when a loan for the loan application is established. Then, the learning means learns an appropriate interest rate prediction model which uses the proposed interest rate as an explanatory variable and the interest rate at the time when the loan is established as an objective variable.

Abstract: A prediction method executed by a prediction apparatus includes searching for past time-series data similar to time-series data of search target and, based on a result of the searching and information corresponding to an event in past, calculating prediction information for predicting occurrence of the event.

Abstract: A log analysis device includes a correlation model generation unit that generates a correlation model between a pattern of a log output from a monitored target in a prescribed period and the monitored target, based on time series of the pattern and an operating status of the monitored target, and a determination unit that determines existence of an abnormality in the monitored target based on the correlation model.

Abstract: Provided is an information processing device including: a data acquisition unit that acquires, from a target system, learning data used in learning of a model used for anomaly detection and inspection data to be used for inspection of the model in the target system; and a determination unit that, based on a deviation degree between a data distribution of the learning data and a data distribution of the inspection data, determines whether or not relearning of the model is required.

Abstract: A log analysis device includes a correlation model generation unit that generates a correlation model between a pattern of a log output from a monitored target in a prescribed period and the monitored target, based on time series of the pattern and an operating status of the monitored target, and a determination unit that determines existence of an abnormality in the monitored target based on the correlation model.

Abstract: Provided is a behavior analysis system including: a generation unit that generates a behavior data group including a plurality of behavior data on an analysis target basis; a conversion unit that converts the behavior data group of each of a plurality of analysis targets by converting a parameter which depends on the analysis target out of parameters included in the behavior data group into a parameter which does not depend on the analysis target; and an analysis unit that performs analysis by using the converted behavior data group of the plurality of analysis targets.

Abstract: An anomaly identification system includes: a log extraction unit that extracts a plurality of log subsets from target logs; a modeling unit that generates models from the plurality of log subsets; a correspondence acquisition unit that acquires a correspondence between the models and the plurality of log subsets that contribute to generation of the models; and a determination unit that classifies the plurality of log subsets into two log subset groups in accordance with presence or absence of contribution to generation of the models based on the correspondence, determines, out of the two log subset groups, a minority log subset group that includes the log subsets the number of which is smaller, and determines one of the plurality of log subsets having the highest specificity related to presence or absence of contribution to generation of the models based on the minority log subset group.

Abstract: Provided is a log analysis system, a log analysis method, and a storage medium that can efficiently identify a cause which leads to an anomaly. The log analysis system has a variable extraction unit that extracts, from a first log out of monitoring logs which does not match a format stored in a storage medium, a value of a variable included in the first log.

Abstract: The present invention can provide a technology for presenting information that indicates contents and trends of many messages without a need to define a portion that varies among the messages in advance. A message analysis apparatus is provided with a clustering unit, a field analysis unit, and a pattern generation unit. The clustering unit classifies a message set that is an aggregation of messages each being formed of one or more fields, into a cluster, based on similarity among the messages. The field analysis unit identifies, in each of fields that form a message group in the cluster, a variable portion in which a value in the field varies and an invariable portion in which a value in the field does not vary. The pattern generation unit generates a message pattern being common to the message group in the cluster, based on the variable portion and the invariable portion.

Abstract: The present invention provides an information processing device that outputs a machine disposition plan for moving virtual machines while suppressing deterioration in user experience performance in a virtual-machine-type thin client system. The information processing device is provided with: a connection time determination unit that, for each first virtual machine, calculates a time slot coverage rate that is the fraction of a connection time slot covered by a high-load time slot, and determines as a second virtual machine a first virtual machine of which the time slot coverage rate exceeds a minimum coverage rate; and a disposition plan generating unit that, on the basis of time-series data of the amount of resource use of each second virtual machine, calculates the number of physical servers necessary to hold the second virtual machines in each of the high-load time slot and a low-load time slot, and associates the number to the virtual machines, outputting the result.

Abstract: The present invention provides an information processing device that outputs a machine disposition plan for moving virtual machines while suppressing deterioration in user experience performance in a virtual-machine-type thin client system. The information processing device is provided with: a connection time determination unit that, for each first virtual machine, calculates a time slot coverage rate that is the fraction of a connection time slot covered by a high-load time slot, and determines as a second virtual machine a first virtual machine of which the time slot coverage rate exceeds a minimum coverage rate; and a disposition plan generating unit that, on the basis of time-series data of the amount of resource use of each second virtual machine, calculates the number of physical servers necessary to hold the second virtual machines in each of the high-load time slot and a low-load time slot, and associates the number to the virtual machines, outputting the result.

Abstract: Provided is a technology which can estimate, in advance before integrating a plurality of databases (instances), an operation status of a database after the integration, such as a buffer cache hit rate. An estimation device 1 includes an acquisition unit 2 and an estimation unit 3. The acquisition unit 2 acquires information on operation statuses of respective databases to be integrated together. The estimation unit 3 generates, using the acquired operation statuses, an equation expressing a relationship between the operation status of the target database and capacity of the buffer cache correlated to the target database. The estimation unit 3 further estimates an operation status of an integrated database after integrating the plurality of the target databases based on the generated equation and capacity of an integrated buffer cache correlated to the integrated database.

Abstract: An information device provided with: a test storage unit that stores test scenarios that include standby time comprising multiple instances of processing in which a request is sent and response to the request is received, and in which the time between sending and receiving is time during which a TCP connection is disconnected; a generation unit that generates a load generation unit that executes a test scenario and applies a load to a system that has been designated as a target for having a load applied thereto; a parameter storage unit that stores parameters for determining the length of the standby time; a parameter adjustment unit that adjusts parameters so that the desired number of requests per unit time reach the system; and a communication control unit that disconnects the TCP connection during the standby time that is included in the test scenario which is being executed by the load generation unit.

Abstract: The present invention provides an information processing device that is capable of evaluating whether a desired load is being generated for application to a test-target system. The information processing device includes: a means that calculates the request rates per unit time on the basis of time series data for requests sent from a load generation device, aggregates the request rates on the basis of predetermined class data, and creates frequency distribution data; a means that acquires expected frequency distribution data, which is frequency distribution data expected when it is assumed that the distribution of request rates follows a desired probability distribution; and a means that carries out goodness-of-fit testing of the observed frequency distribution data with the probability distribution by using the created observed frequency distribution data and the acquired expected frequency distribution data.