Abstract: An apparatus acquires a first input-table, based on target table information, and acquires a script for generating a first output-table from the first input-table, and a constraint condition between columns included in the first input-table and the first output-table. The apparatus converts the first input-table into a second input-table such that the second input-table obtained by converting a column structure of the first input-table and a second output-table to be obtained by converting a column structure of the target table comply with the constraint condition, and generates assignment information indicating a correspondence relationship between columns to be included in the second output-table and the target table. The apparatus generates the second output-table from the script and the second input-table, and converts the second output-table into the target table, based on the assignment information.

Abstract: A transfer learning method executed by a computer, the method includes: selecting learning data that satisfies a constraint identified from target learning data and source learning data; and extracting the selected learning data among the source learning data as transfer data to be used as the target learning data.

Abstract: An apparatus acquires a first input-table, based on target table information, and acquires a script for generating a first output-table from the first input-table, and a constraint condition between columns included in the first input-table and the first output-table. The apparatus converts the first input-table into a second input-table such that the second input-table obtained by converting a column structure of the first input-table and a second output-table to be obtained by converting a column structure of the target table comply with the constraint condition, and generates assignment information indicating a correspondence relationship between columns to be included in the second output-table and the target table. The apparatus generates the second output-table from the script and the second input-table, and converts the second output-table into the target table, based on the assignment information.

Abstract: An apparatus includes a memory that stores first and second classifier groups that have been learned using a subject that is acquired from an input domain including a plurality of subjects that are to be classified. The apparatus acquires, when correct answer data is input, a vector including evaluation values that are output by the first and second classifier groups as components, and selects a specific classifier group from among the first and second classifier groups, based on a dispersion relationship of the acquired vectors.

Abstract: A sensor information management system is connected to a network including a plurality of sensors and a computer including a service providing unit for providing services using data presented by at least one of the plurality of sensors. The sensor information management system includes: a sensor profile information record unit for recording sensor profile information; a sensor request information record unit for recording sensor request information; a scenario record unit for recording scenario data; a scenario generation unit for determining an operation for allowing the sensor, and recording the scenario data including the operation; and a scenario management unit for generating a control signal for allowing each sensor and transmitting the generated signal to the each sensor.

Abstract: A model creation support system includes a model managing part that acquires and accumulates an identifier of a model, data indicating a phenomenon, data indicating a regression equation, and evaluation data from an information processing apparatus that predicts or analyzes the phenomenon, using a model represented by the regression equation, a factor value extracting part that generates and records factor value data indicating the degree to which the factor contributes to the model from the accumulated data, and a model proposing part that refers to the factor value data based on a request for supporting model creation and model condition data received from the information processing apparatus, thereby generating and outputting support data containing a factor capable of contributing to the model to the information processing apparatus. Thus, information on factors of the model can be accumulated and utilized for enhancement of the fitting degree of the model.

Abstract: A user state presumption system and method determines whether a user has exhibited a specific intended behavior that is an aim of service(s) provided by analyzing data of a series of accesses of the user made relative to the service(s). An intended behavior probability calculator is provided which calculates, every predetermined period, a proportion of users who have exhibited the intended behavior among the plurality of users and records the obtained proportion calculated to implement the user state presumption system and method.

Abstract: A time factor feature generation system includes: a use status grasping portion that extracts transition data showing variations in degree of use of a site from log data; a variation data generating portion that generates, based on the transition data, variation data expressing the variations in degree of use of the site as a group Y of values showing the degree of use of the site; a time factor data recording portion in which a plurality of time factors and time factor values of each of the plurality of time factors are recorded; a time factor extracting portion that generates groups Di of time factor values, each of which corresponds to a time factor extracted from among the plurality of time factors; and a time factor feature generating portion 13 that calculates coefficients ai such that a square of an error b has a minimum value in an equation in which the groups Di and the group Y are used as an explaining variable and an explained variable, respectively, thereby to generate data showing a time factor f

Abstract: A computer-readable recording medium storing an information search program capable of retrieving desired information with ease. An index information-producing section produces index information associating a preparation object keyword with file identification information for identifying files in the file information each including, in a usage time zone thereof, a date and time matching a date and time at which the preparation object keyword was entered, based on dates and times at which the keyword in the keyword information stored in a keyword information-storing section was entered, and usage time zones during which files in the file information are used. A retrieval section retrieves the preparation object keyword matching a search object keyword entered by a keyword input operation from the index information, and outputs the file identification information for identifying files associated with the retrieved preparation object keyword.

Abstract: A modeling support system is provided in which a model structure is extracted from stored models so as to improve a resulting prediction model using the extracted structure. In a modeling support system 1, when information processors 15a to 15c analyze a phenomenon using covariance structure for modeling and request the modeling support system 1 for supporting the modeling, a model controller 4 acquires and controls observed variables, latent variables, and the associations between the variables of the object model. Then, a similar structure extractor 78 of a model extractor 7 compares the object model with reference models stored in a model recorder, and extracts a partial structure of the reference model having a structure similar to a partial structure of the object model as a similar structure, and then the model controller notifies the extracted similar structure to the information processor.

