Abstract: A computer system stores interpretation factor conversion information for managing an interpretation factor interpreting a basis of a prediction result for input data, the interpretation factor is determined by a value of each of a plurality of feature quantities contained in the input data including values of the plurality of feature quantities, and a first evaluation value of each of the plurality of feature quantities contained in the input data. When evaluation target data is input, the computer system calculates a prediction result, calculates a contribution value of each of the plurality feature quantities contained in the evaluation target data, specifies a corresponding interpretation factor, based on a value and a contribution value of each of the plurality of feature quantities contained in the evaluation target data, by referring to the interpretation factor conversion information, and generates and outputs display information for presenting the specified interpretation factor.

Abstract: Provided is a computer system to present information useful for achieving purposes related to an object by utilizing AI prediction. The computer system manages a prediction model for predicting an object event based on evaluation data and feature profiling database that defines a change rule of each of the plurality of feature values included in the evaluation data, generates change policy data by changing the plurality of feature values included in the evaluation data based on the feature profiling database, calculates an evaluation value indicating effectiveness of the change policy data, and generates display data for presenting the change policy data and the evaluation value as information useful for achieving purposes related to the object.

Abstract: A DB server 2 stores work achievement table 210 indicating a disposition target related to a work, an actual disposition place where the disposition target is disposed, and actual work time taken for the work for each work and location information 220 indicating a plurality of disposition places where the disposition targets can be disposed. A control portion 330 acquires a mutual action search policy including a plurality of mutual action emergence patterns indicating a relation between the two disposition places influencing the work time taken for the work. A generating portion (an item combination extraction portion 350, a mutual action set search portion 360, and a disposition change optimization portion 370) generates a disposition plan indicating a plan of disposition place where the disposition target is disposed on the basis of the work achievement information, the location information, and the mutual action search policy.

Abstract: There is provided is a computer system that outputs a predicted value of data to be evaluated using a predictor generated using learning data. The computer system includes the predictor; an index calculation unit that calculates an interpretation index of the data to be evaluated; and an extraction unit that selects the learning data useful for a user to interpret the predicted value of the data to be evaluated, wherein index management information for managing an interpretation index of the learning data is stored, the index calculation unit calculates the interpretation index of the data to be evaluated, and the extraction unit calculates a selection index based on the interpretation index of the data to be evaluated and the interpretation index of the learning data, selects the learning data based on the selection index, and outputs display information for presenting information indicating a processing result.

Abstract: A mood score calculation apparatus has a memory device that stores a manipulation history of a user on a predetermined device and a arithmetic device that classifies the manipulation history into any one of a verbal task and a spatial task on the basis of a predetermined algorithm, calculates the user's mood score on the basis of a relative relationship between the manipulation histories for each of the verbal task and the spatial task specified in the classification, and outputs information on the mood score into a predetermined output target.

Abstract: An analysis apparatus is connectable to a terminal capable of displaying web pages by accessing a web server capable of executing a web application. The analysis apparatus comprises a processor, a memory and an interface. The processor is configured to perform the following processing of: receiving at least one log concerning the web application stored in the terminal from the terminal via the interface; acquiring a plurality of kinds of use condition feature values based on the log received, the plurality of kinds of use condition feature values being information characterizing conditions of use of the web application; analyzing whether a correlation exists between a first kind of use condition feature values and a second kind of use condition feature values in the plurality of kinds of use condition feature values acquired in the processing of acquiring; and outputting an analysis result obtained by the processing of the analyzing.

Abstract: A mood score calculation system includes a processor and a memory. The memory is configured to hold relationship information on a relationship between a mood score of a user and a statistical feature for indicating fluctuation of operational interval time of a user terminal. The processor is configured to acquire an operation log of a first user terminal. The processor is configured to calculate, from the operation log, a value of a statistical feature for indicating fluctuation of operational interval time of the first user terminal. The processor is configured to determine a mood score of a user of the first user terminal based on the value of the statistical feature and the relationship information and output the mood score.

Abstract: An analysis apparatus is connectable to a terminal capable of displaying web pages by accessing a web server capable of executing a web application. The analysis apparatus comprises a processor, a memory and an interface. The processor is configured to perform the following processing of: receiving at least one log concerning the web application stored in the terminal from the terminal via the interface; acquiring a plurality of kinds of use condition feature values based on the log received, the plurality of kinds of use condition feature values being information characterizing conditions of use of the web application; analyzing whether a correlation exists between a first kind of use condition feature values and a second kind of use condition feature values in the plurality of kinds of use condition feature values acquired in the processing of acquiring; and outputting an analysis result obtained by the processing of the analyzing.

Abstract: An unnecessary load is prevented from being applied to the system even in cases where the time series data required for the time series data analysis processing has not been collected. A time series data processing apparatus assigns an arrival time, which is a time that the time series data arrived, to the time series data sent from the data source, determines whether the requested time series data has arrived, and predicts the arrival time of the time series data, which was determined by the data arrival determination unit as not yet arrived, based on the arrival time assigned to each of the time series data.

Abstract: When reproducing the running state after a failure has occurred in stream data processing, all window operations are used while minimizing the storage amount necessary for obtaining backup data. While an operator is performing stream data processing in response to a query, a query analysis unit analyzes the operator, which holds the running state of the window, etc., and the recovery points of said operator. When obtaining backup data, a backup data management unit manages the capacity necessary to obtain snapshots of the analyzed recovery points, calculates the storage area capacity needed for backing up input data up to each recovery point and the storage area capacity needed to obtain a snapshot for a window that cannot be reproduced in that way, and records the execution state by selecting a recovery point which minimizes the total value of necessary storage capacity.