Abstract: A model creation support system includes a model managing part that acquires and accumulates an identifier of a model, data indicating a phenomenon, data indicating a regression equation, and evaluation data from an information processing apparatus that predicts or analyzes the phenomenon, using a model represented by the regression equation, a factor value extracting part that generates and records factor value data indicating the degree to which the factor contributes to the model from the accumulated data, and a model proposing part that refers to the factor value data based on a request for supporting model creation and model condition data received from the information processing apparatus, thereby generating and outputting support data containing a factor capable of contributing to the model to the information processing apparatus. Thus, information on factors of the model can be accumulated and utilized for enhancement of the fitting degree of the model.

Abstract: A user state presumption system includes a category storage, a transition model recorder, a log receiver, a log abstracting par, a behavior categorizing part, a category presuming part, a transition probability storage, a transition probability calculator, an intended behavior judging part; an intended behavior probability recorder; and an intended behavior probability calculator.

Abstract: An analysis system for analyzing the usage pattern of a machine operating in accordance with control information transmitted from an information processing apparatus by using an analysis apparatus. The system includes the information processing apparatus and the analysis apparatus. The information processing apparatus includes a first transmitting part transmitting control information for controlling the machine to the analysis apparatus.

Abstract: A sensor information management system is connected to a network including a plurality of sensors and a computer including a service providing unit for providing services using data presented by at least one of the plurality of sensors. The sensor information management system includes: a sensor profile information record unit for recording sensor profile information; a sensor request information record unit for recording sensor request information; a scenario record unit for recording scenario data; a scenario generation unit for determining an operation for allowing the sensor, and recording the scenario data including the operation; and a scenario management unit for generating a control signal for allowing each sensor and transmitting the generated signal to the each sensor.

Abstract: A calculation device calculates information relating to a processing speed for a plurality of processing devices which execute various kinds of process in response to a request from a process request device. The calculation device includes a response time calculation part which calculates a response time for each processing device, based on a time which each processing device needs for the process, a permissible time calculation part which calculates a permissible time for each item of identification information corresponding to the process request device, based on a time from a start of a request for the process, from the process request device to the processing device, to an interruption of the request for the process, and a calculation part which calculates information relating to a processing speed, for each processing device, for each item of identification information.

Abstract: According to an aspect of the embodiment, a wireless tag which outputs information through a communication part in response to a command of a controlling part. The wireless tag has a storage part which stores a plurality of encrypted identifications. The wireless tag has an output part outputting an identification which has not been output yet, of the identification stored in said storage part, out of the identifications stored in the storage part, when a request for outputting the identification is externally transmitted, through said communication part in accordance with said controlling part. The wireless tag includes a restricting part, which restricts an output of the encrypted identification stored in said storage part in accordance with said controlling part when said output part has output all of the identification stored in said storage part.

Abstract: A service evaluation system that evaluates a service in an IT system providing the service to a service user using an IT resource operated by a service operator includes a log acquisition part that acquires log data of the IT resource from a log data storage part, an interpretation data storage part that stores interpretation condition data representing a standard for interpreting the log data and interpretation result data representing a use state of the service by the service user, associated with the interpretation condition data, and a log evaluation part that extracts and outputs the interpretation result data stored in the interpretation data storage part, when the log data acquired by the log acquisition part satisfies the standard represented by the interpretation condition data.

Abstract: A time factor feature generation system includes: a use status grasping portion that extracts transition data showing variations in degree of use of a site from log data; a variation data generating portion that generates, based on the transition data, variation data expressing the variations in degree of use of the site as a group Y of values showing the degree of use of the site; a time factor data recording portion in which a plurality of time factors and time factor values of each of the plurality of time factors are recorded; a time factor extracting portion that generates groups Di of time factor values, each of which corresponds to a time factor extracted from among the plurality of time factors; and a time factor feature generating portion 13 that calculates coefficients ai such that a square of an error b has a minimum value in an equation in which the groups Di and the group Y are used as an explaining variable and an explained variable, respectively, thereby to generate data showing a time factor f

Abstract: A computer-readable recording medium storing an information search program capable of retrieving desired information with ease. An index information-producing section produces index information associating a preparation object keyword with file identification information for identifying files in the file information each including, in a usage time zone thereof, a date and time matching a date and time at which the preparation object keyword was entered, based on dates and times at which the keyword in the keyword information stored in a keyword information-storing section was entered, and usage time zones during which files in the file information are used. A retrieval section retrieves the preparation object keyword matching a search object keyword entered by a keyword input operation from the index information, and outputs the file identification information for identifying files associated with the retrieved preparation object keyword.

Abstract: An impression forming mechanism comprises; an arm with an indentor for forming an impression on a surface of a sample, and an arm operating part for operating the arm in order to apply a force to the sample, wherein the arm operating part is disposed below the arm.