Abstract: Collecting log data efficiently by controlling the capturing event for an operation log on the basis of application layer information. A web server generates a response including an operation log capturing script and the information from an operation log capturing control definition table and a property capturing definition table, and sends the response to a client. In the client, the received information is forwarded from a web browser module to a script engine module. An operation log capturing module sets the information acquisition event handler on the basis of the forwarded information, captures a sequential operation log on the basis of the operations performed by a user in the web browser, and sends the captured sequential operation log to a log server. A log server module collects sequential operation log in an operation log table, and a log analysis module analyzes the collected logs.

Abstract: Collecting log data efficiently by controlling the capturing event for an operation log on the basis of application layer information. A web server generates a response including an operation log capturing script and the information from an operation log capturing control definition table and a property capturing definition table, and sends the response to a client. In the client, the received information is forwarded from a web browser module to a script engine module. An operation log capturing module sets the information acquisition event handler on the basis of the forwarded information, captures a sequential operation log on the basis of the operations performed by a user in the web browser, and sends the captured sequential operation log to a log server. A log server module collects sequential operation log in an operation log table, and a log analysis module analyzes the collected logs.

Abstract: When reproducing the running state after a failure has occurred in stream data processing, all window operations are used while minimizing the storage amount necessary for obtaining backup data. While an operator is performing stream data processing in response to a query, a query analysis unit analyzes the operator, which holds the running state of the window, etc., and the recovery points of said operator. When obtaining backup data, a backup data management unit manages the capacity necessary to obtain snapshots of the analyzed recovery points, calculates the storage area capacity needed for backing up input data up to each recovery point and the storage area capacity needed to obtain a snapshot for a window that cannot be reproduced in that way, and records the execution state by selecting a recovery point which minimizes the total value of necessary storage capacity.

Abstract: Disclosed is a web page supplying system provided with a web server and a management server, wherein the web server has stored therein control information indicating whether to insert adding information into a web page requested by a client apparatus, refers to the stored control information when receiving a browsing request, evaluates whether to insert the adding information into the web page to be transmitted to the client apparatus requesting the web page, and controls, when an evaluation is made not to insert the adding information into the web page, an adding information inserting means such that the adding information is not inserted into the web page.

Abstract: A trail management system acquires and manages operation contents in a PC that is provided with an operation function including a document transcription function. When a user performs a transcription operation, a server acquires operation information and stores it as chronological data. The operation information contains time of the transcription operation, a user name, a value transcribed by the transcription operation, document specification information for specifying a transcription origin document during the transcription operation, location specification information for specifying a transcription origin location in the transcription origin document, document specification information for specifying a transcription destination document during the transcription operation, and location specification information for specifying a transcription destination location in the transcription origin document.

Abstract: An environmental control system according to the present invention is a system for controlling environmental devices by which a work status and a behavior status are monitored and the environmental devices are finely controlled in accordance with the statuses to improve comfort. The environmental control system includes a communication unit, a unit for detecting environments, a unit for detecting a work status, a unit for obtaining power consumption, a unit for determining the control of a device, and a unit for transmitting a control signal, and enables fine control in accordance with a work type.

Abstract: To readily understand contents of business operations without burdening an operator, this invention provides a business analysis method including: obtaining information on operations of a user with respect to software programs selected by the user among the plurality of software programs operated by a computer; estimating one business content that is executed by the computer in each of time spans based on a combination of exploited identification information of the plurality of software programs.

Abstract: Voice of plural participants during a meeting is obtained and dialogue situations of the participants that change every second are displayed in real time, so that it is possible to provide a meeting visualization system for triggering more positive discussions. Voice data collected from plural voice collecting units associated with plural participants is processed by a voice processing server to extract speech information. The speech information is sequentially input to an aggregation server. A query process is performed for the speech information by a stream data processing unit of the aggregation server, so that activity data such as the accumulation value of speeches of the participants in the meeting is generated. A display processing unit visualizes and displays dialogue situations of the participants by using the sizes of circles and the thicknesses of lines on the basis of the activity data.

Abstract: A load monitoring apparatus is provided to monitor a load state of one or more information processing apparatuses in a network and to control the load of such an information processing apparatus based on the monitoring result. Such a load monitoring apparatus comprises a measured value storage unit which stores both measured values and measurement time of performance information (for example, a queue length, a response time and the like) of each information processing apparatus; a fluctuation calculation unit which reads a plurality of measured values measured in a given time from the measured value storage unit for each information processing apparatus, and calculates a fluctuation of the plurality of measured values; and a load state judgment unit which compares the fluctuation calculated with a given threshold to judge the load state of each information processing apparatus. Using a fluctuation, the load state of an information processing apparatus in the network can be detected more accurately.

Abstract: An object of this invention is to analyze history information for each of a plurality of instances, and generate a time series pattern for each of a plurality of business processes. A time series pattern generating system analyzes the history information of an instance generated upon each execution of a class that defines a series of processes and is constituted by components having a defined order, and generates a time series pattern. The history information is generated upon each execution of the components, stored in chronological order, and includes a class identifier, a component identifier, an instance identifier, and component processing time information. Information relating to the processing order of the components that are executed in each instance is created, dependence relationships between the components are estimated, and a time series pattern including a component processing order is generated.